Https://github.com/user-attachments/assets/364b6705-14d4-4e6d-bea7-fb9f12664fab for the Model Context Protocol. Enhance AI assistants with powerful integrations
Documentation
https://github.com/user-attachments/assets/364b6705-14d4-4e6d-bea7-fb9f12664fab
Getting Started
Set Up Environment Variables
Create a .env file at the root of your project:
touch .envAdd the following to .env:
LANGSMITH_API_KEY=lsv2_...
OPENAI_API_KEY=sk-...Next, navigate to the agent folder and create another .env file:
cd agent
touch .envAdd the following inside agent/.env:
OPENAI_API_KEY=sk-...
LANGSMITH_API_KEY=lsv2_...Set Up Poetry:
Poetry manages dependencies for the agent service. Install it with:
pip install poetryVerify the installation by running:
poetry --versionDevelopment
For easier debugging, run the frontend and agent in separate terminals:
# Terminal 1 - Frontend
pnpm run dev-frontend
# Terminal 2 - Agent
pnpm run dev-agentAlternatively, launch both services together:
pnpm run devVisit http://localhost:3000 in your browser to view the application.
Architecture
The codebase is organized into two primary components:
- Frontend - Handles the user interface.
- Agent - Manages the core functionality.
License
Distributed under the MIT License. See LICENSE for more info.
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