🤖

LangChain MCP

Name: LangChain MCP
Author: langchain-ai

Updated June 2026✓ Official

The LangChain MCP MCP server, built by langchain-ai, provides connect LangChain-powered workflows to MCP clients. It is officially maintained and best for AI & ML.

by langchain-ai

About

Connect LangChain-powered workflows to MCP clients. Access vectorstores, chains, and agents built with LangChain through standardized MCP tooling.

Works With

🟣Claude Desktop ⚡Cursor 💙VS Code

Frequently Asked Questions

What is LangChain MCP?

LangChain MCP is an MCP server built by langchain-ai. Connect LangChain-powered workflows to MCP clients. Access vectorstores, chains, and agents built with LangChain through standardized MCP tooling.

Who built LangChain MCP?

LangChain MCP was built by langchain-ai.

Is LangChain MCP free?

Yes, LangChain MCP has a free option. This MCP server is free and open-source. Check the GitHub repository for details.

How do I install LangChain MCP?

Install LangChain MCP from its GitHub repository: https://github.com/langchain-ai/langchain-mcp-adapters

What does LangChain MCP integrate with?

LangChain MCP integrates with Claude Desktop, Cursor, VS Code.

Related Guides

Best MCP Servers for AI Agents and Multi-Agent Workflows in 2026

8 min read • Guides

Best MCP Servers for Machine Learning Engineers in 2026

8 min read • Guides

Best MCP Servers for LLM App Developers in 2026

8 min read • Guides

Best MCP Servers for Agentic Workflows in 2026

8 min read • Guides

MCP Integration Guide: OpenAI Agents SDK — Connect MCP Tools to OpenAI Agents

11 min read • Integrations

View on GitHub Visit Website

Repo Health

Local install

Local/stdio install — runs on your machine, so there is no remote endpoint to verify live. Trust signal below is from the source repo.

Repo recency not yet available for this server.

Quick Info

Install Type: pip
Author: langchain-ai
Categories: 2
Integrations: 3

Related Servers

🧠

Memory

Knowledge graph-based persistent memory system. Store and retrieve contextual information.

Local✓

🤖

Sequential Thinking

Dynamic and reflective problem-solving through thought sequences.

Local✓

🔍

Exa MCP Server

Exa's official MCP server connects AI assistants to a search engine purpose-built for AI, using neural embeddings to match on meaning rather than keywords so agents get clean, ready-to-use content instead of a page of blue links to re-parse. The default tool set covers web_search_exa for quick topical lookups and web_search_advanced_exa for full control over domains, date ranges, and content filters, plus specialized tools for code_search (searching real-world code and GitHub), company_research (building company profiles, competitor lists, and financials), crawling/web_fetch (pulling clean content from a specific URL), people_search and linkedin_search (public professional-profile lookups), and deep_researcher_start/check for long-running multi-step research tasks backed by Exa's Research API. The server is hosted at https://mcp.exa.ai/mcp — no local process to run — and connects via one-line setup in Cursor, VS Code, Claude Code, Claude Desktop (available as a native Connector), Codex, OpenCode, Windsurf, and Antigravity, authenticated with an EXA_API_KEY from the Exa dashboard. Tool exposure is tunable per client via a ?tools= query parameter on the endpoint URL, letting teams ship narrow, purpose-built configurations (e.g. company-research-only or LinkedIn-only agents) instead of exposing the full surface, and Exa ships ready-made Claude Skills/agent definitions for common patterns like company research and people search with built-in query-variation and token-isolation guidance.

Live✓

🗄️