MCP Client GitHub Repositories (2026) · Open Source Tools

An open-source AI agent that brings the power of Gemini directly into your terminal.

Your AI workspace for models, agents, and productivity.

Open source MCP Servers for AWS

A local AI agent harness in Go that runs 24/7 with auto-built tools, MCP, and Ollama

Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP/A2A Support

🐬DeepChat - A smart assistant that connects powerful AI to your personal world

Source control for agents. Use multiple coding agents, track their changes and query them in one place

MCP server for nemlig.com, BilkaToGo, Rema1000: search products, add to cart and price comparisons. You always accept and pay yourself.

Lightweight Agent Workstation for Codex + Claude code + keke-agent — with dots, task scheduler, git worktree & remote control

The python library for research and development in NLP, multimodal LLMs, Agents, ML, Knowledge Graphs, and more.

Java AI application development framework (supports LLM-tool,skill; RAG; MCP; Agent-ReAct,Team-Agent). Compatible with java8 ~ java26. It can also be embedded in SpringBoot, jFinal, Vert.x, Quarkus, and other frameworks.

lunar.dev: Agent native MCP Gateway for governance and security

Customer-run client for Secure MCP Tunnel: connect private or localhost MCP servers to ChatGPT, Codex, the Responses API, and AgentKit without exposing them to the public internet.

MCP Connector for DeepSeek Harness: a data marketplace connecting enterprise, financial, legal, patent and research data. Manage authorization, search tools and troubleshoot MCP connections. Supports OAuth, API keys and HTTP/stdio.

Eclipse IDE as an MCP Server for AI Agents

Config-driven engine that turns JSON into production-grade AI agents. Multi-agent orchestration, 12+ LLM providers, MCP/A2A protocols, RAG, persistent memory, and enterprise compliance (EU AI Act, GDPR, HIPAA). Built on Quarkus.

Multi-Agent + Automation Harness: Graph-based Workflows, MCP, Self-Improving Agents. NextJs+React

ChatGPT CLI is a powerful, multi-provider command-line interface for working with modern LLMs. It supports OpenAI, Azure, Perplexity, LLaMA, and more, with features like streaming, interactive chat, prompt files, image/audio I/O, MCP tool calls, and an experimental agent mode for safe, multi-step automation.

Open-source control plane for your AI agents. Connect tools, hire agents, track every token and dollar

The official Java SDK for Model Context Protocol servers and clients. Maintained in collaboration with Spring AI