MCP Servers
63,071 MCP servers for AI apps. Filter by category, badge and popularity.
AI & Agents
Next-generation enterprise-class AI application platform based on AI new paradigm. Gaia-X aims to achieve AI enablement with human brain-like characteristics for enterprise office business scenarios, including a series of novel and stable enterprise-class AI features, including but not limited to: enterprise management functions, MCP server support (with support for converting enterprise internal system APIs into MCP services), natural language-driven RPA (LLM operating computers), word selection analysis, and floating ball features, etc.
A TypeScript example showcasing the integration of Ollama with the Model Context Protocol (MCP), specifically the Filesystem MCP Server. This project provides an interactive command-line interface for an AI agent that can utilize filesystem tools.
This repository demonstrates how to use AutoGen to integrate local and remote MCP (Model Context Protocol) servers. It showcases a local math tool (math_server.py) using Stdio and a remote Apify tool (RAG Web Browser Actor) via SSE for tasks like arithmetic and web browsing
This project demonstrates a decoupled real-time agent architecture that connects LangGraph agents to remote tools served by custom MCP servers. The architecture enables a flexible and scalable multi-agent system where each tool can be hosted independent
This project demonstrates a decoupled real-time agent architecture that connects LangGraph agents to remote tools served by custom MCP servers. The architecture enables a flexible and scalable multi-agent system where each tool can be hosted independent
Unified MCP Tool Graph: A Intelligence Layer for Dynamic Tool Retrieval. Instead of dumping 1000+ tools into a model's prompt and expecting it to choose wisely, the Unified MCP Tool Graph equips your LLM with structure, clarity, and relevance. It fixes tool confusion, prevents infinite loops, and enables modular, intelligent agent workflows
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.
