MCP Server for Local XMind Mind Map Files Released

✍️ OpenClawRadar📅 Published: April 19, 2026🔗 Source
MCP Server for Local XMind Mind Map Files Released
Ad

A developer has published an MCP server for interacting with local XMind mind map files. The server exposes 22 tools that allow MCP-compatible AI clients to create, navigate, and edit .xmind files directly on disk.

Key Details

The developer built this MCP server primarily for use via Claude Desktop and has tested it with both Claude Desktop and Cursor with "pretty solid results." The development relied heavily on Claude Sonnet 4.6 and Claude Opus 4.6, accessed through both Claude Desktop and Cursor.

The server provides tools for reading and writing XMind files, enabling AI assistants to work with mind map data stored locally. This allows developers to use AI coding agents to manipulate mind map files programmatically through their preferred AI client interface.

MCP (Model Context Protocol) servers extend the capabilities of AI assistants by providing them with access to external tools and data sources. This particular implementation focuses specifically on the XMind file format, which is commonly used for mind mapping and brainstorming.

📖 Read the full source: r/ClaudeAI

Ad

👀 See Also

DELIGHT: Local Orchestrator Uses Multiple ChatGPT Sessions as Coordinated Agents
Tools

DELIGHT: Local Orchestrator Uses Multiple ChatGPT Sessions as Coordinated Agents

DELIGHT is a local orchestrator that runs multiple hidden ChatGPT browser sessions simultaneously, coordinating them like a team of agents without requiring API keys or GPU resources. It connects to OpenClaw as an action layer to apply changes to real files and run tests.

OpenClawRadar
Jeeves: TUI for Browsing and Resuming AI Agent Sessions
Tools

Jeeves: TUI for Browsing and Resuming AI Agent Sessions

Jeeves is a terminal user interface that lets you search, preview, and resume AI agent sessions from Claude Code, Codex, and OpenCode in a single view. It's written in Go and available via multiple package managers including Homebrew, Nix, and Go install.

OpenClawRadar
Persistent Indexes Over Extraction: Architecture for a YouTube MCP Server
Tools

Persistent Indexes Over Extraction: Architecture for a YouTube MCP Server

A developer shares architecture notes for building a YouTube MCP server that uses persistent local indexes instead of the common extract-and-forget pattern. Key decisions include a three-tier fallback system, SQLite + sqlite-vec for vector storage, embedding provider abstraction, and a separate visual search index.

OpenClawRadar
Developer Tests Apple Intelligence for On-Device Clipboard Tasks
Tools

Developer Tests Apple Intelligence for On-Device Clipboard Tasks

A developer built a clipboard manager using Apple Intelligence's Foundation Models framework, finding it reasonable for everyday tasks like short summaries and rewrites but limited on ambiguous language and detailed work.

OpenClawRadar