SkyFi MCP Server

# SkyFi MCP Server SkyFi Model Context Protocol (MCP) server for AI agent integration with geospatial data services. ## Overview SkyFi MCP enables AI agents to seamlessly interact with SkyFi's geospatial data services through a comprehensive RESTful API with Server-Sent Events (SSE) support. The server provides: - **Order Management**: Create, track, and manage geospatial data orders - **Data Search**: Iterative search and exploration of geospatial data catalogs - **Pricing & Feasibility**: Check order feasibility and get pricing estimates - **Monitoring**: Set up Area of Interest (AOI) monitoring with webhook notifications - **Framework Integration**: Native support for ADK, LangChain, and AI SDK ## Quick Start ### Prerequisites - Node.js >= 18.0.0 - Docker and Docker Compose - PostgreSQL 15+ (or use Docker Compose) - Redis 7+ (or use Docker Compose) ### Installation 1. Clone the repository: ```bash git clone <repository-url> cd skyfi-mcp ``` 2. Install dependencies: ```bash npm install ``` 3. Copy environment file: ```bash cp .env.example .env ``` 4. Update `.env` with your configuration: - Set `SKYFI_API_KEY` with your SkyFi API key - Configure database and Redis URLs - Set security keys (JWT_SECRET, API_KEY_ENCRYPTION_KEY) 5. Start services with Docker Compose: ```bash docker-compose up -d ``` 6. Run database migrations (when available): ```bash npm run migrate ``` 7. Start the development server: ```bash npm run dev ``` The server will be available at `http://localhost:3000` ## Development ### Scripts - `npm run dev` - Start development server with hot reload - `npm run build` - Build TypeScript to JavaScript - `npm start` - Start production server - `npm test` - Run tests - `npm run test:watch` - Run tests in watch mode - `npm run test:coverage` - Generate test coverage report - `npm run lint` - Run ESLint - `npm run lint:fix` - Fix ESLint errors - `npm run format` - Format code with Prettier - `npm run type-check` - Type check without building ### Project Structure ``` skyfi-mcp/ ├── src/ │ ├── server/ # Server setup and routes │ ├── services/ # Business logic services │ ├── repositories/ # Data access layer │ ├── models/ # Data models and types │ ├── auth/ # Authentication and credentials │ ├── middleware/ # Express middleware │ ├── utils/ # Utility functions │ ├── config/ # Configuration │ └── sse/ # Server-Sent Events ├── docs/ # Documentation ├── tests/ # Test files ├── scripts/ # Utility scripts └── docker-compose.yml # Docker Compose configuration ``` ## API Documentation API documentation is available at `/docs/api` when the server is running. ### Base URL - Development: `http://localhost:3000/v1` - Production: `https://api.skyfi-mcp.com/v1` ### Authentication All API requests require an API key in the `Authorization` header: ``` Authorization: Bearer YOUR_API_KEY ``` ### Example Request ```bash curl -X GET http://localhost:3000/v1/health \ -H "Authorization: Bearer YOUR_API_KEY" ``` ## Testing Run the test suite: ```bash npm test ``` Run tests with coverage: ```bash npm run test:coverage ``` ## Docker ### Build Image ```bash docker build -t skyfi-mcp . ``` ### Run Container ```bash docker run -p 3000:3000 \ -e SKYFI_API_KEY=your_key \ -e DATABASE_URL=postgresql://... \ skyfi-mcp ``` ### Docker Compose Start all services: ```bash docker-compose up -d ``` Stop all services: ```bash docker-compose down ``` View logs: ```bash docker-compose logs -f mcp-server ``` ## Environment Variables See `.env.example` for all available environment variables. Key variables: - `SKYFI_API_KEY` - Your SkyFi API key (required) - `DATABASE_URL` - PostgreSQL connection string - `REDIS_URL` - Redis connection string - `JWT_SECRET` - Secret for JWT tokens - `API_KEY_ENCRYPTION_KEY` - Key for encrypting API keys ## Framework Integration ### ADK See `docs/integration/adk.md` for ADK integration guide. ### LangChain See `docs/integration/langchain.md` for LangChain integration guide. ### AI SDK See `docs/integration/ai-sdk.md` for AI SDK integration guide. ## Contributing 1. Fork the repository 2. Create a feature branch (`git checkout -b feature/amazing-feature`) 3. Commit your changes (`git commit -m 'Add amazing feature'`) 4. Push to the branch (`git push origin feature/amazing-feature`) 5. Open a Pull Request ## License MIT License - see LICENSE file for details ## Support For support, please open an issue in the repository or contact support@skyfi.com ## Status 🚧 **In Development** - This project is currently in active development. See the [PRD](./PRD.md) and [Architecture Documentation](./docs/architecture.md) for more details. --- **Version**: 1.0.0 **Last Updated**: January 2025