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jinzcdev/markmap-mcp-server

by Various

An MCP server for converting Markdown to interactive mind maps with export support (PNG/JPG/SVG).

J

MCP

jinzcdev/markmap-mcp-server

Added 1 June 2026

#ai #llm #markmap #mcp #mcp-server #mindmap #mindnode #xmind

Overview

A TypeScript MCP server that converts Markdown content into interactive mind maps. It supports exporting the generated maps as PNG, JPG, or SVG files, enabling developers to integrate visual mapping directly into their tools and workflows.

Best for

Best for
Developers building AI-assisted tools that need to produce mind maps from structured text

Use cases

  • Convert hierarchical Markdown notes into mind maps for brainstorming or review
  • Generate visual summaries of documentation or meeting notes for dashboards
  • Export mind maps to image formats for embedding in presentations or reports

Notes

A TypeScript MCP server that converts Markdown content into interactive mind maps. It supports exporting the generated maps as PNG, JPG, or SVG files, enabling developers to integrate visual mapping directly into their tools and workflows.

205 stars on GitHub. Last updated 2026-03-18. Licensed MIT.

Use cases

  • Convert hierarchical Markdown notes into mind maps for brainstorming or review
  • Generate visual summaries of documentation or meeting notes for dashboards
  • Export mind maps to image formats for embedding in presentations or reports

Pros

  • Leverages the MCP protocol for easy integration with LLM tools and custom pipelines
  • Provides multiple export formats (PNG, JPG, SVG) for flexible use across platforms
  • Simple, focused functionality with a clear Markdown-to-map conversion

Cons

  • Limited to Markdown input and may not handle complex data structures or non-hierarchical content
  • Dependent on the MCP ecosystem, which is still emerging and has fewer mainstream integrations
  • No built-in editing or post-processing beyond the initial conversion and export

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

Pros

  • Leverages the MCP protocol for easy integration with LLM tools and custom pipelines
  • Provides multiple export formats (PNG, JPG, SVG) for flexible use across platforms
  • Simple, focused functionality with a clear Markdown-to-map conversion

Cons

  • Limited to Markdown input and may not handle complex data structures or non-hierarchical content
  • Dependent on the MCP ecosystem, which is still emerging and has fewer mainstream integrations
  • No built-in editing or post-processing beyond the initial conversion and export

Pairs with

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