markmap-mcp-server — MCP Server by jinzcdev

by jinzcdev · MCP Server · ★ 191

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About markmap-mcp-server

Markmap MCP Server Markmap MCP Server is based on the Model Context Protocol (MCP) that allows one-click conversion of Markdown text to interactive mind maps, built on the open source project markmap. The generated mind maps support rich interactive operations and can be exported in various image formats. Features 🌠 Markdown to Mind Map: Convert Markdown text to interactive mind maps 🖼️ Multi-format Export: Support for exporting as PNG, JPG, and SVG images 🔄 Interactive Operations: Support for zooming, expanding/collapsing nodes, and other interactive features 📋 Markdown Copy: One-click copy of the original Markdown content 🌐 Automatic Browser Preview: Option to automatically open generated mind maps in the browser Prerequisites Node.js

aillmmarkmapmcpmcp-servermindmapmindnodexmind

Quick Facts

Stars191
Forks29
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score51.2/100
Open Issues4
Last Updated2026-03-18
Created2025-04-28
Platformsmcp, node
Est. Tokens~13k

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Frequently Asked Questions

What is markmap-mcp-server?

markmap-mcp-server is An MCP server for converting Markdown to interactive mind maps with export support (PNG/JPG/SVG).. It is categorized as a MCP Server with 191 GitHub stars.

What programming language is markmap-mcp-server written in?

markmap-mcp-server is primarily written in TypeScript. It covers topics such as ai, llm, markmap.

How do I install or use markmap-mcp-server?

You can find installation instructions and usage details in the markmap-mcp-server GitHub repository at github.com/jinzcdev/markmap-mcp-server. The project has 191 stars and 29 forks, indicating an active community.

What license does markmap-mcp-server use?

markmap-mcp-server is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to markmap-mcp-server?

The top alternatives to markmap-mcp-server on Agent Skills Hub include agentic-radar, hyper-mcp, flow-like. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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