Skip to main content
Glama
robertZaufall

MindManager MCP Server

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
VIRTUAL_ENVNoThe path to the virtual environment

Capabilities

Server capabilities have not been inspected yet.

Tools

Functions exposed to the LLM to take actions

NameDescription
get_mindmap
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.
get_selection
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.
get_library_folder
Gets the path to the MindManager library folder. Returns: Union[str, Dict[str, str]]: The library folder path or error dictionary.
get_mindmanager_version
Gets the version of the MindManager application. Returns: Union[str, Dict[str, str]]: The version of the MindManager application or error dictionary.
get_grounding_information
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.
serialize_current_mindmap_to_mermaid
Serializes the currently loaded mindmap to Mermaid format. Args: id_only (bool): If True, only include IDs without detailed attributes. Defaults to False. mode (str): Detail level ('full', 'content', 'text'). Defaults to 'full'. turbo_mode (bool): Enable turbo mode (text only). Defaults to False. Returns: Union[str, Dict[str, str]]: Mermaid formatted string or error dictionary.
serialize_current_mindmap_to_markdown
Serializes the currently loaded mindmap to Markdown format. Args: include_notes (bool): If True, include notes in the serialization. Defaults to True. mode (str): Detail level ('full', 'content', 'text'). Defaults to 'content'. turbo_mode (bool): Enable turbo mode (text only). Defaults to False. Returns: Union[str, Dict[str, str]]: Markdown formatted string or error dictionary.
serialize_current_mindmap_to_json
Serializes the currently loaded mindmap to a detailed JSON object with ID mapping. Args: ignore_rtf (bool): Whether to ignore RTF content. Defaults to True. mode (str): Detail level ('full', 'content', 'text'). Defaults to 'full'. turbo_mode (bool): Enable turbo mode (text only). Defaults to False. Returns: Union[Dict[str, Any], Dict[str, str]]: JSON serializable dictionary or error dictionary.
create_mindmap_from_mermaid
Deserializes a Mermaid mindmap and creates a MindManager mindmap from it (caller must follow the guidance). Args: mermaid (str): Mermaid text describing the desired mindmap with supported topic metadata, e.g. `[Topic] %% {"id": n, "notes": {"text": "Notes"}, "links": [{"text": "label", "url": "https://example.com"}], "references": [{"id_1": i, "id_2": j, "direction": 1}], "image": {"text": "C:\path\to\image.png"}, "icons": [{"text": "StockIcon-36", "is_stock_icon": true, "index": 36}], "tags": ["tag1"]}` Guidance for callers constructing `mermaid`: - Every line must be syntactically correct Mermaid code and contain at least a topic label, e.g. `[Topic]`. - For the root topic just use the label, e.g. `[Central Topic]` - Full syntax supports attaching metadata via JSON after `%%` on the same line, e.g. `[Topic] %% {"id": n, "notes": {"text": "Notes"}, "links": [{"text": "label", "url": "https://example.com"}], "references": [{"id_1": i, "id_2": j, "direction": 1}], "image": {"text": "C:\path\to\image.png"}, "icons": [{"text": "StockIcon-36", "is_stock_icon": true, "index": m}], "tags": ["tag1"]}` - For icons, use `icons`: `[{"text": "StockIcon-<index>", "is_stock_icon": true, "index": <index>}]` where available options for stock icons are: Arrow Down(66), Arrow Left(65), Arrow Right(37), Arrow Up(36), Bomb(51), Book(67), Broken Connection(69), Calendar(8), Camera(41), Cellphone(40), Check(62), Clock(7), Coffee Cup(59), Dollar(15), Email(10), Emergency(49), Euro(16), Exclamation Mark(44), Fax(42), Flag Black(20), Flag Blue(18), Flag Green(19), Flag Orange(21), Flag Purple(23), Flag Red(17), Flag Yellow(22), Folder(71), Glasses(53), Hourglass(48), House(13), Information(70), Judge Hammer(54), Key(52), Letter(9), Lightbulb(58), Magnifying Glass(68), Mailbox(11), Marker 1(25), Marker 2(26), Marker 3(27), Marker 4(28), Marker 5(29), Marker 6(30), Marker 7(31), Meeting(61), Megaphone(12), No Entry(50), Note(63), On Hold(47), Padlock Locked(34), Padlock Unlocked(35), Phone(39), Question Mark(45), Redo(57), Resource 1(32), Resource 2(33), Rocket(55), Rolodex(14), Scales(56), Smiley Angry(5), Smiley Happy(2), Smiley Neutral(3), Smiley Sad(4), Smiley Screaming(6), Stop(43), Thumbs Down(64), Thumbs Up(46), Traffic Lights Red(24), Two End Arrow(38), Two Feet(60). Returns: Dict[str, str]: Status dictionary indicating success or error details.
create_mindmap_from_mermaid_simple
Deserializes a Mermaid mindmap in simplified syntax and creates a MindManager mindmap from it. Args: mermaid (str): Mermaid text describing the desired mindmap. turbo_mode (bool): Enable turbo mode (text-only operations). Defaults to True. Returns: Dict[str, str]: Status dictionary indicating success or error details.
get_versions
Get the versions of the MindManager Automation MCP Server components. Returns: Dict[str, str]: A dictionary containing the versions of the components.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/robertZaufall/mindm-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server