Jupyter Earth MCP Server

Example Use Cases

• 1

  Download NASA Earthdata granules into a local Jupyter notebook for geospatial analysis and preprocessing.

• 2

  Orchestrate dataset searches and automated retrievals (by short name, temporal range, bounding box, and count) inside notebook-based workflows.

• 3

  Integrate Jupyter-hosted analysis with LLM-driven tools (e.g., Claude Desktop) via the MCP protocol to enable conversational data access and notebook manipulation.

Description

Jupyter Earth MCP Server is a Model Context Protocol (MCP) server implementation for geospatial analysis in Jupyter. It exposes tools (notably download_earth_data_granules) to search and fetch NASA Earthdata datasets and granules into a local notebook environment, and integrates with JupyterLab and tools like Claude Desktop. The project is distributed as a Docker image and includes instructions for running JupyterLab with real-time collaboration enabled to support notebook-based analysis workflows.