MCP server

Dish Directory Official

com.dishdirectory/dishdirectory

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Restaurants and their signature dishes across the US and Canada.

Website

At a glance

Type

MCP server

Publisher

dishdirectory.com (verified by the MCP Registry)

Status

Working at last check

Tools

6

Token cost

About 727 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http dishdirectory https://dishdirectory.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.dishdirectory]
url = "https://dishdirectory.com/mcp"

Gemini CLI

{"mcpServers":{"dishdirectory":{"httpUrl":"https://dishdirectory.com/mcp"}}}

Cursor

{"mcpServers":{"dishdirectory":{"url":"https://dishdirectory.com/mcp"}}}

VS Code

{"servers":{"dishdirectory":{"type":"http","url":"https://dishdirectory.com/mcp"}}}

Antigravity

agy mcp add dishdirectory https://dishdirectory.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"dishdirectory","server_url":"https://dishdirectory.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"dishdirectory","server_url":"https://dishdirectory.com/mcp"}

Tools

• get_listing ~87 tokens
  Get one published restaurant by its slug.
• get_stats ~60 tokens
  Get the number of published restaurants, places and categories, and when the data last changed.
• list_categories ~48 tokens
  List categories with their restaurant counts.
• list_places ~50 tokens
  List countries, regions and cities that have restaurants.
• list_sources ~59 tokens
  List where the restaurant data comes from, with the license and refresh of each source.
• search_listings ~423 tokens
  Search published restaurants by text, place and category.

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Badge for your README

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