DataViz MCP is a local Panel web server that executes Python code snippets and renders the resulting visualizations as live, interactive web pages.
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<div align="center"> <img src="docs/assets/logo.svg" alt="DataViz MCP logo" width="110"> <h1>DataViz MCP</h1> <p><strong>Turn natural-language requests and Python code into live, inspectable visualizations.</strong></p> <p> A local visualization server for AI assistants, developers, and data teams.<br> Built with MCP, Panel, HoloViz, Datashader, and the wider PyData ecosystem. </p> <p> <a href="https://github.com/SuMayaBee/DataViz-MCP/actions/workflows/ci.yml"><img src="https://img.shields.io/github/actions/workflow/status/SuMayaBee/DataViz-MCP/ci.yml?style=flat-square&branch=main" alt="CI status"></a> <a href="https://pypi.org/project/dataviz-mcp"><img src="https://img.shields.io/pypi/v/dataviz-mcp.svg?logo=pypi&logoColor=white&style=flat-square" alt="PyPI version"></a> <a href="https://prefix.dev/channels/conda-forge/packages/dataviz-mcp"><img src="https://img.shields.io/conda/vn/conda-forge/dataviz-mcp?logoColor=white&logo=conda-forge&style=flat-square" alt="conda-forge version"></a> <a href="https://pypi.org/project/dataviz-mcp"><img src="https://img.shields.io/pypi/pyversions/dataviz-mcp?logoColor=white&logo=python&style=flat-square" alt="Supported Python versions"></a> </p> <p> <a href="https://SuMayaBee.github.io/DataViz-MCP/">Documentation</a> · <a href="https://SuMayaBee.github.io/DataViz-MCP/tutorials/installation/">Installation</a> · <a href="https://SuMayaBee.github.io/DataViz-MCP/tutorials/mcp-server/">MCP tutorial</a> · <a href="https://SuMayaBee.github.io/DataViz-MCP/examples/">Examples</a> </p> </div> ## What is DataViz MCP? DataViz MCP connects an AI assistant to a local Panel server. The assistant can inspect data, generate Python visualization code, validate it, render it as an interactive web page, review the result in a browser, and refine it before sharing the final visualization. It supports two complementary workflows: - **MCP mode:** create and inspect visualizations from VS…
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