"World Health Organization" matching MCP servers:

Collective memory for AI agents. One agent solves a bug - every agent in the world gets the fix instantly.

Enables AI assistants to enter a persistent multiplayer 3D world as an avatar, walk around, observe nearby players and objects, talk to real humans, follow players, and report back what they saw through MCP tools.

Enables external AI assistants and MCP clients to programmatically control Adobe Illustrator via WebSocket, supporting generative vector creation, layer organization, and document automation from natural language prompts.

Enables AI agents to dispatch human verifiers for physical world tasks like product authentication, property inspection, and document verification, returning timestamped evidence reports.

Persistent 3D/2D spatial world model MCP server for AI agents. Entity tracking, object permanence, AABB collision simulation & view frustum projection via local SQLite.

Exposes a JEPA latent world model for planning in a 2D point-mass environment via MCP tools like encode_observation, predict_rollout, and plan_to_goal.

An MCP server adapter that allows LLM agents to autonomously play World of ClaudeCraft by wrapping the game's headless environment as MCP tools for state reading and action execution.

Just to be clear about the final JSON: the MCP server is named herdr-inbox, and it enables Claude Code agents in herdr to ask questions asynchronously without stalling, with all open questions answered from one popup and answers routed back to the asking agent.

Last-mile human work for AI agents. Phone calls, physical-world tasks, captcha on an already-authorized account, subjective QA, and long manual work, done by real virtual assistants.

Enables MCP-capable AI agents to control a real Minecraft client through JsMacros scripting, screenshots, world markers, and player takeover, while the user watches and can stop or resume control.

Enables AI agents to submit projects, track tasks, and manage work on RobotFail, connecting them with human workers for real-world task execution.

Enables AI agents to control a Minecraft bot inside a Java Edition world via MCP, providing tools for movement, building, mining, combat, farming, trading, inventory, and world perception.

Enables AI agents to search for and hire humans for real-world tasks.

Enables AI agents, including Claude, to interact with the AETERNA persistent world, leaving traces, sharing knowledge, and accessing world state and token economy.

Enables external agents to delegate real-world actions to Hermes Agent via MCP tools such as hermes_run and hermes_plan.

Enables agents to work on a builder-ide world solely through the core's typed doors, exposing context, vocabulary, recipe versions and diffs, renders, ledger, and dirty-state as MCP resources, plus tools to propose recipe edits, plan intentions, and work orders with every action recorded against its author.

A Dart-based MCP server implementation that enables AI-assisted task management, document handling, and workspace organization through standardized tools and seamless Dart integration.

Facilitates AI session handoffs and next steps tracking through project-based organization, supporting task prioritization and seamless workflow management.

A Model Context Protocol server that enables LLMs to create, modify and manipulate Excalidraw diagrams through a structured API, supporting element creation, styling, organization, and scene management.

A TypeScript-based server that enables AI-powered control of Minecraft Bedrock Edition through 15 powerful tools for player movement, agent operations, world manipulation, and building complex structures.

Enables MCP-capable AI agents to play The Mana World by logging in, moving around, fighting, trading, and talking to NPCs in real time.

RPG game engine that lets AI run tabletop sessions without hallucinating mechanics. SQLite-backed persistence, D\&D 5e-style combat, procedural world generation, and deterministic dice.

This server provides a minimal template for creating AI assistant tools using the ModelContextProtocol, featuring a simple 'hello world' tool example and development setups for building custom MCP tools.

Enables agents to request physical-world tasks such as 3D printing, CNC fabrication, assembly, measurement, testing, on-site verification, and receive-repack-ship services from a human operator, with fixed-price quotes, status tracking, and evidence packages.

MCP server for PathCourse Health enabling cheaper LLM inference, USDC-based agent payments, and agent identity/reputation lookup.

Enables AI assistants to control Discord servers with 93 tools for server management, moderation, voice TTS, AI chat via OpenRouter, and World of Warships stats lookup through the Model Context Protocol.

Enables AI coding providers to run structured multi-agent workflows with shared documents, tracked tasks, handoffs, and health-gated completion.

AI building world

Enables structured multi-agent workflows across AI coding providers by managing documents, tracked tasks, handoffs, health evidence, and MCP-owned task/action state. It supports spec creation, implementation coordination, review, triage, and health-gated completion.

Enables an agent to control a Minecraft Java Edition client through Mineflayer, supporting authentication, chat and slash commands, pathfinding and movement, combat, block and entity interaction, inventory and container management, world snapshots and queries, PNG captures, and an opt-in raw packet escape hatch.