Enables natural language querying of Google Earth Engine datasets, task execution, and visualization within chat interfaces.
This project provides an MCP (Model Context Protocol) server for Google Earth Engine, allowing AI assistants to interact with the platform through natural language. It leverages the Vercel MCP Adapter to integrate seamlessly with Next.js projects. The server allows users to fetch datasets, run tasks, and visualize results directly within chat applications. Key functionalities include dataset searching, statistical computation, and map visualization. Utilizing Google Cloud service accounts and Earth Engine authentication, it empowers AI to access and process geospatial data efficiently.
Key Features
01Statistical computation for Earth Engine data
02Dataset visualization as maps
030 GitHub stars
04Dataset searching and information retrieval
05Integration with Next.js using Vercel MCP Adapter
06Natural language querying for Google Earth Engine
Use Cases
01Enabling natural language access to geospatial data for non-technical users.
02Integrating Earth Engine functionality into chat-based AI assistants.
03Automating Earth Engine tasks through AI-driven workflows.
