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Research & Data #Python#本地运行#MIT

eda-mcp

Enables exploratory data analysis through an MCP server, allowing AI assistants to load datasets, compute summary statistics, generate diagnostic plots, perform correlation analysis, and produce full markdown reports.

Research & Data 0 platforms 0 features

Install

Paste the configuration above into your MCP client config (claude_desktop_config.json for Claude Desktop) and restart the client.

No configuration sample provided; see the repository.

Paste the configuration above into your MCP client config (claude_desktop_config.json for Claude Desktop) and restart the client.

Sources: public MCP Server directories. This is an independent third-party directory with no affiliation to or endorsement from the maintainers of the listed servers.

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