Python library for interacting with local installed MindManager(tm) on Windows and MacOS platform.
Mindm MCP server exists for a simple reason — assistants are far more useful when they can act on Mindm directly instead of describing what you should do. Python library for interacting with local installed MindManager(tm) on Windows and MacOS platform.
Once Mindm is connected, these are the calls the assistant has available:
High — level document model, serialization helpers, and exporters in mindmap/Platform — SupportedWindows — topics, subtopics, notes, icons, images, tags, external/topic links, relationships, RTFmacOS — topics, subtopics, notes, relationshipsPyPI — The PyPI tool exposed by this servermindm on PyPI is all you need. Most clients run it directly, so configuration is a few lines and a restart.
Plenty of knowledge and memory servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Mindm's toolset — High, Platform, Windows and 2 more — is a fair guide to whether it matches your workflow. It is maintained by Robert Zaufall; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| High | level document model, serialization helpers, and exporters in mindmap/ |
| Platform | Supported |
| Windows | topics, subtopics, notes, icons, images, tags, external/topic links, relationships, RTF |
| macOS | topics, subtopics, notes, relationships |
| PyPI | The PyPI tool exposed by this server. |
{
"mcpServers": {
"mindm": {
"command": "uvx",
"args": ["mindm"]
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
A knowledge graph your assistant keeps between sessions — entities, relations and observations that persist.
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Your workspace, on speaking terms with AI — search, read and write Notion pages and databases.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Symbol-level code navigation, refactoring and memory for coding agents — the IDE brain your assistant has been missing.
Chat with your second brain — search, read and write vault notes through the Local REST API.