"Organic Maps" matching MCP servers:

Enables AI agents to set up and use a private local Minecraft test server, build and validate maps block by block, and export creations as schematics for any server.

Extracts embedded PBR texture images from local GLB 2.0 files, splitting packed metallic-roughness maps into grayscale roughness and metallic PNGs while preserving base color and normal images.

Enables conversion of multiple file formats (Markdown, HTML, Word, Excel, etc.) to XMind mind maps with AI-powered analysis for structure optimization and quality assessment.

Provides controlled, read-only or write-enabled access to a private local Yaps Markdown vault, enabling AI clients to search, read, and manage notes securely.

A collection of small MCP servers for macOS automation that expose Apple Mail, MoneyMoney, and Spotlight functionality as tools via AppleScript and command-line, enabling AI applications to search mail, manage contacts and transactions, and perform system-wide file searches through natural language.

Converts Yuque Lakeboard (.lakeboard) and XMind (.xmind) mind maps into Markdown. CLI, web tool, and MCP server.

Enables LLMs to read and edit XMind mind maps, including OCR for images embedded in nodes.

Which paths can your AI coding agent erase with no way back? One read-only command maps them as flood zones, ranked by bytes, with the cheapest fix. CLI + GitHub Action + MCP.

A Model Context Protocol server that allows intelligent analysis and querying of XMind mind maps, providing capabilities for searching, extracting, and analyzing content across XMind files.

Enables Claude to read, search, and create TabTree mind maps and boards from local backup folders, and propose changes as new files without modifying existing maps.

Enables management of Google Maps saved places through a SQLite database. Allows users to store, query, and organize their Google Maps places data locally.

A collection of Model Context Protocol servers that enable Claude Desktop to provide development assistance capabilities with filesystem, Git, shell command, and web search functionality without incurring API usage costs.

Enables AI agents to interact with the Linux desktop through desktop notifications, interactive dialogs, shell command execution, and privileged command execution.

Turns iPhone LiDAR scans, depth maps, room scans and reference-card photos into real-world measurements with uncertainty ranges, letting an AI client size cookware and scale recipes, check room and doorway fit, classify Amazon FBA size tiers and fees, and estimate moving or storage volume. It reports a ± and confidence level with every figure and states plainly when it is guessing.

Maintains a self-updating JSON index of repository files, functions, and descriptions so agents can query relevant files instead of grepping the tree.

enables creation of Enfusion/Arma Reforger PBR materials — generates maps, packs Enfusion channels (BCR/NMO), writes .emat files, and stages them atomatically into addons via MCP or CLI.

MCP server that exposes the Bookshelf (Readarr fork) v1 REST API as tools, allowing an LLM to read and manage authors, books, book files, editions, series, download queue, history, indexers, import lists, custom formats, tags, commands, and system status, with full read/write access and destructive tools flagged.

Enables AI assistants to read a player's local save file and answer questions about inventory, technology, location, fleet, discoveries, scanned shops, and nanite planning without writing to the save or sending data off-device.

Combines KC Chat Panel session interaction with AgentDock computer control tools, enabling Cursor Cloud Agent to chat and operate the local machine via AgentDock.

A comprehensive utility MCP server that enables AI assistants to execute system commands, manage files, integrate with Google Sheets and Tasks, perform AI-powered text processing, and load dynamic prompts from markdown files.

A local, read-only MCP server that analyzes Python backend projects by providing tools to scan, map, and selectively read files, reducing token usage for AI clients.