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Score any coordinate for ecological and agricultural land suitability from satellite data
About
Score any coordinate for ecological and agricultural land suitability from satellite data
Security Report
Valid MCP server (1 strong, 2 medium validity signals). No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry.
4 files analyzed · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
Environment variable: RAPIDAPI_KEY
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-bayrakdaralper-site-intelligence-mcp": {
"env": {
"RAPIDAPI_KEY": "your-rapidapi-key-here"
},
"args": [
"site-intelligence-mcp"
],
"command": "uvx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
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
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