What is a #langchain MCP server?
An MCP server tagged #langchain implements the Model Context Protocol so AI assistants like Claude, Cursor, and VS Code can access langchain-related tools, data, or APIs.
Every MCP server and client below is tagged #langchain — install one to give Claude, Cursor, VS Code, or any other MCP-compatible client access to langchain tools.
1Panel-dev
🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。
Shy2593666979
AgentChat 是一个基于 LLM 的智能体交流平台,内置默认 Agent 并支持用户自定义 Agent。通过多轮对话和任务协作,Agent 可以理解并协助完成复杂任务。项目集成 LangChain、Function Call、MCP 协议、RAG、Memory、HITL、Skill、Milvus 和 ElasticSearch 等技术,实现高效的知识检索与工具调用,使用 FastAPI 构建高性能后端服务。
grll
Unlock 650+ MCP servers tools in your favorite agentic framework.
quarkusio
Quarkus LangChain4J Workshop that demonstrates both single AI service capabilities and Agentic AI orchestration
MDalamin5
This repository contains hands-on projects, code examples, and deployment workflows. Explore multi-agent systems, LangChain, LangGraph, AutoGen, CrewAI, RAG, MCP, automation with n8n, and scalable agent deployment using Docker, AWS, and BentoML.
The-AI-Alliance
A web app for rapidly prototyping AI agents and the lightweight web UIs that wrap them—build flows, preview interactions, and share agent-driven experiences without lock-in.
guinacio
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, Ollama).
junfanz1
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 independent
junfanz1
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 independent
hideya
MCP to LangChain Tools Conversion Utility / TypeScript
datalayer
🦜🔗 LangChain Model Context Protocol (MCP) Client
mark-oori
Simple MCP Server w/ Shell Exec. Connect to Local via Ngrok, or Host Ubuntu24 Container via Docker
ryaneggz
🔌🔄 Simple MCP Server Deployment
cellwebb
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.
Million19
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).
Ayyappa054
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 fo
box-community
This sample implements the Langchain MCP adapter to the Box MCP server.
xenarch-ai
x402 MCP server for AI agent payments. Gasless USDC micropayments on Base L2. Claude, Cursor, LangChain, CrewAI, AutoGen, LangGraph resolve HTTP 402 with no API keys. Non-custodial, settlement-provider-agnostic, 0% fee.
TheCoder30ec4
This repo is for Praticing the Langgraph,Langchain,AI Automation and other stuff along with these MCP server,client implementation
simozampa
Simple Multi-Server MCP Client with LangChain
johnstetter
langchain-based client for proxmox mcp server - co-pilot experiment
aemholland
E14Z - AI Tool Discovery Platform. The npm for AI agents to discover and connect to MCP servers.
opendatalab
Official MinerU MCP server for document parsing. Convert PDF, DOCX, PPTX, images, and HTML to high-quality Markdown. Supports 109-language OCR, table/formula extraction, and both token-free Flash mode (20 pages / 10MB) and Precision mode (600 pages / 200MB). Works with Claude Des
hirokiyn
LangGraph agent tutorial adapted to use MCP servers.
jovanSAPFIONEER
Multi-agent orchestration MCP server with atomic shared blackboard, FSM governance, per-agent budget enforcement, and adapters for 12 AI frameworks including LangChain, AutoGen, CrewAI, and OpenAI Assistants.
ndjordjevic
PinRAG is a retrieval-augmented generation (RAG) MCP server built with LangChain and Chroma. Index PDFs, plain text, Discord exports, YouTube transcripts, and GitHub repositories, then ask questions in Cursor, VS Code (Copilot), or any MCP-capable client. Answers include citation
ogulcanakca
Agent-to-Agent (A2A) communication protocol for inter-agent coordination and a Model Context Protocol (MCP)-inspired architecture for interacting with external tool servers.
airblackbox
EU AI Act compliance scanning for Python AI agents. 10 tools that scan, analyze, and fix compliance gaps across LangChain, CrewAI, AutoGen, OpenAI, and RAG pipelines. Checks 6 EU AI Act articles with HMAC-SHA256 tamper-evident audit trails. pip install air-blackbox-mcp. August 20
memstate-ai
Git for agent memory. Memstate gives AI agents versioned, structured memory with automatic conflict detection, full version history, and up to 80% fewer tokens than vector-based alternatives. Extracts facts from text and markdown into structured keypaths, with 84.4% accuracy on t
RyjoxTechnologies
Persistent memory for AI agents that survives across sessions. Store, recall, and semantically search memories. Includes loop detection that catches agents stuck repeating themselves, full audit trails, shared memory between agents, and a real-time dashboard. Works with Claude Co
mcpmessenger
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.
esakrissa
LangChain Agent with MCP Servers: Using LangChain MCP Adapters for tool integration.
Agnuxo1
AES-256-GCM + Argon2id encrypted local vault for AI agent credentials. Store API keys, tokens, and passwords safely. Reference them as {{PLACEHOLDER}} in any AI workflow — LangChain, CrewAI, AutoGen, n8n, and 40+ frameworks.
serkanyasr
Transforms MCP tools into collaborative, reasoning agents using modern agent frameworks.
SDCalvo
Addapter that turns MCP server tools into langchain usable tools
sawantudayan
MCP (Model Context 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
archimedes-market
Expose any LangChain chain, agent, or tool as an MCP server. Schema-aware tool registration, tool-call tracing, retry and timeout policies, and structured output validation. Bridges the LangChain ecosystem into Claude / ChatGPT / Cursor without rewri
StefanKumarasinghe
The Search For A Refined Coding ChatGPT for Software Engineers
AndyLeong33dev
This repository contains all source code for AIOS (Langchain server, Website, Desktop application). This will be a good example using MCPs
MSKazemi
Tool-based LLM integration with Zenodo via the Model Context Protocol (MCP)
cnoe-io
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)
JuanLadeira
Learning how to build mcp-servers to connect in llms via langchain
marketinglior-pixel
Preflight spend control for AI agents. Block runaway agent loops before they start - not after the bill arrives. Per-request cost ceilings, budget checks, and outcome-based metering in 2 MCP tool calls.
Algiras
rhein1
MCP server for the Agoragentic marketplace where AI agents browse, invoke, and pay for services from other agents. 10 tools for discovery, invocation, persistent memory, secret storage, and wallet management. Payments in USDC on Base L2.
RahulSaini02
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.
fredrikp999
Example of using MCP servers, both over sdio + sse. Also using langchain-mcp
ryokosuge
AdadAlShabab
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 m
Common questions about MCP servers and clients tagged #langchain
An MCP server tagged #langchain implements the Model Context Protocol so AI assistants like Claude, Cursor, and VS Code can access langchain-related tools, data, or APIs.
mcp.so currently lists 49 MCP servers and clients tagged #langchain.
Open any server below and copy its install snippet into Claude Desktop, Cursor, VS Code, or another MCP client's configuration — remote servers need no separate download.