| name | agentic-pipeline-mcp |
| description | Use this skill when working on the Python agentic_ai subsystem or Claude Code MCP integration for this repository, including the LangGraph pipeline, local MCP server, cloud adapters, and the project .mcp.json configuration. |
Agentic Pipeline MCP
This skill covers agentic_ai/ and the repo-local Claude Code MCP setup.
Working Rules
- Treat
agentic_ai/ as a separate Python project with its own settings and operational assumptions.
- Use the current MCP server implementation as the source of truth for available tools, resources, and prompts.
- Reconcile README claims, Make targets, health checks, and runtime code before saying the subsystem is ready.
- If you wire Claude Code MCP integration, prefer the local Python module entrypoint over hand-wavy docs.
Validation
- Check
mcp_server/app.py, mcp_server/runtime.py, agentic_ai/config/settings.py, and agentic_ai/requirements.txt together.
- Confirm whether a requested change belongs in the pipeline, the MCP wrapper, or the deployment adapters.
References
- For runtime and config details, read
references/pipeline-map.md.