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MindManager MCP Server

by robertZaufall
GitHub
Python
MIT License
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get_grounding_information

Extracts central topics and selected subtopics from MindManager mind maps for detailed analysis or text-focused tasks, supporting customizable detail levels and turbo mode for efficiency.

Instructions

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.

Input Schema

NameRequiredDescriptionDefault
modeNofull
turbo_modeNo

Input Schema (JSON Schema)

{ "properties": { "mode": { "default": "full", "title": "Mode", "type": "string" }, "turbo_mode": { "default": false, "title": "Turbo Mode", "type": "boolean" } }, "title": "get_grounding_informationArguments", "type": "object" }

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