lilyle-2211/mlflow_mcp_server
3.1
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A well-structured, modular Model Context Protocol (MCP) server that enables Claude Desktop to interact with MLflow experiments through natural language conversations.
Tools
Functions exposed to the LLM to take actions
experiments.py
Experiment management
runs.py
Run tracking and comparison
models.py
Model registry operations
artifacts.py
Artifact handling
system.py
Health checks and system info
Prompts
Interactive templates invoked by user choice
No prompts
Resources
Contextual data attached and managed by the client