A Model Context Protocol (MCP) server that enables LLMs to interact with MLflow tracking servers. Query experiments, analyze runs, compare metrics, manage the model registry, and promote models to…
mlflow-mcp is an MCP project maintained in the kkruglik/mlflow-mcp repository. The maintainer describes its purpose as “A Model Context Protocol (MCP) server that enables LLMs to interact with MLflow tracking servers. Query experiments, analyze runs, compare metrics, manage the model registry…”. Read the project documentation for the complete scope.
The documented pypi package is mlflow-mcp. The configuration below comes from the maintainer’s example; adapt its paths and account values to your environment.
The example declares MLFLOW_TRACKING_URI. Secret-looking values have been replaced with placeholders. Required and optional labels are shown only when the documentation states them.
Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.
{
"mcpServers": {
"mlflow": {
"command": "uvx",
"args": [
"mlflow-mcp"
],
"env": {
"MLFLOW_TRACKING_URI": "http://localhost:5000"
}
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
| Variable | Description | Required |
|---|---|---|
| MLFLOW_TRACKING_URI | Declared in the maintainer’s client configuration. | Yes |
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