Open MCP access
Connect approved REalyse property-data capabilities through the open Model Context Protocol.
Product · 04 · AI & MCP
Trusted property data, inside your AI.
REalyse MCP makes approved property-data capabilities available to any compatible AI assistant or agent framework. Your team composes them into its own tools, agents, and workflows, with no bespoke integration to build.
The Workflow Shift
From bespoke integrations to callable tools.
TodayWith MCP
Connect
TodayAI assistants can reason over your instructions, but they can't use trusted property data without a bespoke integration to build and maintain.
With MCPREalyse MCP makes approved property-data capabilities available to any compatible AI host over the open Model Context Protocol, with no pipeline to build.
Analyse
TodayCopying data between systems breaks the flow of research and makes governed, repeatable analysis hard to reproduce.
With MCPYour team discovers and calls REalyse tools from inside its AI workspace, so there are no manual hand-offs between conversation, analysis, and data.
Compose
TodayA fixed set of pre-built prompts holds back specialist teams that want to build their own property workflows, agents, and internal tools.
With MCPCompose REalyse tools into your own prompts, agents, and internal tools, with access controlled at the connection layer.
Trusted by leading organisations
A week of BTR analysis, in three prompts.
Watch an MCP-connected assistant bring together live rents, yields, planning, demographics, affordability, and individual comparables to answer an investment-committee question in a single conversation.
Live MCP output · Build to Rent
Interactive example using MCP tool outputs. Open full screen for charts, tables, and scenario controls.
From data to agent
01
Connect
Add REalyse as an MCP server in your AI assistant or agent framework. One connection, no pipeline to build.
02
Discover
Your approved property-data tools appear in the AI host, ready to call.
03
Compose
Chain those tools into your own prompts, agents, and repeatable analysis workflows.
04
Run
Pull structured property data into the conversation and act on it, all inside your existing stack.
Use Cases
Where teams apply AI & MCP.
- 01Property research inside AI assistants
Bring REalyse property research into the assistant your team already works in.
- 02Conversational market and location analysis
Ask market and location questions and get structured property data back.
- 03Custom underwriting and due-diligence agents
Build agents that run underwriting and due-diligence checks against REalyse data.
- 04Team-specific tools built on REalyse capabilities
Compose REalyse tools into internal tools shaped around your team's workflows.
Capabilities
AI & MCP capabilities.
Governed property-data tools for the AI assistants, agents and internal workflows your team already uses.
Automatic tool discovery
Let compatible AI clients identify the tools available to each connection.
Structured tool responses
Give assistants and agents reliable inputs and outputs they can reason over.
Account-scoped controls
Keep access governed at the connection layer for each account and workflow.
Broad AI compatibility
Use REalyse with MCP-capable assistants, agent frameworks and internal AI hosts.
Composable building blocks
Combine property-data tools into custom prompts, agents and repeatable processes.
Works alongside
Products that pair with AI & MCP.
Every REalyse product runs on the same property data foundation, so adding a second product extends the first rather than duplicating it.
- Research
Core
Bring Core research capabilities into conversational, AI-assisted property workflows.
Explore Core - Monitor
Pulse
Use AI-assisted workflows to investigate and act on the market movements Pulse monitors.
Explore Pulse - Integrate
API
Combine MCP tools with direct API access for custom applications, models and data pipelines.
Explore API
Frequently Asked Questions
The Model Context Protocol is an open standard that lets compatible AI applications discover and use external tools and data sources through a consistent interface.
REalyse MCP is designed for AI assistants and agent frameworks that support the Model Context Protocol. Compatibility depends on the MCP support and configuration options available in the host you use.
The API is intended for developers making direct HTTP requests from applications and data pipelines. MCP exposes approved capabilities as discoverable tools that compatible AI hosts can select and call within an AI workflow.
Yes. Teams can combine the REalyse tools available to their account with their own instructions, prompts, agents, and business processes to create specialist workflows.
No. Available tools and data access are governed by the connection and the permissions assigned to your organisation.
Ready to connect property intelligence to your AI workflow?
Book a demo to discuss MCP access, compatible hosts, and the tools your team wants to build.