# Vancam

> Real-time visual verification for AI agents.

Vancam gives AI agents structured access to live field imagery and visual condition data. No browser UI required — integrate via MCP or REST.

## Install (MCP)

```bash
git clone https://github.com/shughestr/mcp-vancam.git
cd mcp-vancam && pip install -r requirements.txt
```

Add to your MCP client:

```json
{
  "mcpServers": {
    "vancam": {
      "command": "python3",
      "args": ["/path/to/mcp-vancam/server.py"],
      "env": { "VANCAM_API_KEY": "your_api_key_here" }
    }
  }
}
```

## MCP tools

- `list_cameras` — feeds in a bounding box
- `get_cameras_by_radius` — feeds within radius (km)
- `get_cameras_along_route` — feeds along a route
- `get_nearest_cameras` — N closest feeds
- `get_camera_image` — live frame (image data) for asset_id
- `describe_camera_api` — self-describing tool reference

## REST API

- OpenAPI: https://vancam.ai/openapi.yaml
- Search: `GET https://api.vancam.ai/cameras/cameras?lat=&lon=&radius=` (requires x-api-key)
- Image: `GET https://api.vancam.ai/api?asset_id=` (requires x-api-key)

## Docs

- Documentation: https://vancam.ai/documentation
- MCP: https://vancam.ai/mcp
- API Reference: https://vancam.ai/docs
- Pricing: https://vancam.ai/pricing

## Source

- MCP server: https://github.com/shughestr/mcp-vancam