Simple MCP Client with LangGraph Agent

@simozampa

Repository

Basic information

About Simple MCP Client with LangGraph Agent

Simple Multi-Server MCP Client with LangChain

#mcp-client #langchain #expressjs

Simple MCP Client with LangGraph Agent config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

Simple MCP Client with LangGraph Agent tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Simple MCP Client with LangGraph Agent?

A lightweight implementation of a multiserver MCP (Model Context Protocol) client that uses a LangGraph agent for conversations, built with Express.js and TypeScript.

How to use Simple MCP Client with LangGraph Agent?

Clone the repository, install dependencies with npm install, create a .env file with PORT, NODE_ENV, CORS_ORIGIN, and ANTHROPIC_API_KEY, then build and start using npm run build followed by npm start. Use the /api/chat POST endpoint to send messages and configure MCP servers.

Key features of Simple MCP Client with LangGraph Agent

Express.js server with TypeScript
LangGraph agent for handling conversations
MCP client for tool integration
Streaming responses

Use cases of Simple MCP Client with LangGraph Agent

Build a chatbot that can call external MCP tools (e.g., weather services)
Create an agent that orchestrates multiple MCP servers in a single conversation
Prototype and test MCP integrations with a streaming LangGraph agent

Frequently asked questions

What runtime dependencies does it require?

It requires Node.js, Express.js, TypeScript, the Anthropic SDK (for the LangGraph agent), and MCP client libraries. An Anthropic API key must be set in the `.env` file.

How does authentication work?

The server uses an optional API key per MCP server, passed in the `mcpServers` array. No other authentication is enforced; CORS can be configured via the `CORS_ORIGIN` environment variable.

Where is conversation data stored?

Conversation history is passed in the request body (`chatHistory`) and managed client-side. The server does not persist any data.

What transport does the API use?

The server exposes standard HTTP endpoints (GET and POST). Streaming responses are supported via the ReadableStream API.

Can I use multiple MCP servers in one request?

Yes, the `mcpServers` array accepts multiple server objects, each with a name, version, and URL. The LangGraph agent will retrieve tools from all specified servers.

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