mendrift-mcp combines an autonomous LLM-powered agent for MLOps incident response with an MCP server. It focuses on drift detection and integrates with tools like Evidently and MLflow. The package helps machine learning operations teams automatically identify, diagnose, and respond to model performance issues in production environments.
mendrift-mcp is an AI & ML project. It focuses on detecting and autonomously responding to machine learning model drift and MLOps incidents. It is built as an open-source project for mlops engineers. The project is open source (MIT). It ships for the command line and API.
It is developed by Suneel, and it first shipped in 2026. Development happens publicly on GitHub with 27 commits in the last 90 days. Key capabilities include Drift Detection, Incident Response, and MCP Server. It exposes integrations via an MCP server.
Summary written by a language model from the project’s public pages.
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