Langchain MCP Server

MCP To LangChain Tools Conversion Utility

Remote serverstreamable-httpPython

What is the Langchain MCP server?

Langchain MCP server is a hosted integration for AI assistants that speak the Model Context Protocol. MCP To LangChain Tools Conversion Utility.

What you get

A simple, lightweight library to use Model Context Protocol (MCP) server tools from LangChain.

This package is intended to simplify the use of Model Context Protocol (MCP) server tools with LangChain / TypeScript.

What the assistant can call

Once Langchain is connected, these are the calls the assistant has available:

  • Limitations — The Limitations tool exposed by this server
  • Notes — The Notes tool exposed by this server
  • Troubleshooting — 1. Enable debug logging: Set logLevel: "debug" to see detailed connection and execution logs 2. Check server stderr: For local MCP servers
  • Solution — The new option, llmProvider, has been introduced for performing provider-specific JSON schema transformations:
  • References — The References tool exposed by this server

Configuration and credentials

You will need 2 environment variables: BRAVE_API_KEY, GITHUB_PERSONAL_ACCESS_TOKEN. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.

  • Node.js 18+ - [optional] npm 7+ (npx) to run Node.js package-based local MCP servers - [optional] uv (uvx) installed to run Python-based local (stdio) MCP servers

Setting it up

Being a remote server, there is no local install. You register the endpoint with your client, authorise it once, and the tools appear.

Choosing this one

This sits in the developer tooling group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Langchain's toolset — Limitations, Notes, Troubleshooting and 2 more — is a fair guide to whether it matches your workflow. It is maintained by h1deya; worth a glance at recent repository activity before you build anything load-bearing on it.

This entry was verified against Langchain's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.

Before you rely on it

  • Your data travels to the provider's service, so the usual questions apply about what you send and what they retain.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • MCP clients confirm each tool call by default. Leave that on until you have watched what the langchain mcp server does with a few real requests.

Available tools

ToolWhat it does
LimitationsThe Limitations tool exposed by this server.
NotesThe Notes tool exposed by this server.
Troubleshooting1. **Enable debug logging**: Set logLevel: "debug" to see detailed connection and execution logs 2. **Check server stderr**: For local MCP servers, use stderr redirection to capture server error output 3. **Test explicit
SolutionThe new option, llmProvider, has been introduced for performing provider-specific JSON schema transformations:
ReferencesThe References tool exposed by this server.

How to install the Langchain MCP server

{
  "mcpServers": {
    "langchain-1": {
      "command": "npx",
      "args": ["-y", "@h1deya/langchain-mcp-tools"],
      "env": {
        "BRAVE_API_KEY": "your-value",
        "GITHUB_PERSONAL_ACCESS_TOKEN": "your-value"
      }
    }
  }
}

Add to claude_desktop_config.json, then restart Claude Desktop.

Configuration

  • Node.js 18+ - [optional] npm 7+ (npx) to run Node.js package-based local MCP servers - [optional] uv (uvx) installed to run Python-based local (stdio) MCP servers
VariableDescriptionRequired
BRAVE_API_KEYCredential the server authenticates with.Yes
GITHUB_PERSONAL_ACCESS_TOKENCredential the server authenticates with.Yes

Example prompts to try

  • Use Langchain to Limitations.
  • Use Langchain to Notes.
  • Use Langchain to Troubleshooting.

Frequently asked questions

It connects Langchain to MCP-compatible AI assistants such as Claude and Cursor, exposing 5 tools (Limitations, Notes, Troubleshooting, and more) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with Langchain directly.