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by robertZaufall • Visualization & Charts
An MCP server that exposes MindManager documents and tools to LLMs and agents, enabling programmatic access and serialization of mindmaps on Windows and macOS.
Extract and serialize MindManager mindmaps into Mermaid, Markdown, or JSON to use as contextual input for LLM reasoning or documentation generation.
Obtain the current selection or grounding information (central topic and selected subtopics) from a live MindManager session to produce context-aware suggestions or edits.
Integrate desktop LLM clients (e.g., Claude Desktop) with MindManager to surface and manipulate mindmap content programmatically.
This project implements a Model Context Protocol (MCP) server using the mindm library to interact with MindManager on Windows and macOS. It exposes tools to retrieve mindmap structure, current selections, library folders, and grounding information, and can serialize mindmaps to Mermaid, Markdown, and detailed JSON. The server is designed for integration with MCP-compatible clients (e.g., Claude Desktop) to provide LLMs with contextual mindmap data and tooling. Additional manipulation and creation features are listed as planned.
Retrieves the current mind map structure from MindManager. Args: mode (str): Detail level ('full', 'content', 'text'). Defaults to 'full'. turbo_mode (bool): Enable turbo mode (text only). Defaults to False. Returns: Dict[str, Any]: Serialized mind map structure or error dictionary.
Retrieves the currently selected topics in MindManager. Args: mode (str): Detail level ('full', 'content', 'text'). Defaults to 'full'. turbo_mode (bool): Enable turbo mode (text only). Defaults to False. Returns: Union[List[Dict[str, Any]], Dict[str, str]]: List of serialized selected topics or error dictionary.
Gets the path to the MindManager library folder. Returns: Union[str, Dict[str, str]]: The library folder path or error dictionary.
Gets the version of the MindManager application. Returns: Union[str, Dict[str, str]]: The version of the MindManager application or error dictionary.
Extracts grounding information (central topic, selected subtopics) from the mindmap. Args: mode (str): Detail level ('full', 'content', 'text'). Defaults to 'full'. turbo_mode (bool): Enable turbo mode (text only). Defaults to False. Returns: Union[List[str], Dict[str, str]]: A list containing [top_most_topic, subtopics_string] or error dictionary.
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