Open registry of 1.14M+ rooftop-solar detections across France, queryable by natural language.
Connect Remote server
claude mcp add --transport http deeppvmapper https://zelhliylrlktnasircwp.supabase.co/functions/v1/mcp/mcp{
"mcpServers": {
"deeppvmapper": {
"url": "https://zelhliylrlktnasircwp.supabase.co/functions/v1/mcp/mcp"
}
}
}{
"servers": {
"deeppvmapper": {
"type": "http",
"url": "https://zelhliylrlktnasircwp.supabase.co/functions/v1/mcp/mcp"
}
}
}Settings > Connectors > Add custom connector
URL: https://zelhliylrlktnasircwp.supabase.co/functions/v1/mcp/mcpTools 17 found in our last check
get_data_quality_referenceReturn the DeepPVMapper/OpenPVMapper registry's documented data-quality characteristics: estimated detection recall, which fields are model-derived estimates vs. structural/observed fields, the source-encoding table, the recommended confidence threshold, confidence signals, and…
get_department_capacity_statsGet installed rooftop-PV capacity (total kWp) and system counts for one or all French départements, from the DeepPVMapper/OpenPVMapper registry. This is a fixed, pre-computed department-wide aggregate with no other filters — use aggregate_detection_capacity instead if you need a…
get_department_yearly_statsGet yearly system counts and capacity by département, based on first-seen imagery year. Useful for tracking apparent PV deployment growth over time. Data quality note: this is a detection dataset, not an exhaustive inventory (estimated recall ~0.6). A missing detection does not…
search_detectionsSearch individual rooftop-PV detections by département, commune (INSEE code), estimated capacity range, and/or cross-validation confidence (min_vintages, cross_validated). Returns a bounded list of detection records plus a quality_summary for the returned sample (use get_detecti…
aggregate_detection_capacityCompute the total estimated installed capacity (kWp) and count of detections matching a set of filters — département, commune, capacity range, and cross-validation across sources (cross_validated) or imagery vintages (min_vintages) — plus a quality_summary for the summed sample.…
get_detections_in_bboxGet rooftop-PV detections within a geographic bounding box (WGS84 lon/lat), including footprint geometry. Intended for map-style spatial queries over a small area. Data quality note: this is a detection dataset, not an exhaustive inventory (estimated recall ~0.6). A missing dete…
get_community_activityGet a snapshot of ongoing community contribution activity on the map: how many corrections are currently pending moderation, their breakdown by action type (add / modify / delete), and the most recent submissions (timestamp, action, target). Submitted free-text comments are inte…
get_community_activity_in_areaFind pending, unmoderated community contributions relevant to a specific area, to answer "has anyone flagged anything here that is not in the registry yet?" Two independent filters: dpt finds pending edits/deletions (action=modify/delete) targeting existing detections in that dé…
count_detectionsCount detections matching a set of filters, exactly, without downloading rows (fast, no row cap). Use this for "how many ..." questions, e.g. "how many installations have an RNB id?" -> has_rnb_id=true; "how many are identified by 2+ sources?" -> quality_filter=true; "how many c…
get_source_breakdownBreak 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, with human-readable labels. A detection can carry several sources, so per-source counts overlap and do not add up to the t…
get_detection_detailsGet the full record of one detection by id: technical characteristics (surface, kwp, tilt, azimuth — model estimates), imagery years, sources decoded into plain labels, frpv_proba, false-positive flag, rnb_id and location codes, plus simple confidence signals. Data quality note:…
get_department_profileOne-call profile of a département: installed capacity and national rank, yearly trend (by first-seen imagery year), source mix, share identified by 2+ sources, and share matched to an RNB building id. Cross-references the pre-computed department statistics with live counts. Data…
get_field_coverageCompleteness report: for each optional field of the registry (rnb_id, frpv_proba, false_positive, false_positive_source), how many detections have it filled in and what percentage. Answers "how many installations have an RNB id / an FRPV comparison / a false-positive flag?" in o…
get_field_distributionHistogram 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 "how are installations distributed by size / tilt / orientation / year?". kwp, surface, tilt and azimuth are model esti…
get_field_referenceField-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 or reports it. Call this when the user asks what a field means or how reliable it is.
get_source_referenceExplain 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 (with references: code, thesis, papers). Use it for questions like "what is FRPV?", "where does the OSM data come from?", "…
get_startedSTART 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 introduction, example questions, which tool answers which kind of question, a glossary and the main caveats. Reply to the user in…
Details
| Endpoint | https://zelhliylrlktnasircwp.supabase.co/functions/v1/mcp/mcp (Streamable HTTP) |
| First published | 25 Sep 2026 |
| Last updated | 25 Sep 2026 |
| Registry name | io.github.gabrielkasmi/deeppvmapper |
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