Site Intelligence
Score any coordinate for ecological and agricultural land suitability from satellite data
Install
Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).
site-intelligence-mcpclaude mcp add site-intelligence -e 'RAPIDAPI_KEY=<your rapidapi_key>' -- uvx site-intelligence-mcp==0.1.4
{
"mcpServers": {
"site-intelligence": {
"command": "uvx",
"args": [
"site-intelligence-mcp==0.1.4"
],
"env": {
"RAPIDAPI_KEY": "<your rapidapi_key>"
}
}
}
}
Environment variables
RAPIDAPI_KEYrequired secret RapidAPI key with a subscription to the Site Intelligence API (free tier available)
Documentation
From the project's README on GitHub, refreshed weekly. Links open on GitHub.
Site Intelligence MCP
Score any geographic coordinate for ecological and agricultural land suitability, directly from your AI coding agent.
Analyses satellite and climate data around a point and returns a weighted suitability score with a per-metric breakdown: vegetation health, water access, precipitation, terrain, cropland proximity, urbanisation pressure, climate, and distance to infrastructure.
Built for agtech, precision agriculture, ecological field research, conservation planning, environmental consulting and apiculture.
Install
Requires a key for the Site Intelligence API on RapidAPI (free tier available).
Claude Code
claude mcp add site-intelligence \
--env RAPIDAPI_KEY=your_key_here \
-- uvx site-intelligence-mcp
Claude Desktop / Cursor / Windsurf
Add to your MCP config:
{
"mcpServers": {
"site-intelligence": {
"command": "uvx",
"args": ["site-intelligence-mcp"],
"env": {
"RAPIDAPI_KEY": "your_key_here"
}
}
}
}
Usage
Ask your agent in plain language:
How suitable is 38.42, 27.14 for an apiary? Check May specifically.
Compare these three coordinates for a reforestation site and tell me which has the best water access.
Tool
site_score
| Parameter | Type | Default | Notes | |
|---|---|---|---|---|
lat | float | required | -90 to 90 | |
lon | float | required | -180 to 180 | |
radius_m | int | 2000 | Analysis radius, 200-5000 | |
month | int | (none) | 1-12 for a seasonal view; omit for annual | |
detail | "summary" \ | "full" | "summary" | "full" adds per-metric raw diagnostics |
detail defaults to "summary" deliberately: tool results are spent from the
model's context window, and the full diagnostic payload runs to several KB.
Ask for "full" only when you need the underlying values.
Without uv
pip install site-intelligence-mcp
then use site-intelligence-mcp as the command with no args.
Configuration
| Variable | Required | Default |
|---|---|---|
RAPIDAPI_KEY | yes | — |
BEELOCATE_RAPIDAPI_HOST | no | site-intelligence-api.p.rapidapi.com |
Get a key from the Site Intelligence API listing.
Limits
- Not a weather forecast and not a property-value estimate.
- Resolution is bounded by the underlying satellite sources; very small radii will not resolve individual parcels.
- Rate limits and quota follow your RapidAPI plan.
Licence
MIT
Frequently asked questions
What is Site Intelligence?
Score any coordinate for ecological and agricultural land suitability from satellite data
How do I install Site Intelligence?
It runs on your machine. In Claude Code: claude mcp add site-intelligence -e 'RAPIDAPI_KEY=<your rapidapi_key>' -- uvx site-intelligence-mcp==0.1.4. For other clients, paste the JSON configuration from this page into their MCP settings.
Does Site Intelligence need an API key?
Yes. It expects RAPIDAPI_KEY, which you set in its configuration.
Is Site Intelligence open source?
Yes. Its code is on GitHub under the MIT license.
Who maintains Site Intelligence?
It is published by bayrakdaralper. AI.tn lists it but does not maintain or endorse it.
From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.