"World Health Organization" matching MCP servers:

A minimal reference implementation of an MCP server that responds with "Hello, World" via Streamable HTTP. Serves as a baseline for integration testing and MCP client development with production-ready features including health checks, metrics, and containerized deployment.

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.

MCP Server for the Peacock extension for VS Code (https://peacockcode.dev), coloring your world, one Code editor at a time. The main goal of the project is to show how an MCP server can be used to interact with APIs.

Interactive algorithm coach MCP server that provides guided practice, local code execution, and real-world engineering case mapping for 45 algorithm topics.

An extended PostgreSQL management and analysis server that provides database professionals with tools for schema management, query optimization, performance monitoring, and health analysis through a collection of specialized functions.

🗂️ A Model Context Protocol (MCP) server that provides integration with Turso databases for LLMs. This server implements a two-level authentication system to handle both organization-level and database-level operations, making it easy to manage and query Turso databases directly from LLMs.

IMCP - Insecure Model Context Protocol The DVWA for AI Security! Welcome to IMCP – a deliberately vulnerable framework that exposes 16 critical security weaknesses in AI/ML systems. Whether you're a security researcher, developer, or educator, IMCP is your playground for hands-on learning about real

Enables AI clients to control and inspect a Unity Editor through MCP tools for scene and play-mode operations, logs, screenshots, assertions, Lua execution, UI interaction, world observation, and bridge management; advanced UI/Lua/world features require project-specific adapters.

A minimal Model Context Protocol server in TypeScript that demonstrates MCP-compliant resources and tools for LLMs, featuring simple resources and a basic tool that echoes messages or returns greetings.

A zero-config MCP server that provisions and fully administers Windows RDP boxes (Windows 10/11 and Server 2016–2025), exposing 144 tools for shell, files, registry, GUI automation, UAC elevation, health reports, and more, plus guided workflows.

Provides MCP tools for agent health checks, step execution, and failure classification over Streamable HTTP JSON-RPC.

Lets AI assistants work inside a Foundry VTT world as a separate Assistant GM user, enabling live document and scene management, compendium imports, chat inspection, and controlled scripting through Foundry's own permissions and validation.

Empower any MCP-compatible AI Agent(MCP Client) with engineering-grade capabilities to understand, modify, run, and deliver real-world code repositories.

A demonstration server that implements the Model Context Protocol (MCP) SDK, providing tools and endpoints for server-sent events and message handling.

It enables an LLM agent to drive a live World of Warcraft 3.3.5a character through client-equivalent opcodes and packet observations, exposing a confined persistent snippet sandbox plus tools for running snippets, reviewing recent events, summarizing state, and editing a scratchpad.

Enables AI assistants to query an offline, binary-verified GENTAHAX Lua API knowledge base (functions, hooks, structs, packet types, variants, 6832 real item IDs), analyze Lua code for ban risk, and — via a deployable in-game file-IPC bridge — execute scripts and read live world, player, and inventory data from Growtopia.

Enables remote MCP server connections with WorkOS AuthKit authentication and user management. Supports organization-centric authentication and permission-based tool access control.

A production-ready reasoning engine that integrates Claude AI with specialized MCP tools for knowledge retrieval, schema validation, and domain-specific rubric evaluation. It enables structured RAG-based analysis across legal, health, and science domains via a RESTful API.

Bridges Claude Cowork/Desktop to a local Hermes Agent, exposing hermes_delegate, hermes_check_run, and hermes_health tools for task delegation, status polling, and health checks.

Hardened MCP bridge to the full Ollama ecosystem — local and cloud models. 6 tools covering health, model management, chat, and generation with SSRF mitigation, singleton HTTP client, and structured error handling. Two deps, one file.

Enables Claude Code to start and continue Codex tasks through MCP tools, preserving sessions and reporting runtime health. Includes CLI compatibility checks and a pinned runtime fallback for Codex updates.

The Problem Modern distributed systems and AI agents require robust operational scaffolding. Simple CRUD apps or mock loops fail when subjected to real-world edge cases, asynchronous boundaries, and security constraints. The Solution An isolated execution platform for AI agents. An agent is given a broken service and a bounded toolset inside a disposable sandbox. Every command passes throug

An open source Model Context Protocol server for PostgreSQL that provides database health analysis, index tuning, query plan exploration, and safe SQL execution for AI agents throughout the development process.

Bridges Claude Desktop with local LLM instances running via llama-server, enabling full conversation support with complete parameter control and health monitoring. Allows users to chat with their local models directly through Claude Desktop with configurable sampling parameters.

Enables any MCP client to hand self-contained coding tasks to a local DeepSeek Harness instance, which executes them by reading and editing files and running commands within whitelisted directories. Exposes a health check and a blocking task-runner over stdio or authenticated HTTP, returning stdout, stderr, exit code, and duration.

A Model Context Protocol (MCP) server that allows Claude AI to interact with custom tools, enabling extension of Claude's capabilities through the MCP framework.

Enables AI clients to control Blender through its official MCP add-on: running arbitrary bpy code or background CLI jobs, auditing scenes and blend files, searching Blender API and manual docs, capturing screenshots and renders, and searching or importing free Poly Haven models, HDRIs and textures at real-world scale. All 28 tools are served over one stdio connection to a single Blender instance.

Enables AI agents to write and debug World of Warcraft: Infinite addons end-to-end: statically checking Lua, .toc and XML against the client's own API manual, hot-loading changes into the running game, then executing Lua or slash commands and reading back errors with stacks, print output, events, frame info and screenshots. Also records events, inspects frames and keeps versioned history with one-click rollback.

Enables users working inside Claude or ChatGPT to build software end to end, executing every command, test, and health check in an isolated cloud sandbox so progress is blocked unless each step is proven by real output, and finishing with a live public preview URL. It also lets sessions checkpoint and restore risky fixes, with access unlocked by a Stripe Checkout purchase.