Secrets.RealEstate
French address intelligence: 18.6M sold prices, energy, risk, crime and schools — each sourced.
Documentation
Secrets.RealEstate
In development
Property intelligence for your AI agent
Connect Claude Code, Cursor and any MCP client to a full, verified report on any French address — up to 36 building insights across energy, risks, market, neighbourhood and regulation, each with advice and its source — in plain language.
What it is
An MCP (Model Context Protocol) server so your AI assistant pulls real, verified property facts instead of guessing. Ask about an address and get building energy ratings, risk exposure, sold comparables and neighbourhood data — grounded in official French sources.
Why grounded data
Your agent pulls verified facts from official French registries instead of guessing. Every answer traces back to a public record — building energy, risk and market data — so the model reports what is on file rather than inventing it.
Our research on AI-grounded real-estate analysis holds a certificate (Bescheinigung) from the Bescheinigungsstelle Forschungszulage (BSFZ) confirming it as eligible R&D under the German Research Allowance Act (Forschungszulagengesetz).
8
official public datasets
96
départements — all of France
36
insights per address
0
guesses — every fact traces to a public record
Connect in seconds
Add the server to your MCP client, then ask in plain language.
# Add the server with your API key
claude mcp add secrets-realestate \
--transport http https://secrets.realestate/mcp \
--header "X-API-Key: sk_live_…"
Works with Claude Code, Cursor and any MCP-compatible client.
Every tool needs an API key — request one in the developer console (PRO or SELLER plan plus a one-time approval).
Tools
Paid access
Grouped by domain. Every tool needs an API key, available on PRO and SELLER plans after a one-time approval.
Search & data
search_properties
Find listings by location, price, size and more.
geocode_address
Turn an address into coordinates.
get_listing
Full facts for a single listing.
get_my_listings
Retrieve the properties saved to your own account.
Market
get_comparable_sales
Recent sales with price, size and a liquidity score.
get_price_trends
Price-per-square-metre trend history.
get_location_rating
Mean price, net rent and related location metrics.
Location & environment
get_air_quality
Air-quality index and grade.
get_seasonal_climate
Seasonal temperature profile.
get_neighborhood
Amenities, schools, leisure, safety and water quality.
get_noise
Road, rail and industry noise exposure with direction.
Insights
get_building_insights
Full report: up to 36 categorised insights with detail and advice.
get_risk_assessment
Natural and technological risks: flood, seismic, clay, radon.
get_renovation_advice
Renovation plan: energy and insulation fixes, most urgent first.
get_property_report
One-call bundle: insights, comparables, market, risks and environment.
Deep coverage spans every French département, joined from eight official public datasets — BDNB, IRIS, SSMSI, GeoRisques, Hub'Eau, Éducation IVAL, OpenStreetMap and DVF. More markets later.
Every tool is read-only and idempotent, returns typed JSON, and accepts an address, coordinates or a listing id.
View the full tool reference
Request and response
Every tool takes an address, coordinates or a listing id and returns structured JSON.
Analyse 12 rue de Rivoli, Paris — energy, risks and recent sales.
Request
get_risk_assessment({
address: "12 rue de Rivoli, Paris",
lang: "en"
})
Response
{
"address": "12 rue de Rivoli, Paris",
"latitude": 48.856614,
"longitude": 2.358980,
"risks": {
"flood": "low",
"seismic": "very low",
"clay": "medium",
"radon": "low"
}
}
Pass an address and the tool returns typed JSON your agent reads directly — here, the natural-risk grades on file for that building.
What you can build
Due diligence
Surface energy, risk and regulatory flags for any address in one prompt.
Powered by
get_building_insightsget_risk_assessment
Valuation grounding
Ground your pricing model in verified comparables and trends, not guesses.
Powered by
get_comparable_salesget_price_trends
Agent enrichment
Give your copilot real building facts, so answers are grounded, not invented.
Powered by
get_building_insightsget_neighborhood
Underwriting and insurance
Score natural and technological risk per address for lending and insurance.
Powered by
get_risk_assessmentget_building_insights
Search and shortlist
Filter listings by location, price and size, then rank the shortlist by location quality.
Powered by
search_propertiesget_location_rating
Livability scoring
Combine air quality and noise exposure into a livability profile for any address.
Powered by
get_air_qualityget_noise
Access & pricing
Membership
A PRO or SELLER plan unlocks every tool from your editor once your developer access is approved.
Developer
Pay-as-you-go per-call pricing for high-volume integrations is planned. Today, all access runs through PRO and SELLER plans.
Questions
What is MCP?
The Model Context Protocol is an open standard that lets AI assistants call external tools. Add our server and your agent pulls property data directly.
Which clients work?
Any MCP-compatible client, including Claude Code and Cursor.
What does it cover?
In France it goes deep: building energy and DPE status, natural and technological risk exposure (flood, seismic, clay, radon), recent sold comparables, and neighbourhood signals such as noise, air and water quality — all grounded in official French public data (BDNB, GeoRisques, DVF). Outside France, tools clearly report that the area is out of coverage rather than guessing, and more markets will follow.
How do I get access?
Subscribe to a PRO or SELLER plan and request developer access in the developer console. Once an administrator approves it, generate your API key and connect your MCP client.
MCP
Start building
Request developer access, generate an API key and connect your MCP client.
Get your API key View the full tool reference
Secrets.RealEstate
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