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MindManager MCP Server

MindManager MCP Server

Local
github.com/robertZaufallProductivity11Updated 39w ago

About MindManager MCP Server

MindManager MCP Server connects MCP-compatible applications to MindManager on Windows and macOS. It retrieves and exports mindmaps and can create maps from Mermaid; the project is deprecated and will receive no further development.

Key features

  1. 01Retrieve mindmap structure and selection
  2. 02Export maps to Mermaid, Markdown, and JSON
  3. 03Create maps from full or simplified Mermaid
  4. 04Inspect MindManager installation and versions

Use cases

  1. 01Export a mindmap for use in an LLM chat
  2. 02Create a MindManager map from Mermaid text
  3. 03Inspect the current map and selected topics

MCP support

The server exposes MCP tools to retrieve mindmaps and selections, serialize maps into Mermaid, Markdown, or JSON, create maps from Mermaid, and inspect versions and installation details.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Warning

Deprecated: This MCP will not be developed further. Please use the Codex/Claude skills from https://github.com/robertZaufall/mindm-skill instead.

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.

Animated examples (using Codex in VSCode on Windows)
  • Example Refining a single topic including tags, icons for the new topics:

get the current Mindmanager mindmap as mermaid (full), refine the given topics at least two levels deep (not just topics), add a tag "Important" to the 3 top most important topics and add corresponding stock icons to every topic but the central topic and create the new MindManager mindmap

MindManager MCP in Codex

  • Example Refining a single topic including generating text in notes for the new topics: MindManager MCP in Codex

  • Example Cloning a map including all supported topic properties: MindManager MCP in Codex

Other examples

Client

get the current MindManager mindmap, translate every topic to German and create a new MindManager mindmap (simple).

get the current MindManager mindmap, refine each topic 2 levels and create a new MindManager mindmap (simple).

Shell:

codex exec "get the current MindManager mindmap, add a meaningful emoji to every topic and create new MindManager mindmap (simple)"

remark: emojis only work on macOS.

Features

  • Retrieve mindmap structure and central topics
  • Export mindmaps to Mermaid, Markdown, JSON formats to be used in LLM chats
  • Create MindManager mindmaps directly from Mermaid (full or simplified syntax)
  • Fetch MindManager and package versions for quick diagnostics
  • Get information about MindManager installation and library folders
  • Get current selection from MindManager

Planned Features

  • Add, modify, and manipulate topics and subtopics without Mermaid roundtrips
  • 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>=0.0.5.3",
        "--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>=0.0.5.3",
          "--with",
          "mindm-mcp>=0.0.2.1",
          "--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.

Codex (VSCode Extension / CLI)
Local python file

config.toml (adjust the path for the local file as needed).

[features]
rmcp_client = true

[mcp_servers.mindmanager]
command = "uv"
args = ["run", "--with", "mindm>=0.0.5.3", "--with", "fastmcp", "--with", "markdown-it-py", "/Users/master/git/mindm-mcp/mindm_mcp/server.py"]

Module from package repository

config.toml

[features]
rmcp_client = true

[mcp_servers.mindmanager]
command = "uv"
args = ["run", "--with", "mindm>=0.0.5.3", "--with", "fastmcp", "--with", "markdown-it-py", "--with", "mindm-mcp>=0.0.2.1", "-m", "mindm_mcp.server"]

VSCode Chat (GitHub Copilot)
Local python file:

Adjust the path for the local file as needed.

uv run --with mindm>=0.0.5.3 --with fastmcp --with markdown-it-py /Users/master/git/mindm-mcp/mindm_mcp/server.py

or server definition in mcp.json:

		"Mindmanager": {
			"type": "stdio",
			"command": "uv",
			"args": [
				"run",
				"--with",
				"mindm>=0.0.5.3",
				"--with",
				"fastmcp",
				"--with",
				"markdown-it-py",
				"/Users/master/git/mindm-mcp/mindm_mcp/server.py"
			]
		}
Module from package repository
uv run --with mindm>=0.0.5.3 --with fastmcp --with markdown-it-py --with mindm-mcp>=0.0.2.1 -m mindm_mcp.server

or server definition in mcp.json:

		"Mindmanager": {
			"type": "stdio",
			"command": "uv",
			"args": [
				"run",
				"--with",
				"mindm>=0.0.5.3",
				"--with",
				"fastmcp",
				"--with",
				"markdown-it-py",
				"--with",
				"mindm-mcp>=0.0.2.1",
				"-m",
				"mindm_mcp.server"
			]
		}

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_mindmanager_version: Gets the installed MindManager version
  • 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
Creation
  • create_mindmap_from_mermaid: Build a MindManager map from Mermaid (full syntax with IDs and metadata)
  • create_mindmap_from_mermaid_simple: Build a MindManager map from simplified Mermaid text
Versioning
  • get_versions: Returns the mindm-mcp and mindm package versions for debugging

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

MCPHub

Certified on MCPHub

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

Comments

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