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Immo

БесплатноНе проверен

Analyzes French real-estate market using open data sources like DVF transactions, DPE certificates, and risk data.

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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.

from github.com/WardenPro/immo-mcp

Установка Immo

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/WardenPro/immo-mcp

FAQ

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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