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 analyzes restaurants across 37 internal dimensions -- food quality, service speed, noise level, authenticity, dietary options, and more -- producing letter grades from A+ to F. The API exposes 14 of these dimensions as structured assessments at the premium tier, with the remaining dimensions feeding the overall grade and recommendation engine.
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.