dataset-analysis-mcp is an open-source Model Context Protocol server that enables LLMs to perform stateful dataset analysis on macOS. It supports exploratory data analysis, data-quality checks, and outlier detection for data-science workflows.
dataset-analysis-mcp is a Frameworks & runtimes project. It focuses on enabling LLMs to perform repeatable dataset analysis and data-quality checks without manually building data-science workflows. It is built as an open-source project for data scientists and developers. dataset-analysis-mcp is open source under the MIT license. It runs on the command line, and it can be self-hosted.
It is developed by Kushal S., and it first shipped in 2026. The project is developed in the open on GitHub with 5 commits in the last 90 days. Key capabilities include exploratory data analysis, data quality checks, and outlier detection. It exposes integrations via an MCP server.
Summary written by a language model from the project’s public pages.
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