diff --git a/ai/agent/.env.sample b/ai/agent/.env.sample
new file mode 100644
index 000000000..2710fc3ee
--- /dev/null
+++ b/ai/agent/.env.sample
@@ -0,0 +1,13 @@
+#INFERENCE_BASE_URL=http://0.0.0.0:11434/v1
+#INFERENCE_API_KEY="dummy"
+#INFERENCE_MODEL_NAME="openai/qwen3:4b"
+
+#INFERENCE_BASE_URL=https://api.perplexity.ai/v1
+#INFERENCE_API_KEY="REDACTED"
+#INFERENCE_MODEL_NAME="perplexity/sonar-pro"
+
+INFERENCE_BASE_URL=https://eu-de.ml.cloud.ibm.com
+INFERENCE_API_KEY="REDACTED"
+INFERENCE_MODEL_NAME="watsonx/meta-llama/llama-3-3-70b-instruct"
+INFERENCE_PROJECT_ID="REDACTED"
+
diff --git a/ai/agent/.gitignore b/ai/agent/.gitignore
new file mode 100644
index 000000000..2eea525d8
--- /dev/null
+++ b/ai/agent/.gitignore
@@ -0,0 +1 @@
+.env
\ No newline at end of file
diff --git a/ai/agent/README.md b/ai/agent/README.md
new file mode 100644
index 000000000..cc1bb0c64
--- /dev/null
+++ b/ai/agent/README.md
@@ -0,0 +1,95 @@
+Agent Overview
+--------------
+
+An agent is a small, purpose-built service that performs autonomous tasks by combining conversational logic, tool wrappers, and connectors to external services. Agents typically:
+
+- **Purpose**: Automate workflows and respond to user inputs or events.
+- **Components**: Orchestration logic, task definitions, tool adapters (APIs, search, databases), and an optional lightweight UI.
+
+![](./images/architecture.png)
+
+Why IBM Cloud Code Engine
+--------------
+
+[IBM Cloud Code Engine](https://www.ibm.com/products/code-engine) is a great fit for containerized agents because it provides:
+
+- **Serverless containers**: Deploy container images without managing infrastructure.
+- **Automatic scaling**: Scale to zero when idle and scale up on demand.
+- **Pay-per-use pricing**: Cost-efficient for intermittent workloads common to agents.
+- **Simple deployment**: Integrates with container registries and CI/CD pipelines.
+- **Managed endpoint**: Provides a secure http endpoint with a managed certificate.
+
+A very simple Agent
+--------------
+
+
+The agent implementation in this folder demonstrates a compact, production-minded agent pattern. It contains orchestration, task definitions, and tool wrappers that together implement a conversational assistant with tooling capabilities (search, task execution, and basic web UI).
+
+- **Agent entrypoint**: [./src/main.py](./src/main.py) — starts the agent process and HTTP endpoints.
+- **Agent orchestration**: [./src/agents.py](./src/agents.py) — coordinates agent behavior and message routing.
+- **Tasks**: [./src/tasks.py](./src/tasks.py) — concrete task implementations the agent can run.
+- **Tools / adapters**: [./src/tools.py](./src/tools.py) — wrappers for external APIs or search capabilities.
+- **Utilities**: [./src/utils.py](./src/utils.py) — helpers and common utilities.
+- **Frontend**: [./src/frontend/landing_page.py](./src/frontend/landing_page.py) — lightweight landing page for human interaction (optional).
+- **Example payload**: [./payload/payload.json](./agent/payload/payload.json) — sample input the agent can accept.
+
+Conceptually this agent acts like a Crew AI / ACP-style assistant: it receives a payload, enriches context (via tools/search), executes defined tasks, and returns results. The implementation is intentionally modular so you can swap tool implementations or extend task behaviors.
+
+
+
+
+Deploy the Agent to IBM Cloud Code Engine
+--------------
+
+**Prerequisites**
+
+The Agent requires an nferencing backend (an LLM or similar service) to operate. Configure the backend endpoint and credentials via environment variables. Configure any OpenAI compatible API endpoint such as [OpenAI](https://platform.openai.com/) or [IBM watsonx.ai](https://www.ibm.com/products/watsonx-ai)
+
+Copy the template
+```bash
+# If you have a .env.template
+cp .env.template .env
+```
+Edit the parameter
+```bash
+INFERENCE_BASE_URL=https://eu-de.ml.cloud.ibm.com
+INFERENCE_API_KEY="<YOUR API KEY>"
+INFERENCE_MODEL_NAME="watsonx/meta-llama/llama-3-3-70b-instruct"
+INFERENCE_PROJECT_ID="<YOUR PROJECT>"
+```
+
+**Deploy**
+
+1. Log in to IBM Cloud (choose the method that fits your account):
+
+```bash
+# Single-sign-on login (interactive)
+ibmcloud login --sso
+
+# Or with API key (non-interactive):
+ibmcloud login --apikey "$IBMCLOUD_APIKEY" -r REGION -g RESOURCE_GROUP
+```
+
+2. Change into the agent folder and run the provided deploy script:
+
+```bash
+NAME_PREFIX=ce-agent REGION=eu-de ./deploy.sh
+```
+
+3. The [deploy script](./agent/deploy.sh) builds and/or pushes the container and deploys it to IBM Cloud Code Engine. 
+
+
+4. Follow the script output for the agents URL and an example http request.
+
+
+What's next 
+---------
+
+- Modify the tasks in [./src/tasks.py](./src/tasks.py) and register them with the orchestration logic in [./src/agents.py](./src/agents.py).
+- Add your own tools by editing [./src/tools.py](./src/tools.py).
+- Deploy another agent and add it to the Crew [./src/main.py](./src/main.py)
+- [Deploy a MCP Server](../mcp_server_fastmcp/README.md) and make it accessible to your agent(s)
+
+Follow the [IBM Cloud Code Engine documentation](https://cloud.ibm.com/docs/codeengine?topic=codeengine-getting-started) to learn about more features and functions.
+
+![](./images/architecture2.png)
diff --git a/ai/agent/deploy.sh b/ai/agent/deploy.sh
new file mode 100755
index 000000000..b4865b76c
--- /dev/null
+++ b/ai/agent/deploy.sh
@@ -0,0 +1,138 @@
+#!/bin/bash
+
+# ==============================
+# ENVIRONMENT SETUP
+# ==============================
+
+source .env
+
+REGION="${REGION:=eu-de}"
+NAME_PREFIX="${NAME_PREFIX:=ce-agent}"
+
+ce_project_name=${PROJECT_NAME:-${NAME_PREFIX}-project}
+resource_group_name=${NAME_PREFIX}-rg
+
+# ==============================
+# COMMON FUNCTIONS
+# ==============================
+
+SCRIPT_DIR=$( cd -- "$( dirname -- "${BASH_SOURCE[0]}" )" &> /dev/null && pwd )
+source "${SCRIPT_DIR}/../common.sh"
+
+# Clean up previous run
+function clean() {
+    (
+        ibmcloud ce project select --name ${ce_project_name} --quiet 2>/dev/null
+        if [ $? == 0 ]; then
+            ibmcloud ce project delete --name ${ce_project_name} --force --hard --no-wait 2>/dev/null
+        fi
+
+        ibmcloud resource group $resource_group_name --quiet 2>/dev/null
+        if [[ $? == 0 ]]; then
+            COUNTER=0
+            # some resources (e.g. boot volumes) are deleted with some delay. Hence, the script waits before exiting with an error
+            while (( "$(ibmcloud resource service-instances --type all -g $resource_group_name --location $REGION --output json | jq -r '. | length')" > 0 )); do
+                sleep 5
+                COUNTER=$((COUNTER + 1))
+                if ((COUNTER > 3)); then
+                    print_error "Cleanup failed! Please make sure to delete remaining resources manually to avoid unwanted charges."
+                    ibmcloud resource service-instances --type all -g $resource_group_name --location $REGION
+                    exit 1
+                fi
+            done
+        fi
+
+	ibmcloud resource group-delete $resource_group_name --force 2>/dev/null
+    )
+}
+
+if [[ "$1" == "clean" ]]; then
+    print_msg "\nCleaning up the created IBM Cloud resources ..."
+    clean
+    print_success "\n==========================================\n DONE\n==========================================\n"
+    exit 0
+fi
+
+# ==============================
+# MAIN SCRIPT FLOW
+# ==============================
+
+# Ensure that latest versions of used IBM Cloud ClI is installed
+print_msg "\nPulling latest IBM Cloud CLI release ..."
+ibmcloud update --force
+
+# Ensure that latest versions of used IBM Cloud CLI plugins are installed
+print_msg "\nInstalling required IBM Cloud CLI plugins ..."
+ensure_plugin_is_up_to_date code-engine
+
+print_msg "\n======================================================"
+print_msg " Setting up \"Code Engine AI Agent\" sample"
+print_msg "======================================================\n"
+
+target_region $REGION
+
+#
+# Create the resource group, if it does not exist
+ibmcloud resource group $resource_group_name --quiet
+if [ $? != 0 ]; then
+    print_msg "\nCreating resource group '$resource_group_name' ..."
+    ibmcloud resource group-create $resource_group_name
+fi
+target_resource_group $resource_group_name
+
+if ! does_instance_exist codeengine "$ce_project_name"; then
+    print_msg "\nCreating the Code Engine project '$ce_project_name' ..."
+    ibmcloud ce project create --name $ce_project_name
+    if [ $? -ne 0 ]; then
+        print_error "Code Engine project creation failed!"
+        abortScript
+    fi
+else
+    print_msg "\nSelecting the Code Engine project '$ce_project_name' ..."
+    ibmcloud ce project select --name $ce_project_name
+fi
+project_guid=$(ibmcloud ce project get --name $ce_project_name --output json | jq -r '.guid')
+
+print_msg "\nCreating code engine secret for the agents with parameters from .env file"
+ibmcloud ce secret create --name agent-secret --from-literal INFERENCE_BASE_URL="$INFERENCE_BASE_URL" \
+--from-literal INFERENCE_API_KEY="$INFERENCE_API_KEY" \
+--from-literal INFERENCE_MODEL_NAME="$INFERENCE_MODEL_NAME" \
+--from-literal INFERENCE_PROJECT_ID="$INFERENCE_PROJECT_ID"
+
+print_msg "\nCreating the agent as a code engine application"
+ibmcloud ce app create --name agent --env-from-secret agent-secret --build-source ./src --build-strategy dockerfile  --cpu 1 --memory 4G -p 8080  --wait-timeout 600 --min-scale 0 --visibility public
+
+while true; do
+    ibmcloud ce app list
+    not_ready_apps=$(ibmcloud ce app list | grep -e "agent" | grep "Not Ready")
+    if [  "$not_ready_apps" == "" ]; then
+      break # all apps are ready
+    fi
+    print_msg "\nWaiting for all applications to be ready (sleep 15s)..."
+    sleep 15
+done
+
+print_msg "\n"
+print_msg "\nAgent application is ready."
+print_msg "\n"
+
+url=$(ibmcloud ce app get --name agent -o json | jq -r '.status.url')
+print_msg "\nAgent is reachable under the following url:"
+echo $url
+
+print_msg "\n"
+print_msg "\nList the agents:"
+curl -s -X GET $url/agents | jq
+
+
+print_msg "\n"
+print_msg "\nCalling the agent with the following payload"
+cat payload/payload.json | jq
+
+curl -s -X POST $url/runs -H "Content-Type: application/json" -d @payload/payload.json | jq
+
+print_success "\n=========================================="
+print_success " SUCCESS"
+print_success "==========================================\n"
+print_msg "\n"
+print_msg "\nrun ./deploy.sh clean to remove all created resources"
\ No newline at end of file
diff --git a/ai/agent/images/architecture.png b/ai/agent/images/architecture.png
new file mode 100644
index 000000000..ab123c2d8
Binary files /dev/null and b/ai/agent/images/architecture.png differ
diff --git a/ai/agent/images/architecture2.png b/ai/agent/images/architecture2.png
new file mode 100644
index 000000000..a0a658169
Binary files /dev/null and b/ai/agent/images/architecture2.png differ
diff --git a/ai/agent/payload/payload.json b/ai/agent/payload/payload.json
new file mode 100644
index 000000000..d3fd1fc9d
--- /dev/null
+++ b/ai/agent/payload/payload.json
@@ -0,0 +1 @@
+{"agent_name": "City_Expert", "input": [{"role": "User", "parts": [{"content": "{\"city\": \"Stuttgart\", \"country\": \"Germany\", \"currency\": \"EUR\"}"}]}]}
diff --git a/ai/agent/src/.dockerignore b/ai/agent/src/.dockerignore
new file mode 100644
index 000000000..7a7ebd681
--- /dev/null
+++ b/ai/agent/src/.dockerignore
@@ -0,0 +1,33 @@
+__pycache__/
+.my_cache_dir
+.pytest_cache
+.ruff_cache
+*.pyc
+*.pyo
+*.pyd
+*.db
+*.sqlite3
+
+.env
+.venv
+*.env
+
+**/.env
+**/.venv
+**/*.env
+
+.git
+.gitignore
+Dockerfile
+.dockerignore
+
+*.log
+*.bak
+*.swp
+
+.vscode/
+.idea/
+
+# OS-specific
+.DS_Store
+Thumbs.db
diff --git a/ai/agent/src/.gitignore b/ai/agent/src/.gitignore
new file mode 100644
index 000000000..9aa0060d3
--- /dev/null
+++ b/ai/agent/src/.gitignore
@@ -0,0 +1,13 @@
+# Python-generated files
+__pycache__/
+*.py[oc]
+build/
+dist/
+wheels/
+*.egg-info
+.mypy_cache
+.coverage
+.python-version
+
+# Virtual environments
+.venv
diff --git a/ai/agent/src/Dockerfile b/ai/agent/src/Dockerfile
new file mode 100644
index 000000000..26fcd4c48
--- /dev/null
+++ b/ai/agent/src/Dockerfile
@@ -0,0 +1,53 @@
+#################################################
+# Build stage
+#################################################
+
+FROM registry.access.redhat.com/ubi9/python-312:latest AS build-stage
+
+USER 1001
+WORKDIR $HOME
+
+ENV PATH="$HOME/.venv/bin:$PATH"
+
+# Install uv.
+COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /bin/
+
+# Copy the application into the container.
+COPY . .
+
+# Install the application dependencies.
+RUN uv sync --frozen --no-cache
+
+USER root
+
+# https://docs.trychroma.com/updates/troubleshooting#sqlite
+RUN uv add pysqlite3-binary
+RUN sed -i '1i # ruff: noqa: E402,I001\n__import__("pysqlite3")\nimport sys\nsys.modules["sqlite3"] = sys.modules.pop("pysqlite3")' main.py
+
+# Linting
+RUN ruff check . --no-cache
+
+# Reinstall without dev dependencies
+RUN uv sync --frozen --no-dev
+
+USER 1001
+
+#################################################
+# Production stage
+#################################################
+
+FROM registry.access.redhat.com/ubi9/python-312:latest
+
+USER 1001
+WORKDIR $HOME
+
+ENV PATH="$HOME/.venv/bin:$PATH"
+ENV MODE=${MODE:-production}
+ENV LOG_LEVEL=${LOG_LEVEL:-DEBUG}
+ENV PORT=${PORT:-5630}
+ENV WORKERS=${WORKERS:-1}
+
+COPY --from=build-stage $HOME/ .
+
+# Run the application.
+CMD uvicorn main:app --host 0.0.0.0 --port ${PORT} --workers ${WORKERS} --log-level ${LOG_LEVEL,,} --timeout-keep-alive 50  --header server:acp
diff --git a/ai/agent/src/README.md b/ai/agent/src/README.md
new file mode 100644
index 000000000..de88f38e1
--- /dev/null
+++ b/ai/agent/src/README.md
@@ -0,0 +1,9 @@
+# City Expert Agent
+
+```sh
+source .venv/bin/activate
+```
+
+```sh
+uv run main.py
+```
diff --git a/ai/agent/src/agents.py b/ai/agent/src/agents.py
new file mode 100644
index 000000000..2546eb6d4
--- /dev/null
+++ b/ai/agent/src/agents.py
@@ -0,0 +1,30 @@
+import os
+
+from crewai import LLM, Agent
+from dotenv import load_dotenv
+
+from tools import duckduckgosearch_tool, scrape_tool
+
+load_dotenv()
+
+llm = LLM(
+    model=os.getenv("INFERENCE_MODEL_NAME"),
+    base_url=os.getenv("INFERENCE_BASE_URL"),
+    api_key=os.getenv("INFERENCE_API_KEY", ""),
+    project_id=os.getenv("INFERENCE_PROJECT_ID"),
+    max_tokens=8192,
+    temperature=0,
+)
+
+city_local_expert_agent = Agent(
+    role="Local City Expert",
+    goal="Provide the BEST insights about the selected city",
+    backstory="A knowledgeable local guide with extensive information about the city, it's attractions and customs",
+    tools=[
+        scrape_tool,
+        duckduckgosearch_tool,
+    ],
+    reasoning=True,
+    verbose=True,
+    llm=llm,
+)
diff --git a/ai/agent/src/classes/task.py b/ai/agent/src/classes/task.py
new file mode 100644
index 000000000..0801946bd
--- /dev/null
+++ b/ai/agent/src/classes/task.py
@@ -0,0 +1,52 @@
+from dotenv import load_dotenv
+from litellm import completion
+from pydantic import BaseModel
+from schemas import Model
+
+load_dotenv()
+
+
+class Task:
+    def __init__(self, model: Model, system_prompt: str = None, output_type: BaseModel = None):
+        self.model = model
+        self.system_prompt = system_prompt
+        self.output_type = output_type
+
+    async def run(self, user_prompt: str):
+        messages = []
+
+        if self.system_prompt:
+            messages.append(
+                {
+                    "content": self.system_prompt,
+                    "role": "system",
+                }
+            )
+
+        messages.append(
+            {
+                "content": user_prompt,
+                "role": "user",
+            }
+        )
+
+        response = completion(
+            base_url=self.model.base_url,
+            api_key=self.model.api_key,
+            model=self.model.model,
+            messages=messages,
+            project_id=self.model.project_id,
+            temperature=0,
+            extra_body={
+                "response_format": {
+                    "type": "json_schema",
+                    "json_schema": {
+                        "name": "response-schema",
+                        "strict": True,
+                        "schema": self.output_type.model_json_schema(),
+                    },
+                }
+            },
+        )
+
+        return self.output_type.model_validate_json(response.choices[0].message.content)
diff --git a/ai/agent/src/frontend/__init__.py b/ai/agent/src/frontend/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/ai/agent/src/frontend/landing_page.py b/ai/agent/src/frontend/landing_page.py
new file mode 100644
index 000000000..1417280ed
--- /dev/null
+++ b/ai/agent/src/frontend/landing_page.py
@@ -0,0 +1,57 @@
+from fastapi.responses import HTMLResponse
+
+
+def render_landing_page(name: str):
+    html_content = f"""
+    <!DOCTYPE html>
+    <html>
+        <head>
+            <title>{name}</title>
+            <style>
+                :root {{
+                    --vp-home-hero-image-background-image: linear-gradient(-45deg, #9971F6 50%, #5B84F6 50%);
+                    --vp-home-hero-image-filter: blur(68px);
+                }}
+
+                .image-bg {{
+                    position: absolute;
+                    top: 50%;
+                    left: 50%;
+                    border-radius: 50%;
+                    width: 192px;
+                    height: 192px;
+                    background-image: var(--vp-home-hero-image-background-image);
+                    filter: var(--vp-home-hero-image-filter);
+                    transform: translate(-50%, -50%);
+                }}
+
+                html, body {{
+                    display: flex;
+                    flex-direction: column;
+                    align-items: center;
+                    justify-content: center;
+                    background-color: #1B1B1F;
+                    height: 100vh;
+                    width: 100vw;
+
+                    color: #dfdfd6;
+                    font-family: "Inter", ui-sans-serif, system-ui, sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol", "Noto Color Emoji";
+                    font-synthesis: style;
+                    text-rendering: optimizeLegibility;
+                    -webkit-font-smoothing: antialiased;
+                }}
+
+                h1 {{
+                    color: #fcfcfc;
+                }}
+            </style>
+        </head>
+        <body>
+            <div class="image-bg"></div>
+            <svg focusable="false" preserveAspectRatio="xMidYMid meet" fill="currentColor"  width="245" height="246" viewBox="0 0 32 32" aria-hidden="true" xmlns="http://www.w3.org/2000/svg"><path d="M18 10H20V12H18zM12 10H14V12H12z"></path><path d="M26,20H21V18h1a2.0023,2.0023,0,0,0,2-2V12h2V10H24V8a2.0023,2.0023,0,0,0-2-2H20V2H18V6H14V2H12V6H10A2.0023,2.0023,0,0,0,8,8v2H6v2H8v4a2.0023,2.0023,0,0,0,2,2h1v2H6a2.0023,2.0023,0,0,0-2,2v8H6V22H26v8h2V22A2.0023,2.0023,0,0,0,26,20ZM10,8H22v8H10Zm3,10h6v2H13Z"></path><title>Bot</title></svg>
+            <h1>{name}</h1>
+        </body>
+    </html>
+    """
+
+    return HTMLResponse(content=html_content)
diff --git a/ai/agent/src/main.py b/ai/agent/src/main.py
new file mode 100644
index 000000000..7c45f6077
--- /dev/null
+++ b/ai/agent/src/main.py
@@ -0,0 +1,88 @@
+import json
+import warnings
+from collections.abc import AsyncGenerator
+
+import uvicorn
+from acp_sdk.models import Message
+from acp_sdk.server import RunYield, RunYieldResume, agent, create_app
+from crewai import Crew
+from dotenv import load_dotenv
+from fastapi.responses import HTMLResponse
+
+from agents import city_local_expert_agent
+from frontend.landing_page import render_landing_page
+from tasks import create_gather_task
+from utils import safe_kickoff
+
+warnings.filterwarnings("ignore")
+
+load_dotenv()
+
+AGENT_NAME = "City_Expert"
+AGENT_DESCRIPTION = "A culturally aware, detail-oriented travel specialist with deep local knowledge of global destinations. Provides travelers with personalized, on-the-ground insights that go beyond tourist guides."
+
+
+@agent(
+    name=AGENT_NAME,
+    description=AGENT_DESCRIPTION,
+)
+async def city_selection_agent(
+    input: list[Message],
+) -> AsyncGenerator[RunYield, RunYieldResume]:
+    agent_input = input[0].parts[0].content or ""
+
+    try:
+        agent_arguments = json.loads(agent_input)
+    except json.JSONDecodeError:
+        agent_arguments = {}
+
+    gather_task = create_gather_task(location=f"{agent_arguments.get('city')}, {agent_arguments.get('country')}", currency=agent_arguments.get("currency"))
+
+    crew = Crew(
+        agents=[city_local_expert_agent],
+        tasks=[gather_task],
+        verbose=True,
+    )
+
+    city_guide = await safe_kickoff(crew)
+
+    yield Message(
+        parts=[
+            {
+                "content_type": "application/json",
+                "content": city_guide.raw,
+            },
+        ]
+    )
+
+
+app = create_app(
+    city_selection_agent,
+    dependencies=[],
+)
+
+
+@app.get(
+    "/",
+    response_class=HTMLResponse,
+    include_in_schema=False,
+)
+async def landing_page():
+    return render_landing_page(name=AGENT_NAME)
+
+
+def main():
+    uvicorn.run(
+        "main:app",
+        host="0.0.0.0",
+        port=5630,
+        workers=1,
+        log_level="info",
+        headers=[("server", "acp")],
+        reload=True,
+        loop="uvloop",
+    )
+
+
+if __name__ == "__main__":
+    main()
diff --git a/ai/agent/src/pyproject.toml b/ai/agent/src/pyproject.toml
new file mode 100644
index 000000000..118d422f2
--- /dev/null
+++ b/ai/agent/src/pyproject.toml
@@ -0,0 +1,16 @@
+[project]
+name = "city-expert-agent"
+version = "0.0.1"
+description = "Add your description here"
+readme = "README.md"
+requires-python = ">=3.12"
+dependencies = [
+    "acp-sdk>=0.9.1",
+    "crewai[tools]==0.120.1",
+    "fastapi>=0.115.12",
+    "python-dotenv>=1.1.0",
+    "uvicorn>=0.34.2",
+]
+
+[dependency-groups]
+dev = ["ruff>=0.11.10"]
diff --git a/ai/agent/src/ruff.toml b/ai/agent/src/ruff.toml
new file mode 100644
index 000000000..30da9c2a9
--- /dev/null
+++ b/ai/agent/src/ruff.toml
@@ -0,0 +1,76 @@
+# Exclude a variety of commonly ignored directories.
+exclude = [
+    ".bzr",
+    ".direnv",
+    ".eggs",
+    ".git",
+    ".git-rewrite",
+    ".hg",
+    ".ipynb_checkpoints",
+    ".mypy_cache",
+    ".nox",
+    ".pants.d",
+    ".pyenv",
+    ".pytest_cache",
+    ".pytype",
+    ".ruff_cache",
+    ".svn",
+    ".tox",
+    ".venv",
+    ".local",
+    ".vscode",
+    ".cache",
+    "__pypackages__",
+    "_build",
+    "buck-out",
+    "build",
+    "dist",
+    "node_modules",
+    "site-packages",
+    "venv",
+    "hallucination-detection",
+    "search-ai",
+    "nltk_data",
+    "bin",
+]
+
+# Same as Black.
+line-length = 200
+indent-width = 4
+
+# Assume Python 3.8
+target-version = "py38"
+
+[lint]
+# Enable Pyflakes (`F`) and a subset of the pycodestyle (`E`)  codes by default.
+select = [
+    "E4",
+    "E7",
+    "E9",
+    "I",     # Import-related issues
+    "F",     # Formatting issues
+    "Q",     # Quote style issues
+    "UP039", # Pyupgrade issues (removal of unnecessary parentheses in class definitions)
+]
+ignore = []
+
+# Allow fix for all enabled rules (when `--fix`) is provided.
+fixable = ["ALL"]
+unfixable = []
+
+# Allow unused variables when underscore-prefixed.
+dummy-variable-rgx = "^(_+|(_+[a-zA-Z0-9_]*[a-zA-Z0-9]+?))$"
+
+[format]
+# Like Black, use double quotes for strings.
+quote-style = "double"
+# quote-style = "single"
+
+# Like Black, indent with spaces, rather than tabs.
+indent-style = "space"
+
+# Like Black, respect magic trailing commas.
+skip-magic-trailing-comma = false
+
+# Like Black, automatically detect the appropriate line ending.
+line-ending = "auto"
diff --git a/ai/agent/src/tasks.py b/ai/agent/src/tasks.py
new file mode 100644
index 000000000..748d8b486
--- /dev/null
+++ b/ai/agent/src/tasks.py
@@ -0,0 +1,53 @@
+import textwrap
+
+from crewai import Task
+
+from agents import city_local_expert_agent
+
+
+def create_gather_task(location, currency):
+    return Task(
+        description=textwrap.dedent(f"""
+            As a Travel Local Expert — a culturally aware, detail-oriented travel specialist with deep local knowledge of global destinations and expert on this city you must compile an 
+            in-depth guide for someone traveling there and wanting to have THE BEST trip ever!
+
+            You provide travelers with personalized, on-the-ground insights that go beyond tourist guides.
+
+            **Goal**:
+            Help travelers discover the most authentic, enjoyable, and relevant experiences in their chosen destination, tailored to their interests, budget, and travel style.
+
+            Gather information about key attractions, local customs, special events, and daily activity recommendations.
+            
+            **Capabilities**:
+            - Recommend hidden gems, local favorites, and off-the-beaten-path experiences.
+            - Provide advice on cultural norms, etiquette, and local customs.
+            - Suggest dining, sightseeing, spots, and activities.
+            - Avoid tourist traps by offering locally trusted alternatives.
+            - Tailor recommendations based on the traveler's interests
+            - Understand the seasonal context (weather, events, festivals).
+            - Provide practical tips such as local transport options, safety, and budgeting hacks.
+            - Research hotels and accommodation based on budget and preferences.
+
+            **Instructions**:
+            - Always align your suggestions with the traveler's preferences and stated budget.
+            - Prioritize authenticity and cultural depth over generic or overly commercial options.
+            - Highlight why each recommendation is a good fit for the traveler (context matters).
+            - Avoid clichés and vague travel advice — be specific, current, and useful.
+
+            This guide should provide a thorough overview of what the city has to offer,
+            including hidden gems, cultural hotspots, must-visit landmarks, weather forecasts,
+            and high level costs.
+
+            The final answer must in a clear, friendly tone, formatted as a structured guide or itinerary.
+            The guide should be written in markdown and should include a heading hierarchy (starting with H1) within the document.
+            Include bullet points for easy reading when appropriate.
+            If needed, cite relevant details like location, hours, or expected costs.
+                                    
+            Always present prices in the user's preferred currency: {currency}.
+
+            **Selected city**:
+            {location}
+        """),
+        agent=city_local_expert_agent,
+        expected_output="Comprehensive city guide including hidden gems, cultural hotspots, and practical travel tips. Important: Return the output in markdown format.",
+    )
diff --git a/ai/agent/src/tools.py b/ai/agent/src/tools.py
new file mode 100644
index 000000000..f98159836
--- /dev/null
+++ b/ai/agent/src/tools.py
@@ -0,0 +1,25 @@
+from crewai.tools.base_tool import BaseTool
+from crewai_tools import ScrapeWebsiteTool, SerperDevTool
+from langchain_community.tools import DuckDuckGoSearchRun
+
+
+class DuckDuckGoSearchTool(BaseTool):
+    name: str = "DuckDuckGo Search Tool"
+    description: str = "Search the web for a given query."
+
+    def _run(self, query: str) -> str:
+        try:
+            duckduckgo_tool = DuckDuckGoSearchRun()
+
+            return duckduckgo_tool.invoke(query)
+        except SyntaxError:
+            return "Error: Invalid syntax in mathematical expression"
+
+    def _get_tool(self):
+        # Create an instance of the tool when needed
+        return DuckDuckGoSearchTool()
+
+
+scrape_tool = ScrapeWebsiteTool()
+duckduckgosearch_tool = DuckDuckGoSearchTool()
+search_tool = SerperDevTool()
diff --git a/ai/agent/src/utils.py b/ai/agent/src/utils.py
new file mode 100644
index 000000000..99befafcc
--- /dev/null
+++ b/ai/agent/src/utils.py
@@ -0,0 +1,15 @@
+import asyncio
+import logging
+
+
+async def safe_kickoff(crew, retries=2, delay=1):
+    for attempt in range(retries + 1):
+        try:
+            return await crew.kickoff_async()
+        except Exception as e:
+            if attempt < retries:
+                logging.warning(f"kickoff_async failed (attempt {attempt + 1}): {e}, retrying...")
+                await asyncio.sleep(delay)
+            else:
+                logging.error(f"kickoff_async failed after {retries + 1} attempts: {e}")
+                raise
diff --git a/ai/agent/src/uv.lock b/ai/agent/src/uv.lock
new file mode 100644
index 000000000..51beaf07e
--- /dev/null
+++ b/ai/agent/src/uv.lock
@@ -0,0 +1,3696 @@
+version = 1
+revision = 1
+requires-python = ">=3.12"
+resolution-markers = [
+    "python_full_version >= '3.13'",
+    "python_full_version >= '3.12.4' and python_full_version < '3.13'",
+    "python_full_version < '3.12.4'",
+]
+
+[[package]]
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+version = "0.10.1"
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diff --git a/ai/common.sh b/ai/common.sh
new file mode 100755
index 000000000..c90ab8fd2
--- /dev/null
+++ b/ai/common.sh
@@ -0,0 +1,105 @@
+#!/bin/bash
+
+# ==============================
+# COMMON FUNCTIONS
+# ==============================
+
+RED="\033[31m"
+BLUE="\033[94m"
+GREEN="\033[32m"
+ENDCOLOR="\033[0m"
+
+function print_error {
+    echo -e "${RED}\n==========================================${ENDCOLOR}"
+    echo -e "${RED} FAILED${ENDCOLOR}"
+    echo -e "${RED}==========================================\n${ENDCOLOR}"
+    echo -e "${RED}$1${ENDCOLOR}"
+    echo -e ""
+}
+function print_msg {
+    echo -e "${BLUE}$1${ENDCOLOR}"
+}
+function print_success {
+    echo -e "${GREEN}$1${ENDCOLOR}"
+}
+
+# Helper function to check whether prerequisites are installed
+function check_prerequisites {
+    # Ensure that jq tool is installed
+    if ! command -v jq &>/dev/null; then
+        print_error "'jq' tool is not installed"
+        exit 1
+    fi
+}
+
+# ==============================
+# COMMON IBMCLOUD HELPERS
+# ==============================
+
+# helper function to check whether IBM Cloud CLI plugins should get updated, or not
+function ensure_plugin_is_up_to_date() {
+    echo "Checking $1 ..."
+    # check whether plugin is installed
+    if ! ibmcloud plugin show $1 -q >/dev/null; then
+        # install it
+        ibmcloud plugin install $1 -f --quiet
+    else 
+        # check whether there is an update available
+        ibmcloud plugin update $1 -f --quiet
+    fi
+}
+
+function target_region {
+    print_msg "\nTargetting IBM Cloud region '$1' ..."
+    current_region=$(ibmcloud target --output JSON |jq -r '.region|.name')
+    if [[ "$current_region" != "$1" ]]; then
+        ibmcloud target -r $1 --quiet
+    fi
+}
+
+function target_resource_group {
+    print_msg "\nTargetting resource group '$1' ..."
+    current_resource_group_guid=$(ibmcloud target --output JSON |jq -r '.resource_group|.guid')
+    new_resource_group_guid=$(ibmcloud resource group $1 -output json|jq -r '.[0].id')
+    if [[ "$current_resource_group_guid" != "$new_resource_group_guid" ]]; then
+        ibmcloud target -g $1 --quiet
+    fi
+     echo "Done"
+}
+
+function does_instance_exist {
+    (( $(ibmcloud resource search "service_name:\"$1\" AND name:\"$2\"" --output JSON|jq -r '.items|length') > 0 ))
+}
+
+function does_serviceid_exist {
+    (( $(ibmcloud resource search "type:serviceid AND name:\"$1\"" --output JSON|jq -r '.items|length') > 0 ))
+}
+
+function has_bucket_name_with_prefix {
+    buckets=$(ibmcloud cos buckets -output json)
+    COS_BUCKET_NAME=""
+    if [[ "$(echo "${buckets}" | jq -r '.Buckets')" != "null" ]]; then
+        for bucket in $(echo "${buckets}" | jq -r '.Buckets|.[] | @base64'); do
+            _jq() {
+                echo ${bucket} | base64 --decode | jq -r ${1}
+            }
+            bucket_name=$(_jq '.Name')
+            if [[ "$bucket_name" =~ ^$1-* ]]; then 
+                COS_BUCKET_NAME=$bucket_name
+            fi
+        done
+    fi
+    echo $COS_BUCKET_NAME
+}
+
+
+function abortScript() {
+    if [[ "${CLEANUP_ON_ERROR}" == true ]]; then
+        clean
+    else
+        print_msg "\nSkipping deletion of the created IBM Cloud resources. Please be aware that the created resources will occur costs in your account."
+        echo "$ ibmcloud resource service-instances --type all -g $resource_group_name --location $REGION"
+        ibmcloud resource service-instances --type all -g $resource_group_name --location $REGION
+    fi
+    exit 1
+}
\ No newline at end of file
diff --git a/ai/langflow/README.md b/ai/langflow/README.md
new file mode 100644
index 000000000..0fe0303d2
--- /dev/null
+++ b/ai/langflow/README.md
@@ -0,0 +1,67 @@
+# LangFlow on IBM Code Engine
+
+![](./images/architecture.png)
+
+## What is LangFlow
+
+- [LangFlow](https://www.langflow.org/) is an open-source, Python-based **low-code visual framework** designed for rapid prototyping and deployment of **LLM-powered applications**.
+- It allows you to **visually define pipelines** that connect **Agents**, **Tools** and **LLMs** so you can build, test, and iterate on behaviors without writing glue code.
+- It comes with batteries included and supports all major LLMs, vector databases and a **growing library of AI tools**.
+
+## Why Code Engine is a great fit
+
+Using **[IBM Cloud Code Engine](https://www.ibm.com/products/code-engine)** you can expose both the developer visual editor and the end-user interface via an out-of-the-box system domain, making it easy to share and host LangFlow apps.
+
+- **Managed runtime:** Code Engine runs containers without managing servers, lowering operational overhead.
+- **Public endpoints:** Apps get a reachable URL out of the box, simplifying access for developers and end users.
+- **Scalability & cost control:** Configure CPU/memory and min/max scale for predictable resource use and autoscaling when needed.
+- **Integrates with COS:** Object storage (IBM Cloud Object Storage) can be mounted as a persistent data store for flows, state and uploads.
+- **Secure secrets & PDS:** Use Code Engine secrets and Persistent Data Stores (PDS) to store credentials and mount COS buckets securely.
+
+## Deploy 
+
+This repository includes a convenience script `deploy.sh` that automates the common steps (creating a Code Engine project, creating a COS instance and bucket, creating a service key, creating a CE secret and PDS, and deploying the image).
+
+**Prerequisites**
+
+Create an IBM Cloud account on the target Code Engine provider (e.g., IBM Cloud Code Engine) and [login into your IBM Cloud account using the IBM Cloud CLI](https://cloud.ibm.com/docs/codeengine?topic=codeengine-install-cli).
+
+
+**Deploy** 
+Run the bundled script from this folder which automates the steps above and configures COS/PDS integration:
+
+```bash
+./deploy.sh
+```
+
+The script accepts optional environment variables to customize region and naming, e.g.:
+
+```bash
+REGION=eu-de NAME_PREFIX=ce-langflow ./deploy.sh
+```
+
+Notes on persistence
+
+- The deployment mounts an IBM Cloud Object Storage bucket as a Persistent Data Store so LangFlow can persist flows and state across restarts.
+- The script creates a secret (`langflow-cos-secret`) containing HMAC credentials and a PDS (`langflow-store`) that points the app at the bucket.
+
+## Access the environment
+
+After deployment, retrieve the app URL with:
+
+```bash
+ibmcloud ce app get --name langflow -o json | jq -r '.status.url'
+```
+
+The script also prints the reachable URL, for example:
+
+```
+https://langflow.26pr644bfbfc.eu-de.codeengine.appdomain.cloud
+```
+
+## Use LangFlow
+
+Open the URL in a browser window to access the visual editor of [LangFlow](https://www.langflow.org/) and start desiging you first flow. If you already have a flow, you can import it as well.
+
+![](./images/langflow_ui.png)
+
diff --git a/ai/langflow/deploy.sh b/ai/langflow/deploy.sh
new file mode 100755
index 000000000..c486cace1
--- /dev/null
+++ b/ai/langflow/deploy.sh
@@ -0,0 +1,177 @@
+#!/bin/bash
+
+# ==============================
+# ENVIRONMENT SETUP
+# ==============================
+
+REGION="${REGION:=eu-de}"
+NAME_PREFIX="${NAME_PREFIX:=ce-langflow}"
+
+# Generate a short uuid for some resources
+uuid=$(uuidgen | tr '[:upper:]' '[:lower:]' | awk -F- '{print $1}')
+
+ce_project_name=${PROJECT_NAME:-${NAME_PREFIX}-project}
+resource_group_name=${NAME_PREFIX}-rg
+cos_name="${NAME_PREFIX}--cos"
+cos_key_name="${NAME_PREFIX}--cos-key"
+cos_bucket_name_langflow_store="${NAME_PREFIX}-langflow-store-${uuid}"
+
+# ==============================
+# COMMON FUNCTIONS
+# ==============================
+
+SCRIPT_DIR=$( cd -- "$( dirname -- "${BASH_SOURCE[0]}" )" &> /dev/null && pwd )
+source "${SCRIPT_DIR}/../common.sh"
+
+# Clean up previous run
+function clean() {
+    (
+        ibmcloud ce project select --name ${ce_project_name} --quiet 2>/dev/null
+        if [ $? == 0 ]; then
+            ibmcloud ce project delete --name ${ce_project_name} --force --hard --no-wait 2>/dev/null
+        fi
+
+        ibmcloud resource service-key-delete ${cos_key_name} --force 2>/dev/null
+        ibmcloud cos bucket-delete --bucket ${cos_bucket_name_langflow_store} --force 2>/dev/null
+        ibmcloud resource service-instance-delete ${cos_name} -f -q 2>/dev/null
+
+        ibmcloud resource group $resource_group_name --quiet 2>/dev/null
+        if [[ $? == 0 ]]; then
+            COUNTER=0
+            # some resources (e.g. boot volumes) are deleted with some delay. Hence, the script waits before exiting with an error
+            while (( "$(ibmcloud resource service-instances --type all -g $resource_group_name --location $REGION --output json | jq -r '. | length')" > 0 )); do
+                sleep 5
+                COUNTER=$((COUNTER + 1))
+                if ((COUNTER > 3)); then
+                    print_error "Cleanup failed! Please make sure to delete remaining resources manually to avoid unwanted charges."
+                    ibmcloud resource service-instances --type all -g $resource_group_name --location $REGION
+                    exit 1
+                fi
+            done
+        fi
+
+	ibmcloud resource group-delete $resource_group_name --force 2>/dev/null
+    )
+}
+
+if [[ "$1" == "clean" ]]; then
+    print_msg "\nCleaning up the created IBM Cloud resources ..."
+    clean
+    print_success "\n==========================================\n DONE\n==========================================\n"
+    exit 0
+fi
+
+# ==============================
+# MAIN SCRIPT FLOW
+# ==============================
+
+# Ensure that latest versions of used IBM Cloud ClI is installed
+print_msg "\nPulling latest IBM Cloud CLI release ..."
+ibmcloud update --force
+
+# Ensure that latest versions of used IBM Cloud CLI plugins are installed
+print_msg "\nInstalling required IBM Cloud CLI plugins ..."
+ensure_plugin_is_up_to_date code-engine
+
+print_msg "\n======================================================"
+print_msg " Setting up \"Code Engine LangFlow\" sample"
+print_msg "======================================================\n"
+
+target_region $REGION
+
+#
+# Create the resource group, if it does not exist
+ibmcloud resource group $resource_group_name --quiet
+if [ $? != 0 ]; then
+    print_msg "\nCreating resource group '$resource_group_name' ..."
+    ibmcloud resource group-create $resource_group_name
+fi
+target_resource_group $resource_group_name
+
+if ! does_instance_exist codeengine "$ce_project_name"; then
+    print_msg "\nCreating the Code Engine project '$ce_project_name' ..."
+    ibmcloud ce project create --name $ce_project_name
+    if [ $? -ne 0 ]; then
+        print_error "Code Engine project creation failed!"
+        abortScript
+    fi
+else
+    print_msg "\nSelecting the Code Engine project '$ce_project_name' ..."
+    ibmcloud ce project select --name $ce_project_name
+fi
+project_guid=$(ibmcloud ce project get --name $ce_project_name --output json | jq -r '.guid')
+
+
+#
+# Creating COS instance and bucket
+if ! does_instance_exist cloud-object-storage "$cos_name"; then
+    print_msg "\nCreating COS instance '${cos_name}' ..."
+    ibmcloud resource service-instance-create $cos_name cloud-object-storage standard global -d premium-global-deployment-iam
+    if [ $? -ne 0 ]; then
+        print_error "Cloud Object Storage creation failed!"
+        abortScript
+    fi
+fi
+
+COS_ID=$(ibmcloud resource service-instance $cos_name --output json | jq -r '.[0] | .id')
+ibmcloud cos config crn --crn ${COS_ID} --force >/dev/null 2>&1
+ibmcloud cos config auth --method IAM >/dev/null
+ibmcloud cos config region --region $REGION >/dev/null
+ibmcloud cos config endpoint-url --url s3.${REGION}.cloud-object-storage.appdomain.cloud >/dev/null
+
+# Make sure all COS buckets do exist
+res=$(has_bucket_name_with_prefix "${NAME_PREFIX}-langflow-store-")
+if [[ "$res" == "" ]]; then
+    print_msg "\nCreating COS bucket '${cos_bucket_name_langflow_store}' ..."
+    ibmcloud cos bucket-create --bucket ${cos_bucket_name_langflow_store} --ibm-service-instance-id $COS_ID
+else
+    cos_bucket_name_langflow_store=$res
+fi
+
+
+# Create COS credentials
+if ! does_serviceid_exist "${cos_key_name}"; then
+    print_msg "\nCreating COS service key '${cos_key_name}' ..."
+    ibmcloud resource service-key-create ${cos_key_name} --parameters '{"HMAC":true}' --instance-id $COS_ID
+fi
+
+print_msg "\nCOS instance '${COS_ID}' configured..."
+
+
+print_msg "\nCreating a Code Engine Persistant Data Store 'langflow-cos-secret' to access the COS bucket as the task state store ..."
+create_or_update=update
+if ! ibmcloud ce secret get --name langflow-cos-secret >/dev/null 2>&1; then
+    create_or_update="create --format hmac"
+fi
+ibmcloud ce secret $create_or_update --name langflow-cos-secret \
+    --secret-access-key $(ibmcloud resource service-key ${cos_key_name} --output JSON | jq -r '.[0] | .credentials | .cos_hmac_keys | .secret_access_key') \
+    --access-key-id $(ibmcloud resource service-key ${cos_key_name} --output JSON | jq -r '.[0] | .credentials | .cos_hmac_keys | .access_key_id')
+
+if ! ibmcloud ce pds get --name langflow-store >/dev/null 2>&1; then
+    ibmcloud ce pds create --name langflow-store \
+        --cos-bucket-name ${cos_bucket_name_langflow_store} \
+        --cos-bucket-location ${REGION} \
+        --cos-access-secret langflow-cos-secret
+fi
+
+print_msg "\nDeploy the LangFlow application to Code Engine"
+ibmcloud ce app create --name langflow --image langflowai/langflow:latest --cpu 4 --memory 8G -p 7860  --wait-timeout 600 --min-scale 1 --visibility public --env LANGFLOW_SAVE_DB_IN_CONFIG_DIR=True --mount-data-store /app/data=langflow-store:data
+while true; do
+    ibmcloud ce app list
+    not_ready_apps=$(ibmcloud ce app list | grep -e "langflow" | grep "Not Ready")
+    if [  "$not_ready_apps" == "" ]; then
+      break # all apps are ready
+    fi
+    print_msg "\nWaiting for all applications to be ready (sleep 15s)..."
+    sleep 15
+done
+
+print_msg "\nLangFlow application is ready."
+
+url=$(ibmcloud ce app get --name langflow -o json | jq -r '.status.url')
+print_msg "\nLangFlow application is reachable under the following url:"
+print_msg "$url"
+print_msg "\nrun ./deploy.sh clean to remove all created resources"
+print_success "\n=========================================="
+print_success " SUCCESS"
+print_success "==========================================\n"
diff --git a/ai/langflow/images/architecture.png b/ai/langflow/images/architecture.png
new file mode 100644
index 000000000..65de62f5f
Binary files /dev/null and b/ai/langflow/images/architecture.png differ
diff --git a/ai/langflow/images/langflow_ui.png b/ai/langflow/images/langflow_ui.png
new file mode 100644
index 000000000..364519a19
Binary files /dev/null and b/ai/langflow/images/langflow_ui.png differ
diff --git a/ai/mcp_server_fastmcp/.gitignore b/ai/mcp_server_fastmcp/.gitignore
new file mode 100644
index 000000000..0300decc2
--- /dev/null
+++ b/ai/mcp_server_fastmcp/.gitignore
@@ -0,0 +1 @@
+**/.venv
diff --git a/ai/mcp_server_fastmcp/README.md b/ai/mcp_server_fastmcp/README.md
new file mode 100644
index 000000000..d88ff5a51
--- /dev/null
+++ b/ai/mcp_server_fastmcp/README.md
@@ -0,0 +1,148 @@
+FastMCP — Fast, tiny MCP server example
+======================================
+
+Overview
+--------
+This directory contains a minimal FastMCP server example and a companion client. FastMCP demonstrates a tiny, runnable implementation of an MCP-compatible service (Model Context Protocol) intended for local testing and quick deployment to cloud platforms.
+
+![](./images/architecture.png)
+
+About MCP and FastMCP
+---------------------
+
+MCP (Model Context Protocol) is a lightweight, transport-agnostic convention for exchanging model prompts, context, and responses between clients and model-serving services. It emphasizes:
+
+- **Transport flexibility**: works over HTTP, SSE, WebSocket, stdio and other streamable transports.
+- **Streaming-first behavior**: supports incremental/streaming responses for low-latency UX.
+- **Simple JSON semantics**: easy to implement and interoperate between services.
+
+**[FastMCP](https://gofastmcp.com/getting-started/welcome) is the standard framework for building MCP applications.** 
+
+The [Direct Http Server](https://gofastmcp.com/deployment/http#direct-http-server) example provides a minimal reference implementation meant for experimentation and quick deployments. It focuses on a very small API surface and fast startup so you can iterate locally or run tiny instances in cloud platforms like Code Engine.
+
+
+Why Code Engine?
+-----------------
+
+[IBM Cloud Code Engine](https://www.ibm.com/products/code-engine) is a great fit for containerized MCP Servers because it provides:
+
+- **Serverless containers**: Deploy container images without managing infrastructure.
+- **Automatic scaling**: Scale to zero when idle and scale up on demand.
+- **Pay-per-use pricing**: Cost-efficient for intermittent workloads common to agents.
+- **Simple deployment**: Integrates with container registries and CI/CD pipelines.
+- **Managed endpoint**: Provides a secure http endpoint with a managed certificate.
+
+A very tiny MCP Server
+----------------------
+
+The Python source code for the MCP server is located in [./server/main.py](./server/main.py):
+
+```python
+from fastmcp import FastMCP
+
+mcp = FastMCP("My FastMCP Server on Code Engine")
+
+@mcp.tool
+def process_data(input: str) -> str:
+    """Process data on the server"""
+    """ADD YOUR BUSINESS LOGIC HERE"""
+    return f"Processed: {input}"
+
+if __name__ == "__main__":
+    mcp.run(transport="http", host="0.0.0.0", port=8080)
+```
+
+Deploying the server to Code Engine
+----------------------------------
+
+**Prerequisites**
+Create an IBM Cloud account on the target Code Engine provider (e.g., IBM Cloud Code Engine) and [login into your IBM Cloud account using the IBM Cloud CLI](https://cloud.ibm.com/docs/codeengine?topic=codeengine-install-cli).
+
+**Deploy**
+
+1. Authenticate and login to IBM Cloud:
+
+```bash
+ibmcloud login --sso
+ibmcloud login --apikey "$IBMCLOUD_APIKEY" -r us-south
+
+```
+
+2. Run the included deploy script from this folder. The script creates a new Code Engine project in the specified region and automates build/push/deploy steps to create a new application in Code Engine. 
+
+```bash
+NAME_PREFIX=ce-fastmcp REGION=eu-de ./deploy.sh
+```
+
+3. The deploy script will print the URL under which the MCP Server is publicly accessible
+
+```
+FastMCP application is reachable under the following url:
+https://fastmcp.26n4g2nfyw7s.eu-de.codeengine.appdomain.cloud/mcp
+```
+
+🚀 The example was successful and you can now use the MCP server in your chat application 🚀
+
+Building and using the client
+-----------------------------
+The `client` directory contains a small Python client to exercise the server.
+
+1. Create a virtual environment and install dependencies:
+
+```bash
+python3 -m venv .venv
+source .venv/bin/activate
+pip install -r client/requirements.txt
+```
+
+2. Run the client
+
+Start the client by replacing the application URL from above as the `MCP_SERVER_URL` environment variable, e.g.
+
+```bash
+MCP_SERVER_URL="https://fastmcp.26n4g2nfyw7s.eu-de.codeengine.appdomain.cloud/mcp" python client.py
+```
+
+3. Inspect and adapt
+- Open `client/client.py` to find example calls. The client is intentionally minimal so you can adapt it to your tooling or CI.
+
+Using this example with Claude Desktop
+-------------------------------------
+Claude Desktop can connect to local or remote MCP servers by registering them in its `claude_desktop_config.json` (Claude -> Settings -> Developer -> Edit Config). 
+
+
+Example `claude_desktop_config.json` entry that point to your deployed application URL:
+
+```json
+{
+  "mcpServer": {
+    "FastMCP (Code Engine)": {
+      "command": "npx",
+      "args": [
+        "mcp-remote",
+        "https://fastmcp.26n4g2nfyw7s.eu-de.codeengine.appdomain.cloud/mcp"
+      ]
+    }
+  }
+}
+```
+
+Save settings and restart Claude Desktop; the remote MCP server should appear as a selectable tool in Claude Desktop.
+
+![](./images/claude_tool.png)
+
+You can now chat with the MCP Server, e.g.
+
+**_"How does the server process: Hello, World!"_**
+
+Claude will detect the tool and call, respond with the response implemented in `process_data`, e.g. **_Processed: Hello, World!_**
+
+![](./images/claude_chat.png)
+
+Note, the LLM even detected the simplicity of our MCP Server.
+
+
+What's next?
+------------
+
+You now have a very simple reference architecture to deploy any MCP server of your choice. 
\ No newline at end of file
diff --git a/ai/mcp_server_fastmcp/client/client.py b/ai/mcp_server_fastmcp/client/client.py
new file mode 100644
index 000000000..b8a54220f
--- /dev/null
+++ b/ai/mcp_server_fastmcp/client/client.py
@@ -0,0 +1,30 @@
+import asyncio
+import os
+from fastmcp import Client, FastMCP
+
+mcp_server_url = os.getenv("MCP_SERVER_URL", default="http://localhost:8080/mcp")
+
+# HTTP server
+client = Client(mcp_server_url)
+
+# Local Python script
+#client = Client("../src/main.py")
+
+async def main():
+    async with client:
+        # Basic server interaction
+        await client.ping()
+
+        # List available operations
+        tools = await client.list_tools()
+        print("Available tools:", tools)
+        resources = await client.list_resources()
+        print("Available resources:", resources)
+        prompts = await client.list_prompts()
+        print("Available prompts:", prompts)
+
+        # Execute operations
+        result = await client.call_tool("process_data", {"input": "Hello, FastMCP!"})
+        print(result)
+
+asyncio.run(main())
\ No newline at end of file
diff --git a/ai/mcp_server_fastmcp/client/requirements.txt b/ai/mcp_server_fastmcp/client/requirements.txt
new file mode 100644
index 000000000..35a7d0c69
--- /dev/null
+++ b/ai/mcp_server_fastmcp/client/requirements.txt
@@ -0,0 +1 @@
+fastmcp
\ No newline at end of file
diff --git a/ai/mcp_server_fastmcp/deploy.sh b/ai/mcp_server_fastmcp/deploy.sh
new file mode 100755
index 000000000..1cc631625
--- /dev/null
+++ b/ai/mcp_server_fastmcp/deploy.sh
@@ -0,0 +1,119 @@
+#!/bin/bash
+
+# ==============================
+# ENVIRONMENT SETUP
+# ==============================
+
+REGION="${REGION:=eu-de}"
+NAME_PREFIX="${NAME_PREFIX:=ce-fastmcp}"
+
+ce_project_name=${PROJECT_NAME:-${NAME_PREFIX}-project}
+resource_group_name=${NAME_PREFIX}-rg
+
+# ==============================
+# COMMON FUNCTIONS
+# ==============================
+
+SCRIPT_DIR=$( cd -- "$( dirname -- "${BASH_SOURCE[0]}" )" &> /dev/null && pwd )
+source "${SCRIPT_DIR}/../common.sh"
+
+# Clean up previous run
+function clean() {
+    (
+        ibmcloud ce project select --name ${ce_project_name} --quiet 2>/dev/null
+        if [ $? == 0 ]; then
+            ibmcloud ce project delete --name ${ce_project_name} --force --hard --no-wait 2>/dev/null
+        fi
+
+        ibmcloud resource group $resource_group_name --quiet 2>/dev/null
+        if [[ $? == 0 ]]; then
+            COUNTER=0
+            # some resources (e.g. boot volumes) are deleted with some delay. Hence, the script waits before exiting with an error
+            while (( "$(ibmcloud resource service-instances --type all -g $resource_group_name --location $REGION --output json | jq -r '. | length')" > 0 )); do
+                sleep 5
+                COUNTER=$((COUNTER + 1))
+                if ((COUNTER > 3)); then
+                    print_error "Cleanup failed! Please make sure to delete remaining resources manually to avoid unwanted charges."
+                    ibmcloud resource service-instances --type all -g $resource_group_name --location $REGION
+                    exit 1
+                fi
+            done
+        fi
+
+	ibmcloud resource group-delete $resource_group_name --force 2>/dev/null
+    )
+}
+
+if [[ "$1" == "clean" ]]; then
+    print_msg "\nCleaning up the created IBM Cloud resources ..."
+    clean
+    print_success "\n==========================================\n DONE\n==========================================\n"
+    exit 0
+fi
+
+# ==============================
+# MAIN SCRIPT FLOW
+# ==============================
+
+# Ensure that latest versions of used IBM Cloud ClI is installed
+print_msg "\nPulling latest IBM Cloud CLI release ..."
+ibmcloud update --force
+
+# Ensure that latest versions of used IBM Cloud CLI plugins are installed
+print_msg "\nInstalling required IBM Cloud CLI plugins ..."
+ensure_plugin_is_up_to_date code-engine
+
+print_msg "\n======================================================"
+print_msg " Setting up \"Code Engine AI Agent\" sample"
+print_msg "======================================================\n"
+
+target_region $REGION
+
+#
+# Create the resource group, if it does not exist
+ibmcloud resource group $resource_group_name --quiet
+if [ $? != 0 ]; then
+    print_msg "\nCreating resource group '$resource_group_name' ..."
+    ibmcloud resource group-create $resource_group_name
+fi
+target_resource_group $resource_group_name
+
+if ! does_instance_exist codeengine "$ce_project_name"; then
+    print_msg "\nCreating the Code Engine project '$ce_project_name' ..."
+    ibmcloud ce project create --name $ce_project_name
+    if [ $? -ne 0 ]; then
+        print_error "Code Engine project creation failed!"
+        abortScript
+    fi
+else
+    print_msg "\nSelecting the Code Engine project '$ce_project_name' ..."
+    ibmcloud ce project select --name $ce_project_name
+fi
+project_guid=$(ibmcloud ce project get --name $ce_project_name --output json | jq -r '.guid')
+
+print_msg "\nCreating the MCP Server as a code engine application"
+ibmcloud ce app create --name fastmcp --build-source ./server --build-strategy buildpacks  --cpu 1 --memory 4G -p 8080  --wait-timeout 600 --min-scale 0 --visibility public
+
+while true; do
+    ibmcloud ce app list
+    not_ready_apps=$(ibmcloud ce app list | grep -e "fastmcp" | grep "Not Ready")
+    if [  "$not_ready_apps" == "" ]; then
+      break # all apps are ready
+    fi
+    print_msg "\nWaiting for all applications to be ready (sleep 15s)..."
+    sleep 15
+done
+
+print_msg "\n"
+print_msg "\nFastMCP application is ready."
+print_msg "\n"
+
+url=$(ibmcloud ce app get --name fastmcp -o json | jq -r '.status.url')
+print_msg "\nFastMCP application is reachable under the following url:"
+print_msg "\n$url/mcp"
+
+print_success "\n=========================================="
+print_success " SUCCESS"
+print_success "==========================================\n"
+print_msg "\n"
+print_msg "\nrun ./deploy.sh clean to remove all created resources"
diff --git a/ai/mcp_server_fastmcp/images/architecture.png b/ai/mcp_server_fastmcp/images/architecture.png
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diff --git a/ai/mcp_server_fastmcp/images/claude_tool.png b/ai/mcp_server_fastmcp/images/claude_tool.png
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diff --git a/ai/mcp_server_fastmcp/server/Procfile b/ai/mcp_server_fastmcp/server/Procfile
new file mode 100644
index 000000000..bcf680485
--- /dev/null
+++ b/ai/mcp_server_fastmcp/server/Procfile
@@ -0,0 +1 @@
+web: python main.py
\ No newline at end of file
diff --git a/ai/mcp_server_fastmcp/server/main.py b/ai/mcp_server_fastmcp/server/main.py
new file mode 100644
index 000000000..7de7b4d01
--- /dev/null
+++ b/ai/mcp_server_fastmcp/server/main.py
@@ -0,0 +1,12 @@
+from fastmcp import FastMCP
+
+mcp = FastMCP("My FastMCP Server on Code Engine")
+
+@mcp.tool
+def process_data(input: str) -> str:
+    """Process data on the server"""
+    """ADD YOUR BUSINESS LOGIC HERE"""
+    return f"Processed: {input}"
+
+if __name__ == "__main__":
+    mcp.run(transport="http", host="0.0.0.0", port=8080)
\ No newline at end of file
diff --git a/ai/mcp_server_fastmcp/server/requirements.txt b/ai/mcp_server_fastmcp/server/requirements.txt
new file mode 100644
index 000000000..35a7d0c69
--- /dev/null
+++ b/ai/mcp_server_fastmcp/server/requirements.txt
@@ -0,0 +1 @@
+fastmcp
\ No newline at end of file