# Gabrielkasmi Deeppvmapper MCP server

Source: https://glimind.com/server/mcp-registry%2Fio.github.gabrielkasmi%2Fdeeppvmapper
Registry id: `mcp-registry/io.github.gabrielkasmi/deeppvmapper`
Status: live (checked 2026-10-27T03:15:24.932Z)

## Measurements (30 days)

- Uptime: 99.93%
- Checks: 4954
- Outages (90 days): 2

## Install

```json
{
  "mcpServers": {
    "gabrielkasmi-deeppvmapper-mcp-server": {
      "type": "http",
      "url": "https://zelhliylrlktnasircwp.supabase.co/functions/v1/mcp/mcp"
    }
  }
}
```

Claude Code:

```sh
claude mcp add --transport http gabrielkasmi-deeppvmapper-mcp-server https://zelhliylrlktnasircwp.supabase.co/functions/v1/mcp/mcp
```

## Tools (21)

- `aggregate_capacity`: Aggregate installed capacity by department or region
- `aggregate_detection_capacity`: Compute the total estimated installed capacity (kWp) and count of detections matching a set of filters — département, commune, capacity range, and cross-validat
- `check_quality`: Check data-quality signals for detections
- `count_detections`: Count detections matching a set of filters, exactly, without downloading rows (fast, no row cap). Use this for "how many ..." questions, e.g. "how many installa
- `explore_area`: Explore PV detections in a geographic area
- `get_community_activity`: Get a snapshot of ongoing community contribution activity on the map: how many corrections are currently pending moderation, their breakdown by action type (add
- `get_community_activity_in_area`: Find pending, unmoderated community contributions relevant to a specific area, to answer "has anyone flagged anything here that is not in the registry yet?" Two
- `get_data_quality_reference`: Return the DeepPVMapper/OpenPVMapper registry's documented data-quality characteristics: estimated detection recall, which fields are model-derived estimates vs
- `get_department_capacity_stats`: Get installed rooftop-PV capacity (total kWp) and system counts for one or all French départements, from the DeepPVMapper/OpenPVMapper registry. This is a fixed
- `get_department_profile`: One-call profile of a département: installed capacity and national rank, yearly trend (by first-seen imagery year), source mix, share identified by 2+ sources, 
- `get_department_yearly_stats`: Get yearly system counts and capacity by département, based on first-seen imagery year. Useful for tracking apparent PV deployment growth over time. Data qualit
- `get_detection_details`: Get the full record of one detection by id: technical characteristics (surface, kwp, tilt, azimuth — model estimates), imagery years, sources decoded into plain
- `get_detections_in_bbox`: Get rooftop-PV detections within a geographic bounding box (WGS84 lon/lat), including footprint geometry. Intended for map-style spatial queries over a small ar
- `get_field_coverage`: Completeness report: for each optional field of the registry (rnb_id, frpv_proba, false_positive, false_positive_source), how many detections have it filled in 
- `get_field_distribution`: Histogram of a numeric field (kwp, surface, tilt, azimuth, n_vintages, first_seen, last_seen) with exact counts per bin, for France or one département. Answers 
- `get_field_reference`: Field-by-field documentation of a detection record: type, unit, nullability, whether it is observed or a model estimate, how to read it, and which tool filters 
- `get_source_breakdown`: Break down detections by source code (0=DPVM pipeline, 1=FRPV reference, 2=OSM, 3=manual correction, 4=recall sample), for one département or all of France, wit
- `get_source_reference`: Explain the data sources behind the registry's `sources` field: for each source, its code, short key, name, accepted aliases, and where the data comes from (wit
- `get_started`: START HERE. Call this first when the user is new, asks what this server can do, or asks a vague question about DeepPVMapper. Returns a plain-language introducti
- `search_detections`: Search individual rooftop-PV detections by département, commune (INSEE code), estimated capacity range, and/or cross-validation confidence (min_vintages, cross_
- `track_deployment`: Track yearly deployment of rooftop PV installations

Measured by Glimind (https://glimind.com): MCP handshake + tool list only, no tool is ever called. CC BY 4.0.