The first MCP service for UK housing
SocialHousing.ai

Connect your AI systems
to UK housing data

OpenHousing.AI is a centralised data service that any organisation can plug into. Connect your own AI systems, chatbots, copilots, or internal tools to official UK government housing data — in real time, through one standard interface.

What is MCP and why does it matter for housing?

The Model Context Protocol (MCP) is an open standard that lets AI systems connect to live data sources — securely and in real time. The key innovation is tools: specialised functions that give AI the ability to search, retrieve, compare, and analyse specific datasets. Without tools, AI can only guess. With tools, it queries the actual data.

The Problem Today

Housing professionals spend hours searching gov.uk, downloading spreadsheets, and cross-referencing data from different sources. AI systems can’t access this data on their own — they can only work with what they were trained on, which may be out of date or incomplete.

Tools with Reliable Data

MCP works through tools — specialised functions that connect AI to specific, verified data sources. OpenHousing.AI provides 10 purpose-built tools linked to 3 official government datasets: Energy Performance Certificates (25M+ records), RSH social housing stock data (every registered provider), and ONS housing statistics (prices, rents, affordability, supply). Each tool returns structured, sourced, and timestamped data — not guesswork.

Why It’s Safe

All data comes from official government sources under open licences. The AI reads the data but cannot change it. Your queries are not stored. Every response includes the source, licence, and retrieval timestamp so you can verify.

How organisations and residents benefit

From board-level strategy to frontline service delivery, OpenHousing.AI helps everyone make faster, better-informed decisions.

Government & Regulators

Access cross-sector housing data instantly for policy analysis and regulatory oversight. Monitor provider performance nationally, assess MEES compliance at scale, and enable evidence-based decision-making across the housing sector with current, structured data.

Local Authorities

Build comprehensive housing profiles for your area. Track affordability trends, monitor new supply against demand, and evidence-base housing strategy and planning decisions. Compare your borough against neighbours using the same data central government sees.

Housing Associations & Landlords

Benchmark your stock against peers instantly. Identify EPC compliance gaps across your portfolio, analyse rent levels against local market data, and prepare board reports in minutes. Data-driven asset management starts here.

Residents

When landlords, councils, and government make better decisions with better data, residents benefit directly — warmer homes through targeted EPC retrofits, fairer rents benchmarked against real market data, faster repairs prioritised by need, and more transparent accountability across the sector.

Researchers & Academics

Query housing data programmatically for research. Combine EPC data with affordability metrics, build reproducible analyses without manual data wrangling, and access the same structured data as government — through a standard, open protocol.

Technology Teams

Integrate housing data into your organisation’s AI products, internal copilots, or resident-facing chatbots via a standard protocol. No custom APIs to learn — any MCP-compatible system connects out of the box.

What your AI systems can do

OpenHousing.AI currently provides 10 tools connected to 3 official government datasets. Each tool is a specialised function your AI calls to query real data — and this is just the beginning. The tools and data sources will continue to expand as new government datasets come online. This early access gives your organisation the opportunity to understand, experience, and start using this resource ahead of the curve.

Energy Performance

EPC Open Data · 25M+ certificates · Updated continuously

search_epcSearch EPCs by postcode, address, local authority, energy band, or property type
get_epc_by_uprnFull EPC history for a specific property using its Unique Property Reference Number
get_epc_statisticsAggregated EPC statistics for any local authority — band distribution, compliance rates, retrofit needs

Social Housing Stock

RSH Statistical Data Return · Every registered provider · Annual

search_rsh_stockSearch social housing stock by provider or local authority — units, tenure types, bedroom counts
get_provider_profileComprehensive provider profile — stock, rents, vacancies, RTB sales, geographic spread
compare_providersSide-by-side comparison of 2–5 housing providers across all key metrics

Housing Market & Supply

ONS Housing Statistics · Prices, rents, affordability, supply · Monthly/quarterly

get_house_pricesHouse price indices, average prices, and annual change for any UK location
get_rental_dataPrivate rental market — monthly rents by bedroom count with percentile breakdown
get_affordabilityHousing affordability ratios — house price to earnings, median and lower quartile
get_housing_supplyNew build starts, completions, and net additional dwellings by tenure type

See real data, live

Click any example below to query the service and see the actual data it returns. This is the same data your organisation’s AI systems would receive when connected.

Compare the stock profile of Clarion Housing and Peabody
Side-by-side comparison of two major housing associations — total stock, property types, bedroom mix, average rents, vacancies, and Right to Buy sales.
compare_providers
How affordable is housing in Bristol?
ONS affordability ratios (house price to earnings), showing how housing costs compare to local incomes and the trend over time.
get_affordability
What are average private rents in Barking and Dagenham?
Private rental market statistics with median, lower quartile, and upper quartile monthly rents.
get_rental_data
House prices in London
UK House Price Index data for London — average prices, annual change, and month-by-month trends from ONS official statistics.
get_house_prices
New affordable homes completed in London
ONS housing supply data showing starts, completions, and net additional dwellings for the London region.
get_housing_supply
Full profile of L&Q Housing
Comprehensive provider profile — total stock, property types, bedrooms, rents, vacancies, RTB sales, and geographic spread.
get_provider_profile

Results

Querying live data…
Note: These are live queries against the same service your AI systems would use. OpenHousing.AI is a centralised MCP endpoint — any organisation can connect their own AI tools, chatbots, copilots, or internal systems and access the same authoritative UK housing data.

Three steps to get started

Registration takes under two minutes. You’ll need a government, public sector, or non-profit email address.

1

Register

Sign in with your Google account using a .gov.uk, .org.uk, .org, .nhs.uk, or .ac.uk email address.

2

Get Your Key

After verification, you’ll receive an API key. This identifies your organisation when connecting AI tools to the service.

3

Connect & Query

Connect the service to your organisation’s AI systems, copilots, or any MCP-compatible tool. Start querying UK housing data programmatically or in plain English.

Official government data, always current

Every piece of data served by OpenHousing.AI comes from official UK government sources, published under open licences. Sources are cited in every response.

Energy

EPC Open Data

25 million+ Energy Performance Certificates for domestic buildings across England and Wales. Updated continuously.

RSH Statistical Data Return

Stock data from every registered social housing provider in England. Property types, rents, vacancies, and Right to Buy. Published annually.

Market Data

ONS Housing Statistics

House price indices, private rental statistics, affordability ratios, and new build supply data. Monthly, quarterly, and annual updates.