Content
# TAK Server MCP (Model Context Protocol)
A Model Context Protocol (MCP) server for integrating TAK Server with AI systems, enabling geospatial-aware deep research and analysis capabilities.
[](https://opensource.org/licenses/MIT)
[](https://modelcontextprotocol.io)
[](https://nodejs.org)
## 🚀 Features
### Multi-Transport Support
- **stdio** - Standard input/output for CLI integration
- **HTTP+SSE** - Server-Sent Events for web integration
- **WebSocket** - Real-time bidirectional communication
### Complete Tool Suite (11 Tools)
#### 📍 Geospatial Operations
- `tak_spatial_query` - Query entities within geographic areas
- `tak_calculate_distance` - Distance calculations with travel time estimates
- `tak_find_nearest` - Find nearest entities with bearings
- `tak_create_geofence` - Create geofenced areas with alerts
- `tak_analyze_movement` - Track movements and detect anomalies
#### 📡 Real-time Operations
- `tak_get_cot_events` - Retrieve Cursor on Target events
- `tak_send_cot_event` - Send CoT messages
- `tak_subscribe_events` - Subscribe to live event streams
- `tak_get_entities` - Get current entity states
#### 🚨 Mission & Emergency
- `tak_get_missions` - List and manage missions
- `tak_get_alerts` - Retrieve and filter alerts
- `tak_send_emergency` - Send emergency broadcasts
- `tak_manage_data_packages` - Upload/download data packages
### Advanced Features
- 🔐 Multiple authentication methods (OAuth 2.0, API tokens, certificates)
- 📊 H3 hexagonal indexing for spatial queries
- 🗺️ MGRS coordinate conversion
- ⚡ Real-time WebSocket subscriptions
- 💾 Intelligent caching with TTL
- 🔍 Comprehensive error handling
## 📋 Prerequisites
- Node.js >= 18.0.0
- TAK Server instance (one of):
- [TAK Server](https://tak.gov/) (Official)
- [FreeTAKServer](https://github.com/FreeTAKTeam/FreeTakServer) (Open Source)
- [taky](https://github.com/tkuester/taky) (Lightweight, CoT only)
## 🛠️ Installation
### Using NPM
```bash
npm install @skyfi/tak-server-mcp
```
### From Source
```bash
git clone https://github.com/skyfi/tak-server-mcp.git
cd tak-server-mcp
npm install
npm run build
```
### Using Docker
```bash
docker pull skyfi/tak-server-mcp:latest
```
## ⚙️ Configuration
### Environment Variables
```bash
# TAK Server Connection
TAK_SERVER_URL=https://your-tak-server.com
TAK_SERVER_API_TOKEN=your-api-token
TAK_SERVER_CLIENT_CERT=/path/to/cert.pem
TAK_SERVER_CLIENT_KEY=/path/to/key.pem
# MCP Configuration
MCP_TRANSPORT=stdio
MCP_PORT=3000
MCP_AUTH_ENABLED=false
```
### Configuration File
Create a `config.json`:
```json
{
"takServer": {
"url": "https://your-tak-server.com",
"apiToken": "your-token",
"verifySsl": true
},
"mcp": {
"transport": "stdio",
"port": 3000
},
"tools": {
"enabledTools": ["tak_get_cot_events", "tak_spatial_query"]
}
}
```
## 🚀 Quick Start
### 1. With Claude Desktop
Add to your Claude Desktop config:
```json
{
"mcpServers": {
"tak-server": {
"command": "npx",
"args": ["@skyfi/tak-server-mcp"],
"env": {
"TAK_SERVER_URL": "https://your-tak-server.com",
"TAK_SERVER_API_TOKEN": "your-token"
}
}
}
}
```
### 2. With Docker
```bash
docker run -it --rm \
-e TAK_SERVER_URL=https://your-tak-server.com \
-e TAK_SERVER_API_TOKEN=your-token \
skyfi/tak-server-mcp:latest
```
### 3. Command Line
```bash
# Install globally
npm install -g @skyfi/tak-server-mcp
# Run with environment variables
TAK_SERVER_URL=https://your-tak-server.com \
TAK_SERVER_API_TOKEN=your-token \
tak-server-mcp
# Or with config file
tak-server-mcp --config ./config.json
```
## 📚 Usage Examples
### Calculate Distance Between Points
```json
{
"tool": "tak_calculate_distance",
"arguments": {
"from": { "coordinates": [37.7749, -122.4194] },
"to": { "coordinates": [37.7849, -122.4094] },
"units": "kilometers"
}
}
```
### Find Nearest Friendly Units
```json
{
"tool": "tak_find_nearest",
"arguments": {
"point": { "coordinates": [37.7749, -122.4194] },
"maxDistance": 5000,
"entityTypes": ["a-f-*"],
"maxResults": 5
}
}
```
### Create Security Geofence
```json
{
"tool": "tak_create_geofence",
"arguments": {
"name": "Base Perimeter",
"shape": {
"type": "circle",
"center": [37.7749, -122.4194],
"radius": 2000
},
"alertLevel": "high",
"triggers": {
"onEntry": true,
"onExit": true
}
}
}
```
## 🧪 Testing
### Run Tests
```bash
# Run all tests
npm test
# Run with coverage
npm run test:coverage
# Run integration tests
npm run test:integration
```
### Test with TAK Server
```bash
# Test connection
./test-all-tools.js
# Run specific tool tests
./test-all-tools.js --tool tak_spatial_query
```
## 🐳 Docker Deployment
### Build Image
```bash
docker build -t tak-server-mcp .
```
### Run Container
```bash
docker run -d \
--name tak-mcp \
-e TAK_SERVER_URL=https://tak.example.com \
-e TAK_SERVER_API_TOKEN=your-token \
-p 3000:3000 \
tak-server-mcp
```
### Docker Compose
```yaml
version: '3.8'
services:
tak-mcp:
image: skyfi/tak-server-mcp:latest
environment:
TAK_SERVER_URL: ${TAK_SERVER_URL}
TAK_SERVER_API_TOKEN: ${TAK_SERVER_API_TOKEN}
MCP_TRANSPORT: http
MCP_PORT: 3000
ports:
- "3000:3000"
```
## 🤝 Integration Examples
### With LangChain
```python
from langchain.tools import MCPTool
tak_tool = MCPTool(
name="tak-server",
server_url="http://localhost:3000",
auth_token="your-mcp-token"
)
result = agent.run("Find all units within 10km of coordinates 37.7749, -122.4194")
```
### With Anthropic SDK
```typescript
import { MCPClient } from '@modelcontextprotocol/sdk';
const mcp = new MCPClient({
serverUrl: 'http://localhost:3000',
transport: 'http'
});
const tools = await mcp.listTools();
const result = await mcp.callTool('tak_spatial_query', {
center: [37.7749, -122.4194],
radius: 10000
});
```
## 🏗️ Architecture
```
┌─────────────────┐ ┌──────────────┐ ┌─────────────┐
│ AI Systems │────▶│ MCP Server │────▶│ TAK Server │
│ (LLMs, Agents) │◀────│ │◀────│ │
└─────────────────┘ └──────────────┘ └─────────────┘
│ │ │
│ ▼ │
│ ┌──────────────┐ │
└─────────────▶│ Tool Handlers│◀─────────────┘
└──────────────┘
```
## 🔒 Security
- TLS 1.2+ for all communications
- OAuth 2.0 and certificate-based authentication
- Input validation and sanitization
- Rate limiting and access controls
- Audit logging for all operations
## 📖 Documentation
- [API Reference](docs/API.md)
- [Tool Documentation](docs/TOOLS.md)
- [Integration Guide](docs/INTEGRATION.md)
- [Deployment Guide](docs/DEPLOYMENT.md)
- [Troubleshooting](docs/TROUBLESHOOTING.md)
## 🤝 Contributing
We welcome contributions! Please see our [Contributing Guide](CONTRIBUTING.md) for details.
1. Fork the repository
2. Create your 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
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
## 🙏 Acknowledgments
- TAK Product Center for TAK Server documentation
- Anthropic for the MCP specification
- The open-source geospatial community
## 📞 Support
- **Issues**: [GitHub Issues](https://github.com/skyfi/tak-server-mcp/issues)
- **Discussions**: [GitHub Discussions](https://github.com/skyfi/tak-server-mcp/discussions)
- **Email**: support@skyfi.com
## 🚦 Status
- ✅ All 11 advertised tools implemented
- ✅ Multi-transport support (stdio, HTTP, SSE)
- ✅ Docker support
- ✅ FreeTAKServer compatible
- 🚧 Test coverage in progress
- 🚧 Additional tool development ongoing
---
Made with ❤️ by SkyFi
