MCP server

Foursquare

io.github.pipeworx-io/foursquare

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

Foursquare Places MCP — migrated to the 2025 Places API

Website Source

At a glance

Type

MCP server

Publisher

pipeworx.io (verified by the MCP Registry)

Status

Working at last check

Tools

45

Token cost

About 27,279 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 foursquare https://gateway.pipeworx.io/foursquare/mcp

Claude Desktop

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

Codex (config.toml)

[mcp_servers.foursquare]
url = "https://gateway.pipeworx.io/foursquare/mcp"

Gemini CLI

{"mcpServers":{"foursquare":{"httpUrl":"https://gateway.pipeworx.io/foursquare/mcp"}}}

Cursor

{"mcpServers":{"foursquare":{"url":"https://gateway.pipeworx.io/foursquare/mcp"}}}

VS Code

{"servers":{"foursquare":{"type":"http","url":"https://gateway.pipeworx.io/foursquare/mcp"}}}

Antigravity

agy mcp add foursquare https://gateway.pipeworx.io/foursquare/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":"foursquare","server_url":"https://gateway.pipeworx.io/foursquare/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"foursquare","server_url":"https://gateway.pipeworx.io/foursquare/mcp"}

Tools

• get_place ~149 tokens
  Full place details by fsq_place_id. Returns name, categories, address, lat/lon, social media, website, tel. hours/rating/price/popularity are Foursquare Premium fields — present only where enabled (see `rating_included` / `rating_note` in the response).
• nearby_places ~304 tokens
  Return POIs sorted by distance from a lat/lon without a text query. Requires latitude+longitude; optional radius_m (default 500m) and numeric fsq_category_ids filter. Returns name, categories, address, distance, tel, website. rating/hours/popularity are Foursquare Premium fields — present only where
• search_places ~523 tokens
  Search Foursquare places (keyless — Pipeworx supplies the key). Combine `query` (e.g., "coffee", "hardware store") with a location anchor — either `near` ("Brooklyn, NY", "San Francisco, CA") or `latitude`+`longitude`. sort:"RATING" orders results by Foursquare rating (best first); the rating NUMBER

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