Immo Mcp — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Immo Mcp (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
An MCP (Model Context Protocol) server for French real-estate market analysis, built exclusively on open data sources. No third-party site automation.
| Source | What it provides |
|---|---|
| DVF Etalab | All notarised property transactions in France (2018-present) |
| OpenDataSoft DVF API | Same DVF data, queryable without a local DB |
| ADEME DPE-v2 | Energy-performance certificates (DPE) |
| Géorisques | Flood, seismic, radon, ICPE risk data |
| CRE | Regulated electricity tariffs |
| INSEE | Postal code → INSEE commune lookup |
| Nominatim / Overpass OSM | Geocoding and points of interest |
| Tool | Description |
|---|---|
dvf | Search DVF transactions by city / postal code / department |
dvf_stats | Aggregate price statistics from DVF (median, p25/p75, …) |
dvf_db_info | Report on the local DuckDB DVF database |
pappers_immo | DVF statistics via the OpenDataSoft public API |
detect_underpriced | Compare a market segment against DVF + ODS reference prices |
dpe | Search DPE certificates by city or postal code |
georisques | Risk analysis for a location (flood, seismic, radon, ICPE) |
list_georisques_kinds | List available Géorisques risk categories |
electricity_tariff | Fetch current regulated electricity tariffs (CRE) |
insee_lookup | Resolve a postal code to its INSEE commune codes |
geocode | Forward geocode an address via Nominatim |
pois | Search points of interest around a location (OSM Overpass) |
list_poi_categories | List available POI category presets |
listings_stats | Compute price statistics on a list of listings |
listings_gap | Annotate listings with gap-from-median percentage |
python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txtFor faster, offline DVF queries you can build a local DuckDB:
# Requires Docker
cd docker/dvf
DVF_HOST_DATA_DIR=~/.immo-mcp/dvf docker compose upThe MCP server will look for the database at ~/.immo-mcp/dvf/dvf.duckdb. Without it, the dvf tool falls back to the OpenDataSoft API automatically.
python -m immo_mcp.serverAdd to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS):
{
"mcpServers": {
"immo-mcp": {
"command": "/path/to/.venv/bin/python",
"args": ["-m", "immo_mcp.server"]
}
}
}| Variable | Default | Description |
|---|---|---|
DVF_DB_PATH | ~/.immo-mcp/dvf/dvf.duckdb | Path to local DuckDB DVF file |
IMMO_CACHE_DB | ~/.immo-mcp/listings.db | SQLite listing cache |
pip install -r requirements.txt
pytestMIT — see LICENSE.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.