MCP cover image
See in Github
2025-04-02

MindManager MCP Server for Automation and Integration on Win + macOS

2

Github Watches

2

Github Forks

1

Github Stars

MindManager MCP Server

A Model Context Protocol (MCP) server implementation for the mindm library, providing a standardized interface to interact with MindManager on Windows and macOS.

PyPI version PyPI version

Overview

This server allows you to programmatically interact with MindManager through the Model Context Protocol (MCP), a standardized way to provide context and tools to LLMs. It leverages the mindm library to manipulate MindManager documents, topics, relationships, and other mindmap elements.

Example:

MindManager MCP in Claude

Features

  • Retrieve mindmap structure and central topics
  • Export mindmaps to Mermaid, Markdown, JSON formats to be used in LLM chats
  • Get information about MindManager installation and library folders
  • Get current selection from MindManager

Planned Features

  • Create new mindmaps from serialized data
  • Add, modify, and manipulate topics and subtopics
  • Add relationships between topics
  • Add tags to topics
  • Set document background images

Requirements

  • Python 3.12 or higher
  • mcp package (Model Context Protocol SDK)
  • mindm library (included in this project)
  • MindManager (supported versions: 23-) installed on Windows or macOS

Installation macOS

# Clone the repository (if you're using it from a repository)
git clone https://github.com/robertZaufall/mindm-mcp.git
cd mindm-mcp

# create a virtual environment for Python
brew install uv # if needed
uv pip install -r pyproject.toml

# alternative: manual installation of modules
uv add "mcp[cli]"
uv add fastmcp
uv add markdown-it-py
uv add -U --index-url=https://test.pypi.org/simple/ --extra-index-url=https://pypi.org/simple/ mindm mindm-mcp

Installation Windows

# Change to DOS command prompt
cmd

# Clone the repository (if you're using it from a repository)
git clone https://github.com/robertZaufall/mindm-mcp.git
cd mindm-mcp

# create a virtual environment for Python
pip install uv # if needed
uv pip install -r pyproject.toml

# install nodejs
choco install nodejs # if you have chocolatey installed. If not install nodejs otherwise
refreshenv
node -v
npm install -g npx

Usage

MCP inspector

# run mcp with inspector
uv run --with mind --with fastmcp --with markdown-it-py mcp dev mindm_mcp/server.py

Claude Desktop

Local python file

Adjust the path for the local file as needed.

{
  "mcpServers": {
    "mindm (MindManager)": {
      "command": "uv",
      "args": [
        "run",
        "--with",
        "mindm>=0.0.4.6",
        "--with",
        "fastmcp",
        "--with",
        "markdown-it-py",
        "/Users/master/git/mindm-mcp/mindm_mcp/server.py"
      ]
    }
  }
}

Module from package repository

Adjust VIRTUAL_ENV as needed.

{
    "mcpServers": {
      "mindm (MindManager)": {
        "command": "uv",
        "args": [
          "run",
          "--with",
          "mindm>=0.0.4.6",
          "--with",
          "mindm-mcp>=0.0.1.50",
          "--with",
          "fastmcp",
          "--with",
          "markdown-it-py",
          "-m",
          "mindm_mcp.server"
        ],
        "env": {
            "VIRTUAL_ENV": "/Users/master/git/mindm-mcp/.venv"
        }
      }
    }
}

Hint: If the MCP server does not show up with the hammer icon on Windows, close Claude Desktop and kill all background processes.

MCP Tools

The server exposes the following tools through the Model Context Protocol:

Document Interaction

  • get_mindmap: Retrieves the current mindmap structure from MindManager
  • get_selection: Retrieves the currently selected topics in MindManager
  • get_library_folder: Gets the path to the MindManager library folder
  • get_grounding_information: Extracts grounding information (central topic, selected subtopics) from the mindmap

Serialization

  • serialize_current_mindmap_to_mermaid: Serializes the currently loaded mindmap to Mermaid format
  • serialize_current_mindmap_to_markdown: Serializes the currently loaded mindmap to Markdown format
  • serialize_current_mindmap_to_json: Serializes the currently loaded mindmap to a detailed JSON object with ID mapping

Platform Support

  • Windows: Full support for topics, notes, icons, images, tags, links, relationships, and RTF formatting
  • macOS: Support for topics, notes, and relationships (limited support compared to Windows)

Integration with Claude and other LLMs

This MCP server can be installed in Claude Desktop or other MCP-compatible applications, allowing LLMs to:

  1. Access mindmap content
  2. Manipulate mindmaps (coming)
  3. Create new mindmaps based on LLM-generated content (coming)

Troubleshooting

  • Ensure MindManager is running before starting the server
  • For macOS, make sure you allow Claude Desktop to automate MindManager

Acknowledgements

This project is built upon the mindm library, providing Python interfaces to MindManager on Windows and macOS platforms. It uses the Model Context Protocol (MCP) SDK developed by Anthropic.

License

MIT License - See LICENSE file for details

相关推荐

  • NiKole Maxwell
  • I craft unique cereal names, stories, and ridiculously cute Cereal Baby images.

  • https://suefel.com
  • Latest advice and best practices for custom GPT development.

  • Yusuf Emre Yeşilyurt
  • I find academic articles and books for research and literature reviews.

  • https://maiplestudio.com
  • Find Exhibitors, Speakers and more

  • Carlos Ferrin
  • Encuentra películas y series en plataformas de streaming.

  • Joshua Armstrong
  • Confidential guide on numerology and astrology, based of GG33 Public information

  • Contraband Interactive
  • Emulating Dr. Jordan B. Peterson's style in providing life advice and insights.

  • rustassistant.com
  • Your go-to expert in the Rust ecosystem, specializing in precise code interpretation, up-to-date crate version checking, and in-depth source code analysis. I offer accurate, context-aware insights for all your Rust programming questions.

  • Elijah Ng Shi Yi
  • Advanced software engineer GPT that excels through nailing the basics.

  • Emmet Halm
  • Converts Figma frames into front-end code for various mobile frameworks.

  • lumpenspace
  • Take an adjectivised noun, and create images making it progressively more adjective!

  • apappascs
  • Discover the most comprehensive and up-to-date collection of MCP servers in the market. This repository serves as a centralized hub, offering an extensive catalog of open-source and proprietary MCP servers, complete with features, documentation links, and contributors.

  • modelcontextprotocol
  • Model Context Protocol Servers

  • Mintplex-Labs
  • The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, MCP compatibility, and more.

  • ShrimpingIt
  • Micropython I2C-based manipulation of the MCP series GPIO expander, derived from Adafruit_MCP230xx

  • n8n-io
  • Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.

  • open-webui
  • User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

  • WangRongsheng
  • 🧑‍🚀 全世界最好的LLM资料总结(Agent框架、辅助编程、数据处理、模型训练、模型推理、o1 模型、MCP、小语言模型、视觉语言模型) | Summary of the world's best LLM resources.

    Reviews

    3 (1)
    Avatar
    user_mOgHgg9U
    2025-04-16

    I've been using the MCP Server by gnarzadigital and it's been an incredible experience. The reliability and performance of this server are unmatched. It has significantly improved our workflow efficiency. Highly recommend checking it out! For more details, visit the product page: https://mcp.so/server/mcp-server/gnarzadigital.