We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/Davaakhatan/skyfi-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server
README.md•1.75 kB
# SkyFi MCP Demo Agent
This directory contains demo agents that showcase SkyFi MCP capabilities across different AI frameworks.
## Available Demos
### 1. LangChain Demo Agent
A complete LangChain agent that demonstrates:
- Data search and exploration
- Price estimation
- Order creation and tracking
- Monitoring setup
**Location**: `langchain-demo/`
### 2. AI SDK Demo Agent
A Next.js-based demo using Vercel AI SDK that shows:
- Function calling with SkyFi MCP
- Interactive chat interface
- Real-time order status updates
**Location**: `ai-sdk-demo/`
### 3. ADK Demo Agent
A complete ADK integration example showing:
- Direct tool execution
- Natural language command parsing
- Interactive CLI interface
- All 6 SkyFi MCP tools
**Location**: `adk-demo/`
## Quick Start
### Prerequisites
- Node.js 18+ installed
- SkyFi MCP server running (or API key for remote server)
- Framework-specific dependencies (see individual demo READMEs)
### Running a Demo
1. Navigate to the demo directory:
```bash
cd demo/langchain-demo
```
2. Install dependencies:
```bash
npm install
```
3. Set environment variables:
```bash
cp .env.example .env
# Edit .env with your API keys
```
4. Run the demo:
```bash
npm start
```
## Demo Scenarios
Each demo includes example scenarios:
1. **Data Discovery**: Search for satellite imagery over a specific location
2. **Price Estimation**: Get cost estimates before ordering
3. **Order Placement**: Create and track data orders
4. **Monitoring Setup**: Configure area monitoring with webhooks
## Contributing
When adding a new demo:
1. Create a new directory under `demo/`
2. Include a README with setup instructions
3. Add example scenarios
4. Update this README