The first MCP service for UK housing
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.
The Model Context Protocol (MCP) is an open standard that lets AI assistants connect to live data sources — securely and in real time. Think of it as giving your AI a library card to official government databases.
Housing professionals spend hours searching gov.uk, downloading spreadsheets, and cross-referencing data from different sources. AI tools like ChatGPT can’t access this data — they can only work with what they were trained on, which may be out of date.
MCP gives AI assistants a secure, structured way to query official data sources directly. Instead of guessing, your AI reads the actual government data — EPCs, social housing stock figures, house prices — and gives you answers with full source attribution.
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.
From board-level strategy to frontline service delivery, OpenHousing.AI helps everyone make faster, better-informed decisions.
Instantly benchmark your stock against peers. Identify EPC compliance gaps across your portfolio. Analyse rent levels against local market data. Prepare board reports in minutes, not days.
Build comprehensive housing profiles for your area. Track affordability trends. Monitor new supply against demand. Evidence-base your housing strategy and planning decisions with live data.
Access cross-sector data instantly for policy analysis. Monitor provider performance. Assess MEES compliance at national scale. Enable evidence-based regulation with current data.
Better data means better services. When your landlord can instantly identify energy efficiency issues, plan maintenance proactively, and benchmark rents fairly — residents get warmer, safer, more affordable homes.
Query housing data programmatically for research. Combine EPC data with affordability metrics. Build reproducible analyses without manual data wrangling. Access the same data as government.
Integrate housing data into your own AI products, internal copilots, or chatbots via a standard protocol. No custom APIs to learn — any MCP-compatible system connects out of the box.
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.
Registration takes under two minutes. You’ll need a government, public sector, or non-profit email address.
Sign in with your Google account using a .gov.uk, .org.uk, .org, .nhs.uk, or .ac.uk email address.
After verification, you’ll receive an API key. This identifies your organisation when connecting AI tools to the service.
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.
Every piece of data served by OpenHousing.AI comes from official UK government sources, published under open licences. Sources are cited in every response.
25 million+ Energy Performance Certificates for domestic buildings across England and Wales. Updated continuously.
Stock data from every registered social housing provider in England. Property types, rents, vacancies, and Right to Buy. Published annually.
House price indices, private rental statistics, affordability ratios, and new build supply data. Monthly, quarterly, and annual updates.