- Create a Dockerfile for consistent deployment and environment.
- Use
uvto manage Python versions and dependencies. - Integrate CI/CD (e.g., GitHub Actions) for automation:
- Trigger: Tag push
- Build and push Docker image to Docker Hub
- Auto Changelog
- Automatically deploy GitHub Pages
- Automatically generate SBOM
- API schema validation (pydantic).
- Code security checks (e.g., bandit).
- Create a Restful API that complies with MCP standards.
- Automate documentation generation (e.g., Sphinx or MkDocs).
- Automate unit tests (suggested: pytest).
- Code coverage reports (e.g., coverage.py).
- Add E2E tests using smolagent to validate AI Agent interactions with MCP tools
- Use
docker runin MCP Server to simplify container startup.