Seemor Restaurant Intelligence

Structured restaurant intelligence for AI platforms.

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What it can do

  • Lookup Restaurant: Look up a specific restaurant by its Seemor ID. Returns grade, summary, cuisine, neighborhood, and other details. Use the fields parameter to request richer data (standard or premiu
  • Search Restaurants: Search for restaurants near a location. Returns graded, ranked results with cuisine, price level, and Seemor analysis summaries.
  • Recommend: Get personalized restaurant recommendations based on a natural language query. Uses cuisine, occasion, ambiance, price, and dimensional analysis to find the best matches. Returns ranked res

What data it sees

Do you need an account

No: the server works without sign-in

Structured restaurant intelligence for AI platforms. 760K+ restaurants catalogued across 26 countries, 62K+ with deep 37-dimension analysis.

Tools

  • find_restaurant - Find restaurants by name, get Seemor IDs
  • search_restaurants - Search by location with grade/cuisine/price filters
  • explore_area - Aggregate dining stats for a neighborhood or city
  • lookup_restaurant - Detailed profiles with 3 detail tiers (basic/standard/premium)
  • ask_about_restaurant - Natural language Q&A about any restaurant
  • recommend - Personalized recommendations from natural language queries

Data

Letter grades (A+ to F), cuisine taxonomy, occasion fit, menu highlights, dietary signals, dimensional assessments (noise, formality, authenticity, etc.), cost estimates, and neighborhood context.

Access

Free tier available instantly at app.seemor.ai/developer. Docs at docs.seemor.ai.

How to connect

How to connect Seemor Restaurant Intelligence to Claude

The server address to paste into Claude settings:

https://restaurant-intelligence--ryan-6pif.run.tools

  1. Open Claude (claude.ai or the desktop app).
  2. Go to Settings → Connectors.
  3. Click Add custom connector.
  4. Paste the server address copied below into Remote MCP server URL and click Add.
  5. In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect Seemor Restaurant Intelligence to ChatGPT

The server address to paste into ChatGPT settings:

https://restaurant-intelligence--ryan-6pif.run.tools

  1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
  2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
  3. Open Settings → Connectors and click Create.
  4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
  5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
  6. In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect Seemor Restaurant Intelligence to Cursor

The server address to paste into Cursor settings:

https://restaurant-intelligence--ryan-6pif.run.tools

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

  1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
  2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
  3. Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (6)

Raw names from tools/list. Only developers need these.

lookup_restaurantLook up a specific restaurant by its Seemor ID. Returns grade, summary, cuisine, neighborhood, and other details. Use the fields parameter to request richer data (standard or premium). Use search_restaurants or find_restaurant first to get restaurant IDs.
search_restaurantsSearch for restaurants near a location. Returns graded, ranked results with cuisine, price level, and Seemor analysis summaries.
recommendGet personalized restaurant recommendations based on a natural language query. Uses cuisine, occasion, ambiance, price, and dimensional analysis to find the best matches. Returns ranked results with relevance levels and match reasons in 3-8 seconds. Include a location in your query or provide the location parameter.
find_restaurantFind restaurants by name. Returns matching restaurants with their Seemor IDs, which can be passed to lookup_restaurant for full details. Use the city parameter to disambiguate common names.
explore_areaGet aggregate dining statistics for a neighborhood, city, or region: cuisine breakdown, grade distribution, price range, top neighborhoods, and highlighted restaurants. Use this for area-level context ("what is the dining scene like in Shoreditch?"), NOT for finding a specific restaurant or getting a personal recommendation. For "find me a quiet Italian near Shoreditch", use the recommend tool instead.
ask_about_restaurantAsk a specific question about a restaurant based on analysis of real reviews and menu data. Common questions: what to order, group suitability, dietary options, vibe/atmosphere, value assessment. Requires a restaurant_id from find_restaurant or search_restaurants.