metaflow-mcp-server
Enables coding agents to interact with Metaflow workflows, including querying flows, runs, tasks, logs, and artifacts across any Metaflow backend.
README
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.
<p align="center"> <img src="demo/demo.gif" alt="demo" width="800"> </p>
Tools
| Tool | Description |
|---|---|
get_config |
What backend am I connected to? (also returns your default namespace) |
list_flows |
What flows exist in a namespace? |
search_runs |
Find recent runs of any flow |
get_run |
Step-by-step breakdown of a run |
get_task_logs |
Pull stdout/stderr from a task |
list_artifacts |
What did this step produce? |
get_artifact |
Grab an artifact's value |
get_latest_failure |
What broke and why? |
search_artifacts |
Which runs produced a named artifact? |
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
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