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MCP server · Developer Tools

Foursquare

Foursquare API tools for Model Context Protocol

Unclaimed NOASSERTION last commit a year ago ai
54Fair

Scored 4 months ago · breakdown

About Foursquare

Foursquare is an MCP server published by foursquare in the Developer Tools category: foursquare API tools for Model Context Protocol. It has been installed 0 times through Conduid.

The repository has 12 stars and 4 forks, with the last commit a year ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues (0) before depending on it in production.

Install

Install
npx foursquare-places-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

  • ·README presentNot checked yet.
  • ·License declaredNot checked yet.
  • ·Tests presentNot checked yet.
  • ·Dependencies pinnedNot checked yet.
  • ·No dynamic code executionNot checked yet.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

README

MCP Server enabling access to the Foursquare API

The Foursquare Places API provides detailed location context for apps that need to understand where a user is and what's around them. Powered by a global, open source database of 100 million places across more than 1500 categories, they convert raw GPS data into meaningful insights.

The GeoTagging API pinpoints exact locations—from coffee shops to parks—with high accuracy using Foursquare's Place Snap technology, while the Search & Data APIs go beyond basic proximity, allowing developers to filter places by category, features, hours, and more. Each result includes rich metadata like photos, reviews, ratings, and real-time popularity.

These tools make it possible to build AI Agents that are situationally aware and tailored to the user's surroundings for a highly personalized experience.

What is MCP?

Model Context Protocol is a new standard from Anthropic for connecting AI systems with data sources. Read more about it at Anthropic.

MCP allows you to set up servers that expose functions that an LLM can understand and call directly. In this project, we implement an MCP server that can access the Foursquare API in order to support local search for places.

Getting Started

Foursquare Service API Key

You will need a Foursquare Service API Key to allow your AI agent to access Foursquare API endpoints. If you do not already have one, follow the instructions on Foursquare Doc - Manage Your Service API Keys to create one.

You will need to log in to your Foursquare developer account or create one if you do not have one (creating a basic account is free and includes starter credit for your project). Be sure to copy the Service API key upon creation as you will not be able to see it again.

Download Claude Desktop

Currently MCP is only supported for local use, so you should download the Claude Desktop App (remote production MCP servers are still in the works).

Set up MCP Server

README mirrored from the source repository 4 months ago. The original is authoritative.

Questions

About Foursquare

How do I install Foursquare?

Run npx foursquare-places-mcp, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is Foursquare safe to use with an AI agent?

Its trust score is 54 out of 100 (fair). It passes 0 of 1 static security checks; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Foursquare still maintained?

The last commit was a year ago, with 0 open issues. That's long enough that you should check whether the maintainer is responding to issues before depending on it.