Metaflow MCP Server

Give your coding agent superpowers over your Metaflow workflows. Instead of writing throwaway scripts to check run status or dig through logs, just ask -- your agent will figure out the rest.

Works with any Metaflow backend: local, S3, Azure, GCS, or Netflix internal.

Tools

Quickstart

pip install metaflow-mcp-server
claude mcp add --scope user metaflow -- metaflow-mcp-server

That's it. Restart Claude Code and start asking questions about your flows.

To upgrade:

pip install --upgrade metaflow-mcp-server

Then restart Claude Code (or reconnect via /mcp) to pick up the new version.

If Metaflow lives in a specific venv, point to it:

claude mcp add --scope user metaflow -- /path/to/venv/bin/metaflow-mcp-server

For other MCP clients, the server speaks stdio: metaflow-mcp-server

How it works

Wraps the Metaflow client API. Whatever backend your Metaflow is pointed at, the server uses too -- no separate config needed. Sets namespace(None) at startup so production runs (Argo, Step Functions, Maestro) are visible alongside your dev runs.

Starts once per session, communicates over stdin/stdout. No daemon, no port.

License

Apache-2.0