MCP Servers
63,071 MCP servers for AI apps. Filter by category, badge and popularity.
AI & Agents
Advanced AI code assistant that intelligently searches and discovers connections across GitHub repositories and NPM packages. Features zero-config authentication, smart fallbacks, and LLM-optimized content delivery. Ask natural language questions to understand code architectures
AgentChat is an LLM-based agent communication platform with built-in default agents and support for custom agents. Through multi-turn conversations and task collaboration, agents can understand and assist in completing complex tasks. The project integrates LangChain, function calls, MCP protocol, RAG, memory, HITL, skills, Milvus, and ElasticSearch, enabling efficient knowledge retrieval and tool invocation, with a high-performance backend built with FastAPI.
Harness the power of local LLMs with this TUI MCP Client for Ollama. Featuring all core MCP primitives (tools, prompts, resources), agent mode, multi-server, model switching, streaming responses, human-in-the-loop, thinking mode, model params config, system prompts, and saved pre
The @runno/mcp server provides a run_code tool that AI assistants can use to execute code snippets in various programming languages. It leverages the @runno/sandbox package, which uses WebAssembly to create isolated environments for code execution. The result of the code executio
Unreal Engine plugin for LLM/GenAI models & MCP UE5 server. OpenAI GPT-5, Deepseek R1, Claude Opus/Sonnet, Gemini 3, Grok 4, Alibaba Qwen, Kimi, ElevenLabs TTS, Inworld, OpenRouter, Groq, GLM, Ollama, Local, Meshy, Tripo, Hunyuan3D, Rodin, fal, Dashscope, Seedream. NPC AI, agenti
Vibe Check is a tool that provides mentor-like feedback to AI Agents, preventing tunnel-vision, over-engineering and reasoning lock-in for complex and long-horizon agent workflows. Kiss your over-eager AI Agents goodbye! Effective for: Coding, Ambiguous Tasks, High-Risk tasks
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.
