MCP for interacting with Street View imagery
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# Street View MCP A Model-Client-Protocol (MCP) server for Google Street View API that enables AI models to fetch and display street view imagery and create virtual tours. ## Using with Claude Desktop To use Street View MCP with Claude Desktop: 1. Ensure you have `uv` installed: [UV Installation Guide](https://github.com/astral-sh/uv) 2. Clone this repository: ```bash git clone https://github.com/vlad-ds/street-view-mcp.git cd street-view-mcp ``` 3. Install dependencies: ```bash uv pip install -e ".[dev]" ``` 4. Get a Google Maps API key (instructions below) 5. Add the following to your Claude Desktop `claude_desktop_config.json` file: ```json "street_view": { "command": "uv", "args": [ "run", "--directory", "/path/to/street-view-mcp", // Replace with your actual path "mcp", "run", "src/street_view_mcp/server.py" ], "env": { "API_KEY": "your_google_maps_api_key_here" // Add your API key here } } ``` After configuration, you can use Street View MCP in Claude Desktop simply by typing "/street_view". ## Overview Street View MCP provides a simple interface for AI models to: 1. Fetch Street View images by address, coordinates, or panorama ID 2. Save images to local files 3. Open saved images in the default viewer 4. Create HTML pages that compile multiple Street View images into virtual tours ## Requirements - Python 3.9+ - Google Maps API key with Street View API enabled - `fastmcp` package - `uv` package manager (recommended) ## Installation ```bash # Clone the repository git clone https://github.com/vlad-ds/street-view-mcp.git cd street-view-mcp # Create and activate a virtual environment with uv (recommended) uv venv source .venv/bin/activate # On Windows: .venv\Scripts\activate # Install dependencies uv pip install -e ".[dev]" ``` ## API Key Setup The Street View MCP requires a Google Maps API key with Street View API enabled: 1. Visit the [Google Cloud Console](https://console.cloud.goo…
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