The Jupyter Earth MCP Server is a Model Context Protocol server enabling geospatial data analysis within Jupyter notebooks, specifically for Earth data. It facilitates dataset searching, data granule downloading from NASA Earthdata, and supports integration with JupyterLab and Claude Desktop for efficient Earth data processing and visualization.
Added on:
Created by:
Apr 25 2025
The Jupyter Earth MCP Server is a Model Context Protocol server enabling geospatial data analysis within Jupyter notebooks, specifically for Earth data. It facilitates dataset searching, data granule downloading from NASA Earthdata, and supports integration with JupyterLab and Claude Desktop for efficient Earth data processing and visualization.
Added on:
Created by:
Apr 25 2025
Datalayer
Featured
What is Jupyter Earth MCP Server?
This MCP server provides tools for comprehensive Earth data analysis within Jupyter environments. It allows users to search for datasets and data granules on NASA Earthdata, download the data locally, and perform geospatial analysis using integrated tools. The server is designed to work seamlessly with JupyterLab and supports Docker-based deployment. Users can also configure it to work with Claude Desktop, enabling cross-platform geospatial data processing. The server includes features like real-time collaboration, flexible data querying with spatial and temporal filters, and a dedicated tool for downloading Earth data granules, streamlining workflows for researchers and analysts aiming to handle large-scale Earth observation data.
Who will use Jupyter Earth MCP Server?
- Researchers
- Data Scientists
- Geospatial Analysts
- Earth Science Students
- Environmental Researchers
How to use the Jupyter Earth MCP Server?
- Step 1: Install necessary dependencies and Docker.
- Step 2: Start JupyterLab with the MCP server using the provided commands.
- Step 3: Configure Claude Desktop if needed, including port and token settings.
- Step 4: Use the provided tool `download_earth_data_granules` in notebooks to search and download Earth data datasets.
- Step 5: Perform geospatial analysis within Jupyter notebooks using the downloaded data.
Jupyter Earth MCP Server's Core Features & Benefits
The Core Features
- Dataset search on NASA Earthdata
- Download Earth data granules
- Configure MCP server for JupyterLab and Claude Desktop
- Support for spatial and temporal data filters
- Real-time collaboration in Jupyter
The Benefits
- Streamlined Earth data access within notebooks
- Simplifies large data handling
- Enhances geospatial data analysis efficiency
- Cross-platform compatibility with Docker and Claude Desktop
- Supports collaborative workflows
Jupyter Earth MCP Server's Main Use Cases & Applications
- Climate change research with sea level analysis
- Environmental monitoring using NASA Earthdata
- Educational purposes for Earth data analysis
- Large-scale geospatial data research
- Development of geospatial AI models
FAQs of Jupyter Earth MCP Server
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