Make Your Real Estate Agent-Ready
AI agents are learning to find, book, and pay for real estate services autonomously. Most real estate businesses are invisible to them.
The Agent Use Case
Imagine a customer asks their AI assistant this question:
“Find me a 3-bedroom house under $500K in the Denver suburbs with a garage”
Searching for agent-ready real estate businesses... Found your business via MCP endpoint. Calling search_listings() now...
Right now, this fails for most real estate businesses. We fix that.
5 MCP Tools Agents Could Call
These are the tools an AI agent needs to interact with your real estate business. We generate and host them for you.
search_listings()
Search active listings by price, beds, baths, location, and features
get_property_details()
Return full property details, photos, history, and estimated value
schedule_showing()
Book a property showing with an agent
get_market_data()
Return market statistics for a given area
get_agent_info()
Return agent bio, specialties, areas served, and transaction history
What You Get (Free)
Everything you need to go from invisible to agent-ready. No code required.
Agent card with listings summary and agent info
MCP endpoint for search, details, and showings
Listed in agent-searchable directories
Before & After
The difference between being invisible and being the first recommendation.
Today
Agents cannot search your active listings
No way to schedule property showings programmatically
Missing from AI-powered home search results
Average score: 25/100
After AgentHermes
AI agents discover and recommend your business
Customers book through any AI assistant
Machine-readable tools expose your full service catalog
First-mover advantage in the agent economy
Be the first agent-ready real estate in your market
While 2M+ real estate businesses average 25/100, you can be at 75+ in minutes. Free.