PropertyLens exposes its full suite of property data APIs through a Model Context Protocol (MCP) server, giving insurers, MGAs, and other property-risk stakeholders a fundamentally different way to integrate.
Instead of reading through static API documentation, writing boilerplate HTTP clients, and iterating on field mappings, your engineering team -- or an AI coding assistant -- can connect directly to the MCP server and work interactively. The server publishes complete endpoint signatures, authentication flows, and response schemas as structured resources, and provides tools to authenticate and test live API calls in-context.
What this means:
- Faster integration builds. An AI assistant connected to the MCP server already understands every PropertyLens endpoint, every field in every schema, and how authentication works. Engineers can describe what they need in natural language -- "pull replacement cost estimates and hazard grades for this book of addresses" -- and the assistant generates working integration code against the real API, not a hallucinated version of it.
- Self-documenting exploration. Before writing a single line of code, teams can use the MCP tools to authenticate with their credentials and make test calls against live endpoints. The full response structure comes back in-context, so the assistant can immediately map fields to your internal data model -- FEMA flood zones to your underwriting risk tiers, roof condition grades to your inspection workflow, permit history to your renovation flags.
- Reduced integration risk. Because the MCP server serves canonical schemas, there is no drift between what the docs say and what the API returns. The AI works from the same source of truth as the API itself, which eliminates an entire class of bugs that come from stale or misread documentation.
- Coverage across the full product suite. The MCP server covers all products in a single connection: Property Profile, Property Insights, Property Characteristics, Building Permits, Replacement Costs (residential, commercial, and roof), Sex Offenders, Roof Report, and our Analysis products (PropertyScore, SafePlaceScore, RoofScore). Whether you are building a quoting flow, a portfolio risk dashboard, or a claims triage pipeline, the same MCP integration surface applies.
For carriers and MGAs already adopting AI-assisted development workflows, the PropertyLens MCP server turns what is typically a multi-week API integration project into something that can be prototyped in an afternoon.
