Getting Started
Overview
What the Seemor API provides and how it works
Overview
The Seemor API provides structured restaurant intelligence built from AI analysis of review text, menus, and metadata across 760,000+ restaurants in 134 regions.
Unlike star ratings or review aggregators, Seemor scores restaurants across 37 dimensions -- food quality, service speed, noise level, authenticity, dietary options, and more -- producing letter grades from A+ to F.
What you can do
| Tool | What it does | Tier |
|---|---|---|
find_restaurant | Fuzzy name search with city disambiguation | Free |
search_restaurants | Spatial search by coordinates with filters | Free |
explore_area | Neighborhood or city dining overview | Free |
lookup_restaurant | Detailed restaurant data (basic/standard/premium) | Free / $20 / $50 per 1K |
ask_about_restaurant | Natural-language Q&A about a specific restaurant | $50/1K |
recommend | AI-powered dining recommendations from a natural-language query | $80/1K |
Protocol
The API uses the Model Context Protocol (MCP) -- JSON-RPC 2.0 over HTTP. Every request is a POST to a single endpoint:
POST https://api.seemor.ai/api/mcpThis means the API works natively with MCP-compatible clients (Claude Desktop, Cursor, etc.) and with any HTTP client via standard JSON-RPC calls.