Simple MCP Client with LangGraph Agent
@simozampa
About Simple MCP Client with LangGraph Agent
Simple Multi-Server MCP Client with LangChain
Config
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTools
No tools detected
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
FAQ from Simple MCP Client with LangGraph Agent
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.
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.
Basic information
More AI & Agents MCP servers
1Panel
1Panel-dev🔥 1Panel is a modern, open-source VPS control panel — and the only one with native AI agent support. Run Ollama models, deploy OpenClaw agents, and manage your entire server stack from one clean web interface.
早起鸟儿喊真人验真
shenshaoyin早起鸟儿喊真人验真 is a remote MCP server available at http://121.40.18.232.
GetIntel
tarang8811Public docs + tool manifest for the GetIntel MCP connector (app.getintel.ai)
BlazingCDN MCP - Content Delivery for Video, Software & Static Files
BlazingCDNOfficial MCP server for BlazingCDN - AI agents (Claude, Cursor, Windsurf) manage CDN resources, purge cache, query metrics, domains, Anycast CDN, Video CDN and Media CDN

Transform MCP
UnstructuredThe Unstructured Transform MCP Server connects your ADK agent to Unstructured, a document processing platform that turns raw files into structured, AI-ready data. This integration gives your agent the ability to parse PD
Comments