Metadata-Version: 2.4
Name: iflow-mcp_mindm_mcp
Version: 0.0.2.3
Summary: Model Context Protocol (MCP) server for the mindm library, enabling AI assistants like Claude to interact with MindManager.
Author: Robert Zaufall
Project-URL: Homepage, https://github.com/robertZaufall/mindm-mcp
Project-URL: Bug Tracker, https://github.com/robertZaufall/mindm-mcp/issues
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: MacOS :: MacOS X
Requires-Python: >=3.12
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: mindm>=0.0.5.3
Requires-Dist: uvicorn>=0.22.0
Requires-Dist: aiohttp>=3.8.4
Requires-Dist: pydantic>=1.10.7
Requires-Dist: websockets>=10.4
Requires-Dist: fastmcp>=0.4.1
Requires-Dist: mcp[cli]>=1.6.0
Requires-Dist: build>=1.2.2.post1
Dynamic: license-file

# 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](https://img.shields.io/pypi/v/mindm-mcp.svg?label=pypi%20(mindm-mcp)&style=for-the-badge&color=blue)](https://pypi.org/project/mindm-mcp/)
[![PyPI version](https://img.shields.io/pypi/v/mindm.svg?label=pypi%20(mindm)&style=for-the-badge&color=lightblue)](https://pypi.org/project/mindm/)

## 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](assets/refine_map_anim2.gif) 
 
- Example
Refining a single topic including generating text in notes for the new topics: 
![MindManager MCP in Codex](assets/refine_map_anim.gif) 

- Example
Cloning a map including all supported topic properties:
![MindManager MCP in Codex](assets/clone_map_anim.gif) 
 
## 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

```bash
# 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

```bash
# 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

```bash
# 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.
```json
{
  "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.
```json
{
    "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](https://mcphub.com/mcp-servers/robertZaufall/mindm-mcp)

## 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
