MCP server enabling LLM-powered access to multi-dimensional geo-spatial datacubes in rasdaman.
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[](https://fastmcp.me/MCP/Details/1833/rasdaman-mcp-server) [](https://fastmcp.me/MCP/Details/1833/rasdaman-mcp-server) [](https://fastmcp.me/MCP/Details/1833/rasdaman-mcp-server) [](https://fastmcp.me/MCP/Details/1833/rasdaman-mcp-server) [](https://fastmcp.me/MCP/Details/1833/rasdaman-mcp-server) [](https://fastmcp.me/MCP/Details/1833/rasdaman-mcp-server) # Rasdaman MCP Server This tool enables users to interact with rasdaman in a natural language context. By exposing rasdaman functionality as tools via the MCP protocol, an LLM can query the database to answer questions like: - "What datacubes are available?" - "What are the dimensions of the 'Sentinel2_10m' coverage?" - "Create an NDVI image for June 12, 2025." The MCP server translates these tool calls into actual WCS/WCPS queries that rasdaman can understand and then returns the results to the LLM. ## Installation ```bash pip install rasdaman-mcp ``` ## Usage The entry point is `rasdaman-mcp`. It can be run in two primary modes controlled by the `--transport` command-line argument: `stdio` (default) and `http`. ### Configuration The connection from the MCP server to rasdaman can be configured in two ways. 1. Command-line arguments: - `--rasdaman-url`: URL for the rasdaman server (default `RASDAMAN_URL` environment variable or `http://localhost:8080/rasdaman/ows`). - `--username`: Username for authentication (default `RASDAMAN_USERNAME` environment variable or `rasguest`). - `--password`: Sets the password for authentication (default `RASDAMAN_PASSWORD` environment variable or `rasguest`). 2. Environment variables: - `RASDAMAN_URL`: URL for the ras…
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