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qualityEnables access to prompt templates managed in MLflow through Claude Desktop, allowing users to instruct Claude with saved templates for repetitive tasks or common workflows.
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MLflow is an open-source platform for managing the end-to-end machine learning lifecycle, including experiment tracking, reproducible runs, and model deployment.
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.
Why this server?
Provides a natural language interface to MLflow, enabling queries about registered models, experiment tracking, and system information using plain English
Why this server?
Acknowledges MLflow as a related project in the model evaluation ecosystem
Why this server?
Enables logging of repository snapshots (git history, filesystem stats, environment markers) as artifacts to MLflow experiments for tracking and versioning.