Skip to main content

Model Context Protocol (MCP) server for the mindm library, enabling AI assistants like Claude to interact with MindManager.

Project description

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mindm_mcp-0.0.1.63.tar.gz (7.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mindm_mcp-0.0.1.63-py3-none-any.whl (7.7 kB view details)

Uploaded Python 3

File details

Details for the file mindm_mcp-0.0.1.63.tar.gz.

File metadata

  • Download URL: mindm_mcp-0.0.1.63.tar.gz
  • Upload date:
  • Size: 7.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for mindm_mcp-0.0.1.63.tar.gz
Algorithm Hash digest
SHA256 b8ebba4f028c1d7855140c30deea177227ea37c2c5e6e6364e358b1218bdc391
MD5 1a0f1b7fdad5aec0a2620aff556de008
BLAKE2b-256 fce0cfe78c8e9257aa740bb328ea8f780f949b94845bdd18d08036dc4f89c71d

See more details on using hashes here.

File details

Details for the file mindm_mcp-0.0.1.63-py3-none-any.whl.

File metadata

  • Download URL: mindm_mcp-0.0.1.63-py3-none-any.whl
  • Upload date:
  • Size: 7.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for mindm_mcp-0.0.1.63-py3-none-any.whl
Algorithm Hash digest
SHA256 7017dbbac4a64c4269741038782e230e770fb113967b3ae1b2dfc99e4b88a170
MD5 cee2938c0ea6b0ce36c14734a4bca551
BLAKE2b-256 82367bb46c8975b6d8268ed4cfa543be79186231888fd4490245c1bcae0dd5bb

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page