Foursquare Places MCP
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Provides AI agents with contextual location data and place‑search capabilities through the Foursquare Places API via the Model Context Protocol.
Foursquare Places MCP Overview
What is Foursquare Places MCP about?
Enables an MCP server to expose Foursquare Places API functions so that large language models can query real‑time location information, discover nearby venues, and retrieve rich metadata such as photos, ratings, hours, and popularity.
How to use Foursquare Places MCP?
- Obtain a Foursquare Service API Key – create or retrieve a key from the Foursquare developer console.
- Set up the MCP server – follow the instructions in
fsq-server-python/README.mdto run the Python‑based server (e.g.,uvicorn). - Connect an LLM – configure your Anthropic Claude Desktop or another MCP‑compatible client to call the exposed functions.
Key features of Foursquare Places MCP
- Accurate geo‑tagging using Place Snap technology.
- Search & filtering by category, features, opening hours, popularity, etc.
- Rich place metadata: photos, reviews, ratings, real‑time crowd levels.
- MCP‑native function calls allow seamless LLM integration without custom wrappers.
Use cases of Foursquare Places MCP
- Building AI assistants that suggest nearby restaurants, coffee shops, or points of interest.
- Context‑aware travel itineraries generated by a conversational agent.
- Real‑time crowd‑level alerts for events or venues.
- Enhancing location‑based recommendations in mobile or web apps.
FAQ from the Foursquare Places MCP
Q: Do I need a paid Foursquare account? A: A free developer account provides a starter credit sufficient for testing; higher usage requires a paid plan.
Q: Which programming languages are supported? A: The repository currently offers a Python server implementation. Node.js wrappers could be added later.
Q: Can I run the server in production? A: At the moment MCP is geared toward local development with Claude Desktop. Remote production servers are planned.
Q: How do I expose the server to an LLM?
A: Start the server (e.g., uvicorn fsq_server:app) and configure the LLM client with the server’s URL and the API key via environment variables.
Foursquare Places MCP's 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
- Python: follow the directions in fsq-server-python/README.md for instructions on setting up a python based MCP server using uv.
Foursquare Places MCP Reviews
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Foursquare Places MCP's Information
- Author
- foursquare
- Category
- Search
- Language
- Python
- License
- Other
- Stars
- 7
- Updated
- 21 days ago
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