Popular GitHub Repositories for Model Context Protocol

The most reliable AI agent framework that supports MCP.

5ire is a cross-platform desktop AI assistant, MCP client. It compatible with major service providers, supports local knowledge base and tools via model context protocol servers .

On-premises conversational RAG with configurable containers

A powerful Neovim plugin for managing MCP (Model Context Protocol) servers

Govern, Secure, and Optimize your AI Traffic. AI Gateway provides unified interface to all LLMs using OpenAI API format with a focus on performance and reliability. Built in Rust.

A simple CLI to run LLM prompt and implement MCP client.

Enable any LLM (e.g. Claude) to interactively debug any language for you via MCP and a VS Code Extension

Model Context Protocol server for DeepSeek's advanced language models

simple web ui to manage mcp (model context protocol) servers in the claude app

A type-safe solution to remote MCP communication, enabling effortless integration for centralized management of Model Context.

Adapters for integrating Model Context Protocol (MCP) tools with LangChain.js applications, supporting both stdio and SSE transports.

A desktop application that adds powerful tools to Claude and AI platforms

? All-in-one MCP server with AI search, RAG, and multi-service integrations (GitLab/Jira/Confluence/YouTube) for AI-enhanced development workflows

Single-File AI Chatbot UI with Multimodal & MCP Support: An All-in-One HTML File for a Streamlined Chatbot Conversational Interface

Model Context Protocol (MCP) server designed for LLMs to interact with Obsidian vaults. Provides secure, token-aware tools for seamless knowledge base management through a standardized interface.

Model Context Protocol (MCP) Server for Langfuse Prompt Management. This server allows you to access and manage your Langfuse prompts through the Model Context Protocol.

? High-performance persistent memory system for Model Context Protocol (MCP) powered by libSQL. Features vector search, semantic knowledge storage, and efficient relationship management - perfect for AI agents and knowledge graph applications.

Build tools for LLMs in Rust using Model Context Protocol

Anthropic’s Model Context Protocol implementation for Oat++

Model Context Protocol server that integrates AgentQL's data extraction capabilities.