Google Earth Engine MCP Server
Provides tools for interacting with Google Earth Engine, including initializing and authenticating, visualizing datasets as maps, retrieving dataset information, computing statistics for data in specified regions, and searching for datasets.
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
Google Earth Engine MCP Server
Uses @vercel/mcp-adapter
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.
Related MCP server: MCP Data Server
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:
A Google Earth Engine account
A Google Cloud service account with Earth Engine access
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_URLMake sure you have Fluid compute enabled for efficient execution
After enabling Fluid compute, open
app/route.tsand adjustmaxDurationto 60 (or higher if using a Vercel Pro or Enterprise account)
Sample Client
script/test-client.mjs contains a sample client to try invocations.
node scripts/test-client.mjs https://mcp-for-next-js.vercel.appRelated MCP Connectors
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