MCP Servers for MLflow

MLflow is an open-source platform for managing the end-to-end machine learning lifecycle, including experiment tracking, reproducible runs, and model deployment.

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  • Why this server?

    Connects to MLflow Prompt Registry, allowing access to managed prompt templates through MCP, with tools for listing available prompts and retrieving specific prompts with variable arguments.

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    Enables access to prompt templates managed in MLflow through Claude Desktop, allowing users to instruct Claude with saved templates for repetitive tasks or common workflows.
    1
    TypeScript
  • Why this server?

    Provides a natural language interface to MLflow, enabling queries about registered models, experiment tracking, and system information using plain English

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    A natural language interface for MLflow that allows users to query and manage their machine learning experiments and models using plain English through the Model Context Protocol.
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    Python
    • Linux
    • Apple