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MLflow MCP
MCP server for MLflow — the open-source ML lifecycle platform by Databricks. Log experiments, compare runs, register models, manage the model registry, and track artifacts from AI and ML pipeline agents.
MCP unverified
Integration
| Transport | stdio |
| Auth | api-key |
| Endpoint | npx -y @mlflow/mcp-server |
| Install | npx -y @mlflow/mcp-server |
Use Cases
| 01 | Log and compare ML experiment runs from AI training pipeline agents |
| 02 | Query model registry and promote models across staging and production |
| 03 | Track artifacts and metrics across model development workflows automatically |
Tags
ml-lifecycle experiment-tracking model-registry artifacts open-source databricks
Machine-readable: /api/servers.json
· JSON-LD schema embedded in <head>