About Site Intelligence
Site Intelligence scores ecological and agricultural suitability around geographic coordinates using satellite and climate data. It is intended for agricultural, ecological, and conservation work, with weighted scores and metric-level details.
Key features
- 01Coordinate-based suitability scores
- 02Satellite and climate data analysis
- 03Weighted metric breakdown
- 04Seasonal or annual views
- 05Optional raw diagnostics
Use cases
- 01Assess a location for an apiary
- 02Compare reforestation site candidates
- 03Review water access and vegetation metrics
MCP support
Exposes the `site_score` tool to MCP clients. It accepts coordinates and analysis options, then returns a suitability score and metric breakdown.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
uvx site-intelligence-mcpRAPIDAPI_KEYSecretRapidAPI key with a subscription to the Site Intelligence API (free tier available)Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.
Tools
1Saved tool list · updated 2w ago
| Parameter | Type | Required | Description |
|---|---|---|---|
| lat | number | Yes | |
| lon | number | Yes | |
| month | any | No | |
| detail | enum | No | summary | full |
| radius_m | integer | No |
Details
From the project READMESite 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
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.