EO-MCP
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
| logging | {} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| extensions | {
"io.modelcontextprotocol/ui": {}
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| stac_searchC | Find clear Sentinel-2 L2A scenes over an area and date range. |
| scene_qualityB | Check scene cloud, nodata, and AOI coverage before index computation. |
| compute_indexA | Compute NDVI, NDWI, or NBR after checking the scene with scene_quality. |
| quick_statsC | Return zonal index statistics inside a WGS84 GeoJSON polygon. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 4 tools
Each tool has a clearly distinct purpose: searching for scenes, checking scene quality, computing indices, and getting statistics. No overlap or ambiguity.
All tool names use snake_case with a noun_noun or verb_noun pattern (e.g., stac_search, scene_quality). While not all are strictly verb_noun, they are consistent in format and readable.
Four tools is appropriate for the domain of satellite imagery analysis, covering the essential workflow from search to statistics without unnecessary bloat.
The tool set covers the key steps: search, quality check, index computation, and statistics. A minor gap is the lack of scene metadata retrieval, but stac_search likely provides some metadata.