Connect Claude AI to Canada's Largest Property Database: The Ultimate MCP Integration Guide

Alex Wilkinson

CEO of Houski

2026-01-05

Summary: Houski now offers a Model Context Protocol (MCP) server for Canadian property data. Connect Claude AI directly to 19+ million properties with 200+ data points each. Get market analysis, valuations, investment insights, and neighborhood intelligence through natural conversation.

Houski's Model Context Protocol (MCP) server gives Claude direct access to 19+ million Canadian properties, queried on demand against a daily-refreshed dataset.

This transforms property analysis from manual research to instant AI-powered insights via natural conversation. For investment evaluation, market analysis, or due diligence, Claude can now query Canada's most comprehensive property database on demand.

What is Model Context Protocol (MCP)?

MCP is Anthropic's standard for connecting AI assistants to external data and tools. A direct pipeline between Claude's reasoning and the Houski API: no manual request wrangling, no formatting headaches, just natural language queries.

Instead of:

Opening Houski's website
Searching for properties
Copying data to a spreadsheet
Asking Claude to analyze it
Going back for more data
Repeating endlessly...

Just ask Claude: "Which Hamilton census tracts have a median household income above $100K and an average construction year before 1980? Return them ranked by detached-home count."

Why This Changes Everything for Analysts, Researchers, and Public-Sector Teams

For Government and Public-Sector Analysts

Before MCP:

Hand-pulled extracts from a dozen municipal portals
Inconsistent fields, units, and address formats across regions
Slow turnaround on policy briefs and council requests
Hard to combine planning, demographic, and hazard data

With Houski MCP:

One uniform schema across every Canadian region
Natural-language queries: "How many pre-1960 detached homes in Halifax sit in flood-score-below-4 zones?"
Reproducible briefs you can re-run on next month's data
Direct path from policy question to defensible numbers

For Business Analysts and Business-Intelligence Teams

Before MCP:

Spreadsheet-by-spreadsheet stitching of property exports
Manual normalisation before anything hits Power BI or Tableau
Limited ability to enrich internal records with external context
Slow ad-hoc questions stuck in the analyst queue

With Houski MCP:

Address-level enrichment for any portfolio, book, or customer list
Natural-language drilldowns Claude executes as structured queries
Consistent fields that drop straight into existing dashboards
Underwriting, risk, and segmentation analysis at conversation speed

For Marketing and Direct-Mail Optimisation

Before MCP:

Generic geo-targeting at the postal-code level
Wasted spend on unqualified households
Manual list-pull cycles with the data team
No way to combine property attributes with demographic signals in one query

With Houski MCP:

Property-level audience segmentation: roof age, heating type, lot size, score thresholds
Natural-language list building: "Detached homes in Calgary with electric furnaces and a pre-1990 construction year, in census tracts with median income above $90K"
Instant counts before you commit to a campaign budget
Drop-in feeds for direct-mail and customer-relationship-management segmentation pipelines

How to Set Up Houski MCP Integration

Prerequisites

Claude Desktop App (latest version) or Claude.ai account
Houski API Access - Get your API key here

Option 1: Custom Connectors (available in Claude settings)

The easiest way is Claude's built-in Custom Connectors:

Open Claude Desktop or go to claude.ai
Navigate to Settings → Connectors
Click "Add custom connector"
Enter the Houski MCP server URL: https://www.houski.ca/mcp
Click "Add" to complete setup

Done. Claude can now query the database on demand.

Option 2: Configuration File (Claude Code command line interface (CLI) or local config)

Use the mcp-remote package to connect.

On macOS: ~/Library/Application Support/Claude/claude_desktop_config.json On Windows: %APPDATA%\Claude\claude_desktop_config.json

JSON

{
  "mcpServers": {
    "houski-property-data": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "https://www.houski.ca/mcp"
      ]
    }
  }
}

Your key is not part of the connection. Every Houski tool takes an api_key argument of its own, so paste your key from your dashboard into your project instructions (or hand it over when Claude asks) and it travels with each call.

Verify the Connection

Restart Claude Desktop (if using config method)
Look for Houski tools in the tool selector
Test: "What's the median list price in Vancouver this month?"

Advanced Configuration Options

Protocol Revisions

The server is a streamable Hypertext Transfer Protocol (HTTP) endpoint and negotiates whatever revision of the protocol your client speaks, from the original 2024-11-05 through the current 2026-07-28. Clients on 2026-07-28 are served without sessions, so each request stands alone and there is no connection to keep alive. Older clients get the handshake they expect. You do not have to pin a version or change anything as your client updates.

Enterprise Setup

For teams, see our pricing page. Questions? Contact us.

What Data Can Claude Access?

Property-Level Data

Physical Characteristics: Bedrooms, bathrooms, square footage, lot size, construction year
Financial Data: Assessed values, estimated property taxes (mill rate times assessed value), list prices, automated valuation model (AVM) estimates
Location Intelligence: Exact coordinates, neighborhood boundaries, transit access
Property History: Assessment changes, listing history, permits, zoning data

Market Analytics

Price Trends: Historical pricing, appreciation rates, market velocity
Inventory Levels: Active listing counts, days on market, listing history
Demographic Data: Population density, income levels, age distributions
Economic Indicators: Employment rates, development activity, permit activity

Derived Insights

Valuation Models: Automated property valuations with confidence scores
Investment Metrics: Cap rate inputs (rent and sale estimates), cash flow inputs, and historical valuation trajectories
Risk Indicators: Climate safety scores, area benchmarks, listing activity history
Opportunity Detection: Undervalued properties, emerging communities, development potential

Power User Techniques

Complex Market Analysis

"Compare the investment potential of duplexes in Calgary's Kensington 
vs Toronto's Leslieville. Include cash flow analysis, appreciation 
trends, and local market dynamics."

Portfolio Optimization

"I own properties at [list addresses]. Analyze my portfolio's 
geographic and property type diversification. Suggest 2-3 additional 
acquisitions to optimize risk-adjusted returns."

Development Site Selection

"Find residential development opportunities in Vancouver suburbs where:
- Land costs are under $200/sqft
- Zoning allows 4+ units
- Transit scores exceed 7
- 3-year price appreciation exceeds 15%"

Automated Due Diligence

"Perform comprehensive due diligence on 123 Main St, Toronto. Include:
- Comparative market analysis
- Neighborhood trend analysis  
- Investment potential assessment
- Risk factors and red flags"

Security and Privacy

Data Protection

Transport layer security (TLS) encrypted transport between Claude and Houski
Uses your existing API key and its permissions
We sell property data, not personal data: no homeowner names, phone numbers, or contact info

Access Controls

API key-based authentication
Rate limiting

Pricing

Personal Use and Small Business

For revenue under $2 million:

$99/month minimum - Pay-as-you-go on data returned
Cancel anytime
Usage dashboard refreshed every 12 hours

Enterprise

For revenue over $2 million:

Annual contracts with unlimited usage
Assigned implementation engineer
Priority support

View detailed pricing

Development Site Selection: "Find residential development sites in Calgary where land costs, zoning, and market dynamics support strong project returns."

Getting Started: Your First 24 Hours

Hour 1: Basic Setup

Install MCP server
Configure Claude Desktop
Test basic queries

Hours 2-4: Explore Core Features

Try property searches and valuations
Run market analysis queries
Test neighborhood comparisons

Hours 4-8: Advanced Techniques

Multi-criteria searches
Portfolio analysis commands
Predictive modeling

Hours 8-24: Real-World Application

Apply to your properties
Develop query templates
Share with colleagues

Troubleshooting Common Issues

"Houski server not responding"

Verify you can reach https://www.houski.ca/mcp
Check your API key at your dashboard
Custom Connectors: remove and re-add
Config file: ensure mcp-remote is installed (npx mcp-remote --version)

"Authentication failed"

Verify your key is correct and active
Check it has credits
Confirm Authorization header format

"No property data found"

Search within Canadian markets
Check city/neighborhood spelling
Broaden criteria

"Rate limit exceeded"

Upgrade your plan
Space out queries
See pricing for enterprise options

The Future of AI-Powered Real Estate

Coming soon:

Enhanced Analytics

Predictive market modeling
Investment opportunity scoring
Risk assessment automation
Portfolio optimization recommendations

Expanded Integrations

Municipal data integration
Economic indicator feeds
Environmental and climate data

Advanced AI Features

Automated property descriptions
Investment pitch generation
Market report creation
Due diligence automation

Get Started Today

Sign up for a Houski API account
Get your API key
Add Houski as a Custom Connector in Claude Settings → Connectors using https://www.houski.ca/mcp
Start asking questions

Resources

MCP Documentation - Technical documentation
API Documentation - Full reference and examples
Contact Us

Get started with Houski MCP today.

See more blog posts →

Account

Data products

Industries

Explore

Company

Account

Connect Claude AI to Canada's Largest Property Database: The Ultimate MCP Integration Guide