XMind MCP Server

The MCP XMind Server transforms raw mind‑map files into a structured, searchable data source that AI assistants can interrogate with natural language. By exposing the full hierarchy of XMind documents—nodes, titles, notes, links, tags, and embedded tasks—the server turns static visual diagrams into interactive knowledge graphs. This enables Claude or other AI agents to ask questions like “What are the remaining TODOs in my product roadmap?” or “Show me all nodes that reference the API design,” and receive precise, context‑rich answers without manually parsing files.

At its core, the server offers a suite of tools that cover the entire lifecycle of mind‑map interaction. read_xmind parses a single file and returns its complete structure, while read_multiple_xmind_files allows batch processing for comparative analysis across projects. The search_nodes and extract_node utilities provide fuzzy matching and hierarchical navigation, letting users pinpoint topics even when they only remember a fragment of the title. Task‑centric tools such as get_todo_tasks surface actionable items along with their parent context, supporting agile workflows. Directory‑level tools like list_xmind_directory and search_xmind_files enable dynamic discovery of mind‑maps across a project’s file tree, ensuring that the AI always works with the latest data.

Developers can weave these capabilities into their AI pipelines by configuring a simple JSON entry that launches the server with one or more trusted directories. Once running, the AI client can invoke any of the exposed tools through standard MCP calls, receiving JSON payloads that describe node trees, task lists, or search results. Because the server validates paths and restricts access to specified directories, it fits naturally into secure environments where sensitive project artifacts must remain protected.

Real‑world scenarios that benefit from MCP XMind include product management dashboards that automatically pull backlog items from mind maps, design reviews where architects query concept diagrams for dependencies, and knowledge‑base generation that extracts key insights from brainstorming sessions. The server’s ability to handle multiple files and compare them side‑by‑side also makes it ideal for retrospectives or cross‑project synthesis. Overall, MCP XMind Server turns a popular visual collaboration tool into an AI‑friendly data layer, giving developers and teams a powerful, low‑friction bridge between human creativity and machine intelligence.