{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/c2b5b05f548d4f1492d5c107f0c48dbc\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/c2b5b05f548d4f1492d5c107f0c48dbc-598a84f02de7e74e.gif","duration":60.3603,"title":"Analyzing Sea Level Rise with AI-Powered Geospatial Tools and Jupyter","description":"This demo showcases how Model Context Protocol (MCP) simplifies geospatial analysis by integrating AI-powered tools for data search, retrieval, and processing. See how MCP enables seamless access to NASA Earth data and automates Python code generation in Jupyter Notebooks for efficient geospatial analysis."}