copilotkit_open_mcp_client
by CopilotKitOpen MCP Client for AI Integration
Overview
The Open MCP Client is a powerful tool designed to integrate AI capabilities into your applications. It provides a seamless interface for connecting to MCP servers and leveraging their tools. The project is split into two main components: a LangGraph agent and a frontend application built with CopilotKit.
Getting Started
Set Up Environment Variables
To get started, you'll need to set up your environment variables. Create a .env file at the root of your project and add the following:
LANGSMITH_API_KEY=lsv2_...
OPENAI_API_KEY=sk-...
Next, create another .env file inside the agent folder:
cd agent
touch .env
Add the following inside agent/.env:
OPENAI_API_KEY=sk-...
LANGSMITH_API_KEY=lsv2_...
Set Up Poetry
Poetry is used for dependency management in the agent service. To install Poetry, run:
pip install poetry
To verify the installation, run:
poetry --version
Development
We recommend running the frontend and agent separately in different terminals to debug errors and logs:
# Terminal 1 - Frontend
pnpm run dev-frontend
# Terminal 2 - Agent
pnpm run dev-agent
Alternatively, you can run both services together with:
pnpm run dev
Then, open http://localhost:3000 in your browser.
Architecture
The codebase is split into two main parts:
/agentfolder – A LangGraph agent that connects to MCP servers and calls their tools./appfolder – A frontend application using CopilotKit for UI and state synchronization.
Resources
Contributors
- @ataibarkai
- @suhasdeshpande
- @britto-miralabs
- @tylerslaton
- @britto-thoughtminds
- @NathanTarbert
- @nilslice
- @wsqstar
- @vaishnav-TM
- @tom-miralabs
Languages
- TypeScript 84.1%
- CSS 8.1%
- Python 6.5%
- JavaScript 1.3%
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