Immo
БесплатноНе проверенAnalyzes French real-estate market using open data sources like DVF transactions, DPE certificates, and risk data.
Описание
Analyzes French real-estate market using open data sources like DVF transactions, DPE certificates, and risk data.
README
An MCP (Model Context Protocol) server for French real-estate market analysis, built exclusively on open data sources. No third-party site automation.
Data sources
| 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 |
MCP tools
| 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 |
Quick start
1. Install
python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
2. (Optional) Build a local DVF database
For faster, offline DVF queries you can build a local DuckDB:
# Requires Docker
cd docker/dvf
DVF_HOST_DATA_DIR=~/.immo-mcp/dvf docker compose up
The 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.
3. Start the server
python -m immo_mcp.server
4. Connect from Claude Desktop
Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS):
{
"mcpServers": {
"immo-mcp": {
"command": "/path/to/.venv/bin/python",
"args": ["-m", "immo_mcp.server"]
}
}
}
Environment variables
| 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 |
Development
pip install -r requirements.txt
pytest
License
MIT — see LICENSE.
Установка Immo
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/WardenPro/immo-mcpFAQ
Immo MCP бесплатный?
Да, Immo MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Immo?
Нет, Immo работает без API-ключей и переменных окружения.
Immo — hosted или self-hosted?
Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.
Как установить Immo в Claude Desktop, Claude Code или Cursor?
Открой Immo на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
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