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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?

    Acknowledges MLflow as a related project in the model evaluation ecosystem

  • 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.

    MLflow Prompt Registry MCP Server

    B-Step62
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    security
    F
    license
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    quality
    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.
    Last updated -
    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

    MLflow MCP Server

    iRahulPandey
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    security
    F
    license
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    quality
    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.
    Last updated -
    3
    Python
    • Linux
    • Apple