productivity

Markmap

jinzcdev

by jinzcdev

Markmap transforms Markdown into interactive mind maps with zoom, expand/collapse, and exports for visualizing structure

Transforms Markdown documents into interactive mind maps with zooming, node expansion/collapse, and multi-format export capabilities for visualizing hierarchical information.

github stars

183

0 commentsdiscussion

Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Interactive zooming and node manipulationMulti-format export optionsOne-click browser preview

best for

  • / Visualizing document structure and hierarchies
  • / Creating presentation materials from Markdown notes
  • / Organizing and reviewing complex information
  • / Converting documentation into visual formats

capabilities

  • / Convert Markdown text to interactive mind maps
  • / Export mind maps as PNG, JPG, or SVG images
  • / Zoom and navigate through mind map nodes
  • / Expand and collapse mind map sections
  • / Copy original Markdown content
  • / Open mind maps in browser preview

what it does

Converts Markdown documents into interactive mind maps that you can zoom, expand/collapse, and export as images.

about

Markmap is a community-built MCP server published by jinzcdev that provides AI assistants with tools and capabilities via the Model Context Protocol. Markmap transforms Markdown into interactive mind maps with zoom, expand/collapse, and exports for visualizing structure It is categorized under productivity.

how to install

You can install Markmap in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

Markmap is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

Markmap MCP Server

Sample Mindmap

NPM Version GitHub License Smithery Badge 中文文档 Stars

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.

🎉 Explore More Mind Mapping Tools

Try MarkXMind - An online editor that creates complex mind maps using simple XMindMark syntax. It supports real-time preview, multi-format export (.xmind/.svg/.png), importing existing XMind files. Try it now!

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

  1. Node.js (v20 or above)

Installation

Installing via Smithery

To install Markmap MCP Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @jinzcdev/markmap-mcp-server --client claude

Manual Installation

# Install from npm
npm install @jinzcdev/markmap-mcp-server -g

# Basic run
npx -y @jinzcdev/markmap-mcp-server

# Specify output directory
npx -y @jinzcdev/markmap-mcp-server --output /path/to/output/directory

Alternatively, you can clone the repository and run locally:

# Clone the repository
git clone https://github.com/jinzcdev/markmap-mcp-server.git

# Navigate to the project directory
cd markmap-mcp-server

# Build project
npm install && npm run build

# Run the server
node build/index.js

Usage

Add the following configuration to your MCP client configuration file:

{
  "mcpServers": {
    "markmap": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "@jinzcdev/markmap-mcp-server"],
      "env": {
        "MARKMAP_DIR": "/path/to/output/directory"
      }
    }
  }
}

[!TIP]

The service supports the following environment variables:

  • MARKMAP_DIR: Specify the output directory for mind maps (optional, defaults to system temp directory)

Priority Note:

When both the --output command line argument and the MARKMAP_DIR environment variable are specified, the command line argument takes precedence.

Available Tools

markdown-to-mindmap

Convert Markdown text into an interactive mind map.

Parameters:

  • markdown: The Markdown content to convert (required string)
  • open: Whether to automatically open the generated mind map in the browser (optional boolean, default is false)

Return Value:

{
  "content": [
    {
      "type": "text",
      "text": "JSON_DATA_OF_MINDMAP_FILEPATH"
    }
  ]
}

License

This project is licensed under the MIT License.

FAQ

What is the Markmap MCP server?
Markmap is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Markmap?
This profile displays 27 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.8 out of 5—verify behavior in your own environment before production use.

Use Cases

Extended AI Capabilities

Add new capabilities to Claude beyond text generation

Example

Access external data sources, execute code, interact with tools and services

Transform Claude from chatbot to action-taking agent

Context Enhancement

Provide Claude with access to relevant context and data

Example

Load project documentation, access knowledge bases, query databases

Get more accurate, context-aware responses

Workflow Automation

Automate multi-step workflows combining AI and external tools

Example

Research → Summarize → Create document → Send notification

Complete complex tasks end-to-end without manual steps

Implementation Guide

Prerequisites

  • Claude Desktop 0.7.0+ or Cursor IDE with MCP support
  • Basic understanding of MCP architecture and capabilities
  • Access credentials for integrated services (if required)
  • Willingness to experiment and iterate on configuration

Time Estimate

15-60 minutes depending on server complexity

Installation Steps

  1. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 7.Document successful patterns for reuse

Troubleshooting

  • MCP server not loading: Check config syntax, verify installation
  • Connection errors: Check network, firewall, credentials
  • Feature not working: Read server docs, check required parameters
  • Performance issues: Monitor resource usage, check for network latency
  • Conflicts with other servers: Check port assignments, namespace collisions

Best Practices

✓ Do

  • +Read server documentation thoroughly before setup
  • +Start with simple use cases to validate functionality
  • +Test in non-production environment first
  • +Monitor resource usage and performance
  • +Keep servers updated for bug fixes and new features
  • +Document configuration for team members
  • +Use environment variables for sensitive configuration

✗ Don't

  • Don't grant overly permissive access to MCP servers
  • Don't skip reading security considerations in docs
  • Don't expose sensitive data without proper controls
  • Don't run untrusted MCP servers without code review
  • Don't ignore error messages—investigate root cause

💡 Pro Tips

  • Combine multiple MCP servers for powerful workflows
  • Create custom MCP servers for your specific needs
  • Share successful configurations with team
  • Use MCP inspector for debugging
  • Join MCP community for tips and troubleshooting

Technical Details

Architecture

Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.

Protocols

  • Model Context Protocol (MCP)
  • JSON-RPC 2.0
  • stdio or HTTP transport

Compatibility

  • Claude Desktop
  • Cursor IDE
  • Custom MCP clients

When to Use This

✓ Use When

Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.

✗ Avoid When

Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.

Integration

  • Tool composition: Chain multiple MCP tools in workflows
  • Context augmentation: Provide AI with relevant external data
  • Action delegation: Let AI execute tasks on external systems
  • Bidirectional sync: Keep AI context and external systems in sync

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.827 reviews
  • Aanya Bansal· Dec 20, 2024

    Strong directory entry: Markmap surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Dhruvi Jain· Dec 16, 2024

    I recommend Markmap for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Kaira Martinez· Nov 27, 2024

    Markmap reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Aanya Srinivasan· Nov 11, 2024

    I recommend Markmap for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Oshnikdeep· Nov 7, 2024

    Strong directory entry: Markmap surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Ganesh Mohane· Oct 26, 2024

    Markmap has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Xiao White· Oct 18, 2024

    I recommend Markmap for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Aanya Rao· Oct 2, 2024

    Markmap reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Daniel Nasser· Sep 25, 2024

    We evaluated Markmap against two servers with overlapping tools; this profile had the clearer scope statement.

  • Rahul Santra· Sep 5, 2024

    According to our notes, Markmap benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

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