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antv/mcp-server-chart

by Various

πŸ€– A visualization mcp & skills contains 25+ visual charts using @antvis. Using for chart generation and data analysis.

MCP

antv/mcp-server-chart

Added 1 June 2026

#antv #llm #mcp #mcp-server #skills #visualization

Overview

A visualization MCP server that provides over 25 chart types using the AntV library. It integrates with AI agents through the Model Context Protocol to generate charts and support data analysis tasks.

Best for

Best for
Developers building AI agents that need to output visual charts from data

Use cases

  • Integrating chart generation into AI assistant workflows
  • Producing visual analytics from data in chat interfaces
  • Generating charts programmatically via MCP calls

How to use

Install

npx skills add antvis/chart-visualization-skills

Tools exposed

  • VIS_REQUEST_SERVER
  • SERVICE_ID
  • DISABLED_TOOLS

Tested with

Claude Code, Cursor, Cline, VS Code

Example client config

{\n  "mcpServers": {\n    "mcp-server-chart": {\n      "command": "npx",\n      "args": ["-y", "@antv/mcp-server-chart"]\n    }\n  }\n}

Notes

A visualization MCP server that provides over 25 chart types using the AntV library. It integrates with AI agents through the Model Context Protocol to generate charts and support data analysis tasks.

4,123 stars on GitHub. Last updated 2026-05-06. Licensed MIT.

Use cases

  • Integrating chart generation into AI assistant workflows
  • Producing visual analytics from data in chat interfaces
  • Generating charts programmatically via MCP calls

Pros

  • Supports 25+ chart types for diverse visualization needs
  • Leverages AntV’s robust visualization framework
  • Compatible with MCP-based AI agent ecosystems

Cons

  • Requires an MCP-compatible client or agent to use
  • May need data formatted specifically for the server
  • Customization options may be limited compared to direct AntV use

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

Pros

  • Supports 25+ chart types for diverse visualization needs
  • Leverages AntV's robust visualization framework
  • Compatible with MCP-based AI agent ecosystems

Cons

  • Requires an MCP-compatible client or agent to use
  • May need data formatted specifically for the server
  • Customization options may be limited compared to direct AntV use

Open-source & AI alternatives

Swap-in tools that solve the same job. Weigh the trade-offs before you commit.

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