MCP server

Wheremind Official

ai.wheremind/wheremind

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

Hosted MCP for live place search, geocoding & turn-by-turn routes. No Maps API key to manage.

Website

At a glance

Type

MCP server

Publisher

wheremind.ai (verified by the MCP Registry)

Status

Working at last check

Tools

5

Token cost

About 1,276 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 wheremind https://wheremind.ai/mcp

Claude Desktop

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

Codex (config.toml)

[mcp_servers.wheremind]
url = "https://wheremind.ai/mcp"

Gemini CLI

{"mcpServers":{"wheremind":{"httpUrl":"https://wheremind.ai/mcp"}}}

Cursor

{"mcpServers":{"wheremind":{"url":"https://wheremind.ai/mcp"}}}

VS Code

{"servers":{"wheremind":{"type":"http","url":"https://wheremind.ai/mcp"}}}

Antigravity

agy mcp add wheremind https://wheremind.ai/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":"wheremind","server_url":"https://wheremind.ai/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"wheremind","server_url":"https://wheremind.ai/mcp"}

Tools

• directions ~322 tokens
  Compute a route from origin to destination by DRIVE, WALK, BICYCLE, TRANSIT, or TWO_WHEELER. Use when the user asks how to get somewhere, how far it is, or how long it takes. Origin and destination may be an address string, "lat,lng", or an object with place_id. Returns total duration and distance,
• geocode ~218 tokens
  Convert an address to lat/lng (forward: pass address), or lat/lng to an address (reverse: pass latitude and longitude). Use when the user needs coordinates or a normalized address, or before places_nearby. To find businesses use places_search_text; directions accepts addresses directly, so geocoding
• places_details ~158 tokens
  Get details for one known place by place_id (from places_search_text or places_nearby). Use when the user asks for a specific place's phone number, website, opening hours, or rating. Returns name, formatted address, lat/lng, rating, opening hours, phone, website, and attributions.
• places_nearby ~267 tokens
  List places within a radius (meters) of a lat/lng you already have, such as the user's location or a geocode result, optionally filtered by Places types (e.g. ["restaurant"]) and ranked by DISTANCE or POPULARITY. For free-text, name, or city queries use places_search_text instead. Returns place_id,
• places_search_text ~311 tokens
  Find places by free text: a business name, a category, or "X in/near Y" (e.g. "coffee in Porto", "pharmacies near Lisbon Oriente"). Default choice for finding places. Use places_nearby only when you already have exact coordinates. Returns up to 20 places, each with place_id, name, formatted address,

Browse

• Maps and places

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