{"type":"mcp_client","name":"open-mcp-client","description":"This repository contains a LangGraph agent service and a CopilotKit frontend application. The agent connects to MCP servers and utilizes their tools, while the frontend provides UI and state synchronization.","category":"AI","language":"TypeScript","stars":1645,"forks":135,"owner":"CopilotKit","github_url":"https://github.com/CopilotKit/open-mcp-client","homepage":"https://open-mcp-client.vercel.app/","setup":"## Setup\n\n1.  **Set Up Environment Variables:** Create a `.env` file at the root and add `LANGSMITH_API_KEY` and `OPENAI_API_KEY`.\n2.  Create another `.env` file inside the `agent` folder and add `OPENAI_API_KEY` and `LANGSMITH_API_KEY`.\n3.  **Set Up Poetry:** Install Poetry using `pip install poetry`.\n4.  Verify the installation using `poetry --version`.\n5.  **Development:** Run the frontend and agent separately using `pnpm run dev-frontend` and `pnpm run dev-agent`.\n6.  Alternatively, run both services together with `pnpm run dev`.\n7.  Open [http://localhost:3000](http://localhost:3000) in your browser.","tools":"## Available Tools\n\n1.  LangGraph agent (connects to MCP servers and calls their tools).\n2.  Frontend application (uses CopilotKit for UI and state synchronization).","faq":null,"created_at":"2025-03-08T19:22:42+00:00","updated_at":"2025-03-29T00:03:03+00:00","source_url":"https://model-context-protocol.com/clients/langgraph-mcp-agent-copilotkit-frontend","related_articles":[]}