Make Your Restaurants Agent-Ready
AI agents are learning to find, book, and pay for restaurants services autonomously. Most restaurants businesses are invisible to them.
The Agent Use Case
Imagine a customer asks their AI assistant this question:
“Book me a table for 4 at an Italian restaurant in SoHo for 7:30pm tonight”
Searching for agent-ready restaurants businesses... Found your business via MCP endpoint. Calling make_reservation() now...
Right now, this fails for most restaurants businesses. We fix that.
5 MCP Tools Agents Could Call
These are the tools an AI agent needs to interact with your restaurants business. We generate and host them for you.
make_reservation()
Book a table for a given party size, date, and time
view_menu()
Return the full menu with prices, descriptions, and dietary info
place_order()
Submit a takeout or delivery order
check_availability()
Check open table slots for a given date and party size
get_restaurant_info()
Return hours, location, cuisine type, and contact info
What You Get (Free)
Everything you need to go from invisible to agent-ready. No code required.
Agent card with menu, hours, and booking info
MCP endpoint for reservations and orders
Listed in agent-searchable directories
Before & After
The difference between being invisible and being the first recommendation.
Today
Agents can't find your menu online
No way to book a table programmatically
Missing from AI-powered search results
Average score: 32/100
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 restaurants in your market
While 1M+ restaurants businesses average 32/100, you can be at 75+ in minutes. Free.