MCP server for data visualization from tracking-mcp
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# viz-mcp [](https://pypi.org/project/viz-mcp/) [](https://pypi.org/project/viz-mcp/) [](https://github.com/mindfullabai/viz-mcp/blob/main/LICENSE) [](https://pypi.org/project/viz-mcp/) [](https://github.com/mindfullabai/viz-mcp/stargazers) **Data visualization MCP server with auto-chart generation and multi-chart dashboards.** Automatically generate interactive charts, heatmaps, and comprehensive dashboards from any data structure. Auto-detects optimal chart type, generates insights, and outputs self-contained HTML or PNG files. ## Features - **Auto-Detection**: Automatically selects optimal chart type from data structure - **Multiple Chart Types**: Line, bar, pie, table, metric displays - **Interactive Visualizations**: Self-contained HTML with Plotly (no internet required) - **Static Charts**: High-quality PNG exports with Matplotlib - **Multi-Chart Dashboards**: Combine multiple charts in single HTML file - **AI-Generated Insights**: Automatic data analysis and observations - **Chart Management**: List and delete generated charts - **Flexible Input**: Accepts dict, list, nested structures - **Zero Configuration**: Works out of the box with sensible defaults ## Installation ### From PyPI (when published) ```bash pip install viz-mcp ``` ### From Source ```bash git clone https://github.com/mariomosca/viz-mcp.git cd viz-mcp pip install -e . ``` ## Quick Start ### Claude Desktop Configuration Add to your Claude Desktop MCP settings (`~/Library/Application Support/Claude/claude_desktop_config.json` on macOS): ```json { "mcpServers": { "viz": { "command": "viz-mcp", "env": { "EXPORT_DIR": "/path/to/ex…
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