#langchain

🚀 mcp-use is a TypeScript library that makes it easy to connect LangChain.js-compatible LLMs with MCP servers. Build powerful, flexible AI agents with dynamic tool access and multi-server support.

Unlock 650+ MCP servers tools in your favorite agentic framework.

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

MCP (Minimal Command Protocol) server that allows users to search for documentation from popular libraries such as LangChain, LlamaIndex, and OpenAI using the Serper API. The server fetches search results and extracts the relevant documentation from the web using HTTP requests and BeautifulSoup.

Example of using MCP servers, both over sdio + sse. Also using langchain-mcp

Desktop application for managing Model Context Protocol servers (MCP). Provides a centralized interface to configure and manage MCP servers for use with LLMs and AI assistants such as Claude.

Simple MCP Server w/ Shell Exec. Connect to Local via Ngrok, or Host Ubuntu24 Container via Docker

LangChain Agent with MCP Servers: Using LangChain MCP Adapters for tool integration.

Learning how to build mcp-servers to connect in llms via langchain

Transforms MCP tools into collaborative, reasoning agents using modern agent frameworks.

LangGraph agent tutorial adapted to use MCP servers.

A production-ready MCP server that exposes LangChain agent capabilities through the Model Context Protocol. Provides multi-step reasoning with ReAct pattern, tool support (web search, weather lookup), and is deployed on Google Cloud Run for scalable, serverless operation.

Quick Start MCP with Langchain

Simple Multi-Server MCP Client with LangChain

🦜🔗 LangChain Model Context Protocol (MCP) Client

Package intended to simplify the use of MCP server tools within LangChain

AgentChat 是一个与Agent交流的平台，包含默认Agent，并支持自定义Agent，可以实现多轮问答使Agent帮助用户想实现的功能。该项目技术栈包括LLM、LangChain、Function call、ReAct、MCP、Milvus、ElasticSearch、RAG、FastAPI

Addapter that turns MCP server tools into langchain usable tools

Developed an MCP-based AI infrastructure enabling real-time tool execution, structured knowledge retrieval, and dynamic agentic interactions for AI clients like Claude and Cursor.

A practical demonstration of integrating LangChain with Model Control Protocol (MCP) featuring both single and multi-server implementations. Includes examples of mathematical computations and weather queries using async operations, React agents, and OpenAI integration. Perfect for developers looking to understand MCP-LangChain integration patterns.

Demo of implementation of MCP using Langchain MCP Adapters and Ollama

Tool-based LLM integration with Zenodo via the Model Context Protocol (MCP)

This project demonstrates a decoupled real-time agent architecture that connects LangGraph agents to remote tools served by custom MCP (Modular Command Protocol) servers. The architecture enables a flexible and scalable multi-agent system where each tool can be hosted independently (via SSE or STDIO), offering modularity and cloud-deployable execut

Servidor MCP para ciberseguridad en Windows. Expone herramientas defensivas como APIs HTTP listas para ser usadas por agentes IA, Claude Desktop o scripts personalizados. Fácil de integrar, extensible y listo para automatizar tu defensa digital.

This sample implements the Langchain MCP adapter to the Box MCP server.

It is a modular and extensible AI agentic server system that connects specialized agents through a central REST API. These agents can analyze code repositories, fetch external data (like weather), generate text summaries, and remember past interactions using a persistent memory manager.

Agent-to-Agent (A2A) communication protocol for inter-agent coordination and a Model Context Protocol (MCP)-inspired architecture for interacting with external tool servers.

This repo is for Praticing the Langgraph,Langchain,AI Automation and other stuff along with these MCP server,client implementation

A MCP (model context protocol) server that gives the LLM access to and knowledge about databases

langchain-based client for proxmox mcp server - co-pilot experiment

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

The llm_to_mcp_integration_engine is a communication layer designed to enhance the reliability of interactions between LLMs and tools (like MCP servers or functions).

Unlock 650+ MCP servers tools in your favorite agentic framework.

The Search For A Refined Coding ChatGPT for Software Engineers

Python library for integrating the Alation API into agentic workflows

This repo is dedicated to learning and working with large language models (LLMs), prompt engineering, and modern GenAI tools such as LangChain, RAG, and vector databases.

E14Z - AI Tool Discovery Platform. The npm for AI agents to discover and connect to MCP servers.

Repo for demonstrating simple Model Context Protocol (MCP) server with several Agent Frameworks

A Model Context Protocol server that facilitates interaction with the Solana blockchain, built using the Ping Agent Kit. (

This Streamlit application provides a user interface for connecting to MCP (Model Context Protocol) servers and interacting with them using different LLM providers (OpenAI, Anthropic, Google...).

Simple MCP Server w/ Shell Exec. Connect to Local via Ngrok, or Host Ubuntu24 Container via Docker

A Go adapter that bridges LangChain Go tools with Model Context Protocol (MCP) servers.

Quarkus Langchain4J Workshop

💬 MaxKB is an open-source AI assistant for enterprise. It seamlessly integrates RAG pipelines, supports robust workflows, and provides MCP tool-use capabilities.

GitHub AI Agent powered by official GitHub MCP Server. Uses LangGraph and LangChain MCP Adapters. Agent is exposed on various agent transport protocols (AGNTCY Slim, Google A2A, MCP Server)

** THIS REPO HAS MOVED TO

Simple CLI MCP Client Implementation Using LangChain ReAct Agent / TypeScript

🚀 mcp-use is a TypeScript library that makes it easy to connect LangChain.js-compatible LLMs with MCP servers. Build powerful, flexible AI agents with dynamic tool access and multi-server support.

MCP Tools Usage From LangChain ReAct Agent / Example in TypeScript

Simple CLI MCP Client Implementation Using LangChain ReAct Agent / Python

This repository contains all source code for AIOS (Langchain server, Website, Desktop application). This will be a good example using MCPs

This repository contains hands-on projects, code examples, and deployment workflows. Explore multi-agent systems, LangChain, LangGraph, CrewAI, RAG, automation with n8n, and scalable agent deployment using Docker, AWS, and BentoML.

A Repository of Functions Consumable by Other Agent Frameworks

Alris is an AI automation tool that transforms natural language commands into task execution.