Google Earth Engine MCP Server

Uses @vercel/mcp-adapter <img width="1658" alt="image" src="https://github.com/user-attachments/assets/28f1e354-5182-4f2d-91c5-c2c87de6ed79" /> <img width="1665" alt="image" src="https://github.com/user-attachments/assets/ce2c5900-c02e-41d0-b8f4-745af50e9a19" />

Usage

This sample app uses the Vercel MCP Adapter that allows you to drop in an MCP server on a group of routes in any Next.js project.

Update app/[transport]/route.ts with your tools, prompts, and resources following the MCP TypeScript SDK documentation.

Google Earth Engine Tools

This project includes MCP tools for interacting with Google Earth Engine, a cloud-based platform for geospatial analysis. These tools allow AI assistants to:

• Initialize and authenticate with Earth Engine
• Visualize Earth Engine datasets as maps
• Retrieve information about Earth Engine datasets
• Compute statistics for Earth Engine data in specified regions
• Search for Earth Engine datasets

For more details, see the Earth Engine Tools README.

To use Earth Engine tools, you'll need:

1. A Google Earth Engine account
2. A Google Cloud service account with Earth Engine access
3. A service account private key for authentication

Notes for running on Vercel

• To use the SSE transport, requires a Redis attached to the project under process.env.REDIS_URL
• Make sure you have Fluid compute enabled for efficient execution
• After enabling Fluid compute, open app/route.ts and adjust maxDuration to 60 (or higher if using a Vercel Pro or Enterprise account)
• Deploy the Next.js MCP template

Sample Client

script/test-client.mjs contains a sample client to try invocations.

node scripts/test-client.mjs https://mcp-for-next-js.vercel.app