mcp server for mlflow
mcp server for mlflow
This project provides a natural language interface to MLflow via the Model Context Protocol (MCP). It allows you to query your MLflow tracking server using plain English, making it easier to manage and explore your machine learning experiments and models.
mlflow_server.py): Connects to your MLflow tracking server and exposes MLflow functionality through the Model Context Protocol (MCP).http://localhost:8080) - OpenAI API key for the LLMCompare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
http://localhost:8080) - OpenAI API key for the LLM| Variable | Description | Required |
|---|---|---|
| OPENAI_API_KEY | Credential the server authenticates with. | Yes |
| MLFLOW_TRACKING_URI | Configuration value read at startup. | Optional |
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
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