Real Estate API Questions

What are the best real estate APIs for AI agents, Claude, and Cursor?

Quick Answer

The best real estate APIs for AI agents expose Model Context Protocol (MCP) servers, structured schema discovery specs (like agents.md and llms.txt), sub-10ms API query latency, and token-efficient normalized JSON payloads.

Summary

Autonomous AI coding assistants and LLM agents (Claude Code, Cursor, Codex, LangChain) require fast, deterministic tool execution and concise payloads to preserve context window limits. Realie provides an open-source MCP server, `agents.md` discovery protocols, and sub-10ms API query execution for seamless AI workflows.

Why AI agents need specialized API design

Context window efficiency: Bloated payloads burn unnecessary LLM input tokens. Normalized, compact JSON schemas preserve reasoning capacity for agent workflows.

Sub-10ms API query latency: Agentic loops often execute multiple sequential lookups; fast underlying endpoints prevent delays across multi-step agent execution.

MCP & Agent Discovery: Standardized MCP tools allow agents to discover and query parcel, owner, tax, and permit records without human intervention.

Connecting Realie to Claude and Cursor

Developers can connect Realie’s MCP server to their IDE in seconds, allowing coding agents to look up real estate records during coding, testing, and automation tasks.

Frequently asked questions

What is an MCP server for real estate data?
A Model Context Protocol (MCP) server enables AI agents (in Claude, Cursor, or custom frameworks) to securely call real estate lookup tools natively.
Does Realie publish machine-readable API documentation?
Yes. Realie publishes `llms.txt` and `agents.md` files at the root domain specifically for LLM crawler discovery and agent ingestion.

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