io.github.us-all/mlflow

io.github.us-all/mlflow

MLflow MCP — experiments, runs, registered models, versions, traces, assessments (MLflow 3)

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Add this to your MCP client config — claude_desktop_config.json (Claude Desktop) or .cursor/mcp.json (Cursor).Suits: Claude Desktop · Cursor.

{
  "mcpServers": {
    "mlflow": {
      "command": "npx",
      "args": [
        "-y",
        "@us-all/mlflow-mcp@1.12.7"
      ],
      "env": {
        "MLFLOW_TRACKING_URI": "<your MLFLOW_TRACKING_URI>",
        "MLFLOW_TRACKING_TOKEN": "<your MLFLOW_TRACKING_TOKEN>",
        "MLFLOW_TRACKING_PASSWORD": "<your MLFLOW_TRACKING_PASSWORD>",
        "MLFLOW_ALLOW_WRITE": "false"
      }
    }
  }
}
Environment variables
  • MLFLOW_TRACKING_URIrequiredMLflow tracking server URI (e.g. http://localhost:5050, https://mlflow.example.com).
  • MLFLOW_TRACKING_TOKENsecretBearer token for authenticated MLflow servers (e.g. Databricks).
  • MLFLOW_TRACKING_PASSWORDsecretBasic-auth password (alternative to token).
  • MLFLOW_ALLOW_WRITESet to 'true' to enable write/destructive tools. Default read-only.

A starting point — check the repository for exact arguments and setup. Restart your client after editing the config.

Category
Developer Tools
Version
1.12.7
Registry
active
Published
6/19/2026

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