Model Context Protocol
Give Claude, GPT, and AI agents instant access to parcel data. Query properties by address, APN, or location — all through natural language.
The Model Context Protocol (MCP) is an open standard developed by Anthropic that enables AI systems to connect to external data sources and tools. Think of it as a universal adapter that lets AI agents discover and use capabilities without custom integration code.
For parcel data, MCP eliminates the friction of reading API docs, writing HTTP clients, and handling authentication. Your AI agent sees available tools, understands what they do, and calls them as needed during conversations.
User: "I'm looking at a property at 550 South Hope Street in Los Angeles. What can you tell me about it?" Claude: "I'll look up that property for you." [Claude calls lookup_parcel_by_address] "Here are the details for 550 S Hope St, Los Angeles, CA: • APN: 5139-017-020 • Parcel Size: 1.24 acres • Land Use: Commercial Office • Year Built: 1983 • Total Value: $127.5M • Owner: Brookfield Properties LP • Zoning: C2-1 Commercial"
Traditional API integration takes hours. MCP takes minutes.
AI agents discover and call parcel data tools automatically. No API documentation to read, no authentication code to write.
Ask "Who owns 550 S Hope St in Los Angeles?" and get parcel details, ownership, and value data instantly.
AI agents can query parcel data, then use results to call other tools — analyze, visualize, or enrich automatically.
Install the MCP server once. AI handles the rest: parameter mapping, error handling, and response formatting.
AI agents can call these tools directly based on your natural language requests.
Query parcel data by street address
"Find the parcel at 123 Main St, Austin, TX"
Query by Assessor Parcel Number (APN)
"Get details for APN 5139-017-020 in Los Angeles County"
Find parcels within radius of coordinates
"Show me parcels within 500m of 30.2672, -97.7431"
Get owner name and mailing address
"Who owns the property at this parcel ID?"
Get assessed and market value data
"What is the assessed value of this property?"
Three steps to connect AI agents to parcel data.
Sign up at getparceldata.com and request a free sample or purchase a data package. Your API key will be available in your account dashboard.
Download and configure the GetParcelData MCP server with your API key.
{
"mcpServers": {
"getparceldata": {
"command": "node",
"args": ["/path/to/getparceldata-mcp-server.js"],
"env": {
"GETPARCELDATA_API_KEY": "your_api_key_here"
}
}
}
}Open Claude Desktop and start asking questions about properties. The AI will automatically use the MCP tools to retrieve parcel data.
How teams are using parcel data with AI agents.
AI agents can research properties, pull comparable sales data, and generate investment summaries automatically.
Query parcel boundaries, ownership, and zoning to pre-qualify solar installation sites without manual research.
Instant property details for risk assessment: construction year, square footage, land use, and flood zone data.
Retail expansion teams query parcel data by geography to analyze competition, demographics, and site viability.
The GetParcelData MCP server provides access to our complete US parcel database — 160+ million parcels across 3,000+ counties, normalized into a unified schema.
Everything you need to know about using parcel data with AI agents.
Get started with a free API key and connect your AI agents to 160M+ US parcels in minutes.