isaacwasserman/mcp-vegalite-server

Overview

A Python-based MCP server that generates Vega-Lite visualizations from fetched data. It accepts data inputs and returns Vega-Lite specifications for rendering charts and graphs.

Best for

Best for
Developers building MCP-based applications that need programmatic, declarative chart generation from data.

Use cases

• Create on-the-fly charts from API or database query results
• Embed interactive Vega-Lite visualizations in MCP-compatible applications
• Automate report generation with standardized chart outputs

How to use

Tools exposed

• save_data
• visualize_data

Tested with

Claude Desktop

Example client config

{\n  "mcpServers": {\n    "datavis": {\n        "command": "uv",\n        "args": [\n            "--directory",\n            "/absolute/path/to/mcp-datavis-server",\n            "run",\n            "mcp_server_datavis",\n            "--output_type",\n            "png" # or "text"\n        ]\n    }\n  }\n}

Notes

A Python-based MCP server that generates Vega-Lite visualizations from fetched data. It accepts data inputs and returns Vega-Lite specifications for rendering charts and graphs.

97 stars on GitHub. Last updated 2025-05-16.

Use cases

• Create on-the-fly charts from API or database query results
• Embed interactive Vega-Lite visualizations in MCP-compatible applications
• Automate report generation with standardized chart outputs

Pros

• Leverages the powerful Vega-Lite grammar for concise, declarative visualizations
• Integrates seamlessly with MCP-based tools and workflows
• Lightweight Python implementation with clear server-client separation

Cons

• Limited to Vega-Lite output; no support for other charting libraries
• Requires MCP-compatible client to consume the generated specifications
• Small community and fewer examples compared to more established visualization tools

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.