# DeepPVMapper (remote · zelhliylrlktnasircwp.supabase.co)

Open registry of 1.14M+ rooftop-solar detections across France, queryable by natural language.

- Trust score: 62/100 (medium)
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-09-26

## Components

- remote · `zelhliylrlktnasircwp.supabase.co`: 62/100 (this document), [markdown](https://verifymcp.io/servers/gabrielkasmi-deeppvmapper/functions-v1-mcp-mcp.md), [page](https://verifymcp.io/servers/gabrielkasmi-deeppvmapper/functions-v1-mcp-mcp)

## Channel facts

- Endpoint: `https://zelhliylrlktnasircwp.supabase.co/functions/v1/mcp/mcp`
- Transports: `streamable-http`
- Auth: `none`
- Version: `0.1.0`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-09-26.

- **Endpoint Security**: 63/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - Authorisation not fully verified: no authorisation is required to call this server, and 8 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe.
  - HTTPS is enforced; there's no plaintext access path.
  - The HSTS (Strict-Transport-Security) header is present.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 65/100
  - AI-judged instruction clarity (excellent).
  - Context-footprint check failed: tool/resource definitions use about 1952 tokens (~244/item across 8 items; 8 tools + 0 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 3/100
  - Stability observed for 1 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 92/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 75% of tool parameters carry a description.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 8 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 8 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 40/100
  - Spec-recency check failed: implements MCP spec 2025-03-26; the latest is 2026-07-28.

## Install

### How do I install the DeepPVMapper MCP server?

DeepPVMapper is a hosted endpoint at https://zelhliylrlktnasircwp.supabase.co/functions/v1/mcp/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

### Claude

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

### Cursor

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

### VS Code

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

### Codex

```toml
[mcp_servers.gabrielkasmi-deeppvmapper]
url = "https://zelhliylrlktnasircwp.supabase.co/functions/v1/mcp/mcp"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "gabrielkasmi-deeppvmapper": {
      "type": "remote",
      "url": "https://zelhliylrlktnasircwp.supabase.co/functions/v1/mcp/mcp",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add gabrielkasmi-deeppvmapper --url 'https://zelhliylrlktnasircwp.supabase.co/functions/v1/mcp/mcp' --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  gabrielkasmi-deeppvmapper:
    url: "https://zelhliylrlktnasircwp.supabase.co/functions/v1/mcp/mcp"
```

### Netclaw

```json
{
  "McpServers": {
    "gabrielkasmi-deeppvmapper": {
      "Transport": "http",
      "Url": "https://zelhliylrlktnasircwp.supabase.co/functions/v1/mcp/mcp"
    }
  }
}
```

### Vellum

```bash
assistant mcp add gabrielkasmi-deeppvmapper -t streamable-http -u 'https://zelhliylrlktnasircwp.supabase.co/functions/v1/mcp/mcp'
```

### Other

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

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-09-26 (score 62, 0)

- [functional improvement] Stability: unverified → 0.03

### 2026-09-25 (score 62)

First indexed and scored.

## MCP tools (8)

### `get_data_quality_reference` (~124 tokens)

Return 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 licensing/liability terms. Call this before advising how much to trust a result for a specific use case (e.g. exploratory research vs. a commercial or regulatory decision) — pair it with the quality_summary attached to search_detections / aggregate_detection_capacity results, which reflects the specific query rather than the registry as a whole.

### `get_department_capacity_stats` (~203 tokens)

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, pre-computed department-wide aggregate with no other filters — use aggregate_detection_capacity instead if you need a filtered subset (e.g. only cross-validated detections). Data quality note: this is a detection dataset, not an exhaustive inventory (estimated recall ~0.6). A missing detection does not mean no PV installation exists there. kwp, surface, tilt and azimuth are model estimates, not surveyed values. Call get_data_quality_reference for the full picture before assessing fitness for a specific use case.

Input parameters:

- `dpt` (string): French département code, e.g. "33" for Gironde. Omit for all départements.
- `top_n` (integer): If set and dpt is omitted, return only the top N départements by installed capacity.

### `get_department_yearly_stats` (~131 tokens)

Get 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 mean no PV installation exists there. kwp, surface, tilt and azimuth are model estimates, not surveyed values. Call get_data_quality_reference for the full picture before assessing fitness for a specific use case.

Input parameters:

- `dpt` (string): French département code, e.g. "33". Omit for all départements.

### `search_detections` (~386 tokens)

Search 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_detections_in_bbox instead for map/spatial queries with geometry). Data quality note: this is a detection dataset, not an exhaustive inventory (estimated recall ~0.6). A missing detection does not mean no PV installation exists there. kwp, surface, tilt and azimuth are model estimates, not surveyed values. Call get_data_quality_reference for the full picture before assessing fitness for a specific use case.

Input parameters:

- `cross_validated` (boolean): If true, only include detections confirmed by at least two independent sources (e.g. the automated DeepPVMapper pipeline plus OpenStreetMap or the FRPV reference dataset), not just a single pipeline.…
- `dpt` (string): French département code, e.g. "33".
- `insee` (string): INSEE commune code.
- `limit` (integer, required): Maximum number of records to return (max 200).
- `max_kwp` (number): Maximum estimated installed capacity, in kWp.
- `min_kwp` (number): Minimum estimated installed capacity, in kWp.
- `min_vintages` (integer): Minimum number of distinct imagery vintages (years) the installation was independently detected in. Use 2+ as a persistence/confidence signal, since a one-off detection in a single vintage is more li…
- `quality_filter` (boolean, required): If true (default), only include detections with frpv_proba >= 0.1, the threshold recommended in the data contract for a good precision/recall trade-off.

### `aggregate_detection_capacity` (~490 tokens)

Compute 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. Unlike get_department_capacity_stats, which is a fixed pre-computed département-wide aggregate with no other filters, this tool sums a live filtered subset, up to max_rows detections. Example: "installed capacity in Gironde confirmed by at least two sources" -> dpt="33", cross_validated=true. Data quality note: this is a detection dataset, not an exhaustive inventory (estimated recall ~0.6). A missing detection does not mean no PV installation exists there. kwp, surface, tilt and azimuth are model estimates, not surveyed values. Call get_data_quality_reference for the full picture before assessing fitness for a specific use case.

Input parameters:

- `cross_validated` (boolean): If true, only include detections confirmed by at least two independent sources (e.g. the automated DeepPVMapper pipeline plus OpenStreetMap or the FRPV reference dataset), not just a single pipeline.…
- `dpt` (string): French département code, e.g. "33".
- `insee` (string): INSEE commune code.
- `max_kwp` (number): Maximum estimated installed capacity, in kWp.
- `max_rows` (integer, required): Cap on the number of matching detection rows fetched to compute the capacity sum. If the true match count exceeds this, total_kwp is a partial lower bound and `truncated` is true — increase max_rows…
- `min_kwp` (number): Minimum estimated installed capacity, in kWp.
- `min_vintages` (integer): Minimum number of distinct imagery vintages (years) the installation was independently detected in. Use 2+ as a persistence/confidence signal, since a one-off detection in a single vintage is more li…
- `quality_filter` (boolean, required): If true (default), only include detections with frpv_proba >= 0.1, the threshold recommended in the data contract for a good precision/recall trade-off.

### `get_detections_in_bbox` (~187 tokens)

Get 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 detection does not mean no PV installation exists there. kwp, surface, tilt and azimuth are model estimates, not surveyed values. Call get_data_quality_reference for the full picture before assessing fitness for a specific use case.

Input parameters:

- `max_count` (integer, required): Maximum number of detections to return (max 500 here; the underlying API defaults to 2000, capped lower to keep responses manageable for an LLM).
- `max_lat` (number, required)
- `max_lon` (number, required)
- `min_lat` (number, required)
- `min_lon` (number, required)

### `get_community_activity` (~108 tokens)

Get 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 intentionally excluded from this tool. This reflects unmoderated, unverified user activity, not the registry itself — do not present it as confirmed detection data.

Input parameters:

- `recent_limit` (integer, required): How many of the most recent pending contributions to list.

### `get_community_activity_in_area` (~323 tokens)

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 independent filters: dpt finds pending edits/deletions (action=modify/delete) targeting existing detections in that département; a full bounding box (min_lon/min_lat/max_lon/max_lat) finds pending new additions (action=add) whose proposed footprint centroid falls inside it. Combine with get_department_capacity_stats / search_detections / get_detections_in_bbox for the confirmed registry picture, and present this separately and clearly as unverified, pending community input — not confirmed detection data. Free-text comments are never included.

Input parameters:

- `dpt` (string): Filter pending edits/deletions of EXISTING detections (action=modify or delete) to this département. Does not apply to proposed new additions (action=add), which have no département recorded on the p…
- `max_lat` (number)
- `max_lon` (number)
- `min_lat` (number)
- `min_lon` (number)
- `recent_limit` (integer, required): Maximum number of matching items to return per category.
- `scan_limit` (integer, required): How many recent proposed additions (action=add) to scan for a bbox match. Only relevant when all four bbox parameters are given — there is no server-side spatial index on pending items, so matching i…

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/gabrielkasmi-deeppvmapper/functions-v1-mcp-mcp#diagnostics

## Score history

- 2026-09-26: 62
- 2026-09-25: 62

## Common questions

### What is the DeepPVMapper MCP server?

DeepPVMapper is an MCP server listed in the public MCP registry as io.github.gabrielkasmi/deeppvmapper. Open registry of 1.14M+ rooftop-solar detections across France, queryable by natural language. This page covers its hosted endpoint (https://zelhliylrlktnasircwp.supabase.co/functions/v1/mcp/mcp).

### Is the DeepPVMapper MCP server safe to use?

DeepPVMapper scores 62 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

### What tools does the DeepPVMapper MCP server expose?

DeepPVMapper exposes 8 tools: get_data_quality_reference, get_department_capacity_stats, get_department_yearly_stats, search_detections, aggregate_detection_capacity, and 3 more. Their descriptions and schemas cost roughly 1,952 tokens of context every time the server is loaded.

### Does the DeepPVMapper MCP server require authentication?

No. We connected to DeepPVMapper without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

### Is the DeepPVMapper MCP server still maintained?

DeepPVMapper is still listed as active in the MCP registry. We last reached this channel on 26 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

## Links

- Remote endpoint: https://zelhliylrlktnasircwp.supabase.co/functions/v1/mcp/mcp
- Repository: https://github.com/gabrielkasmi/deeppvmapper
- Website: https://deeppvmapper.fr/
- Changelog RSS feed: https://verifymcp.io/servers/gabrielkasmi-deeppvmapper/functions-v1-mcp-mcp.xml
- Changelog JSON feed: https://verifymcp.io/servers/gabrielkasmi-deeppvmapper/functions-v1-mcp-mcp.json
- HTML version of this page: https://verifymcp.io/servers/gabrielkasmi-deeppvmapper/functions-v1-mcp-mcp