MCP Servers

This repository provides a curated list of Model Context Protocol (MCP) servers, offering reference implementations for various services like file systems, Git repositories, databases, Slack, Sentry, and more.

This repository provides a server implementing the Model Context Protocol (MCP) with cloud browser automation capabilities using Browserbase, Puppeteer, and Stagehand, enabling LLMs to interact with web pages and external data.

The Exa MCP server enables AI assistants like Claude to perform web searches using the Exa AI Search API, providing structured results and real-time web crawling in a safe, controlled environment.

This repository provides a TypeScript bridge connecting local LLMs via Ollama to Model Context Protocol servers, enabling open-source models to utilize tools like filesystem operations, web search, and more.

This repository enables building LLM tools and agents using Bash, JavaScript, and Python, leveraging function calling to connect LLMs to custom code for tasks like system commands and API interactions.

The Heurist Agent Framework is a modular AI agent platform enabling interaction across multiple platforms like Telegram, Discord, and REST API, with features including image generation, voice processing, and access

Hyper-mcp is a fast, secure MCP server that enhances applications with AI capabilities through WebAssembly plugins. It allows developers to write plugins in any language and distribute them via OCI registries.

This repository provides an example of a Model Context Protocol (MCP) server for Qdrant, a vector search engine, enabling seamless integration between LLM applications and the Qdrant database as a

This repository provides a Swift SDK for implementing the Model Context Protocol (MCP), enabling developers to build clients and servers that can interact with models and tools. It supports macOS

This repository provides server and client examples from Model Context Protocol tutorials, including a simple weather server and an LLM-powered chatbot client, demonstrating MCP implementation. This repository provides server and

This repository uses yt-dlp to download YouTube subtitles and connects them to claude.ai via the Model Context Protocol, allowing Claude to summarize YouTube videos when prompted with the video URL.

MCPAdapt unlocks access to 650+ Model Context Protocol (MCP) servers for agentic frameworks, enabling seamless integration of diverse data and tools into workflows. It supports frameworks like Langchain, CrewAI, and Smolagents.

Wren Engine is a semantic engine designed for MCP clients and AI agents, enabling accurate data understanding and retrieval within complex enterprise environments, including trusted calculations and reporting.

The Tavily MCP server enables AI systems to interact with data sources and tools using the Model Context Protocol, providing real-time web search and data extraction capabilities through Tavily's search

This repository provides a bridge connecting Model Context Protocol (MCP) servers to OpenAI-compatible LLMs, enabling the use of MCP-compliant tools with models like GPT-4o through a standardized interface.