# How to integrate Foursquare MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Foursquare MCP with OpenAI Agents SDK",
  "toolkit": "Foursquare",
  "toolkit_slug": "foursquare",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/foursquare/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/foursquare/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:12:14.885Z"
}
```

## Introduction

This guide walks you through connecting Foursquare to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Foursquare agent that can find coffee shops open near me now, show photos of central park attractions, get reviews for the best pizza spots nearby through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Foursquare account through Composio's Foursquare MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Foursquare with

- [Claude Agent SDK](https://composio.dev/toolkits/foursquare/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/foursquare/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/foursquare/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/foursquare/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/foursquare/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/foursquare/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/foursquare/framework/cli)
- [Google ADK](https://composio.dev/toolkits/foursquare/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/foursquare/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/foursquare/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/foursquare/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/foursquare/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/foursquare/framework/crew-ai)

## TL;DR

Here's what you'll learn:
- Get and set up your OpenAI and Composio API keys
- Install the necessary dependencies
- Initialize Composio and create a Tool Router session for Foursquare
- Configure an AI agent that can use Foursquare as a tool
- Run a live chat session where you can ask the agent to perform Foursquare operations

## What is OpenAI Agents SDK?

The OpenAI Agents SDK is a lightweight framework for building AI agents that can use tools and maintain conversation state. It provides a simple interface for creating agents with hosted MCP tool support.
Key features include:
- Hosted MCP Tools: Connect to external services through hosted MCP endpoints
- SQLite Sessions: Persist conversation history across interactions
- Simple API: Clean interface with Agent, Runner, and tool configuration
- Streaming Support: Real-time response streaming for interactive applications

## What is the Foursquare MCP server, and what's possible with it?

The Foursquare MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Foursquare account. It provides structured and secure access to the powerful Foursquare Places database, so your agent can search for venues, recommend places, retrieve detailed location data, surface user tips, and even fetch photos—all on your behalf.
- Comprehensive place search and discovery: Let your agent find places or points of interest nearby or in any area using keywords, categories, or specific criteria.
- Retrieve rich place details: Instantly pull in-depth information about a specific venue, including its name, address, ratings, categories, and more.
- Access user-generated tips and reviews: Have your agent surface real user insights, tips, and experiences for any place to help guide your decisions.
- Fetch location photos: Enhance your applications by retrieving and displaying user-contributed images for any venue in the Foursquare database.
- Explore lesser-known and trending spots: Use Foursquare's broader search to discover new, up-and-coming, or hidden places that might not appear in standard searches.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `FOURSQUARE_RETRIEVE_NEARBY_PLACES_V3` | Retrieve nearby places v3 | The GetNearbyPlaces endpoint retrieves a list of places near a specified location, primarily supporting check-in use cases and local discovery. It returns points of interest (POIs) including lower quality results not found in the standard Place Search, enhancing location-based experiences with additional data like photos, reviews, and tips. This endpoint is ideal for applications seeking to provide users with a comprehensive view of their surroundings, including less prominent or newer locations. While it offers a broader range of results, it may sacrifice some precision compared to more focused search endpoints. Use this when you want to offer users a diverse array of nearby options, particularly for social check-in features or exploratory local recommendations. |
| `FOURSQUARE_RETRIEVE_PLACE_PHOTOS_BY_ID` | Retrieve place photos by id | Retrieves photos associated with a specific place in Foursquare's database. This endpoint allows you to access user-generated images for a particular point of interest (POI) using its unique Foursquare ID (fsq_id). It's useful for enhancing your application with visual content related to locations, such as restaurants, landmarks, or businesses. The endpoint returns photo data that can be used to construct image URLs for display. Keep in mind that the number and quality of photos may vary depending on the popularity and user engagement of the place. This tool should be used when you need to display or analyze visual information about a specific location in your application. |
| `FOURSQUARE_RETRIEVE_PLACES_BY_ID` | Retrieve places by id | Retrieves detailed information about a specific place using its unique Foursquare ID (FSQ ID). This endpoint provides comprehensive data about a venue, including its name, address, category, ratings, tips, photos, and other relevant information. It's particularly useful when you need in-depth details about a known location, such as for displaying venue profiles or gathering specific place attributes. The endpoint should be used when you have a valid FSQ ID and require the most up-to-date and complete information about that place. Note that this endpoint focuses on individual place details and does not provide search functionality or lists of multiple venues. |
| `FOURSQUARE_RETRIEVE_PLACE_TIPS_USING_FSQ_ID` | Retrieve place tips using fsq id | Retrieves user-generated tips for a specific place in the Foursquare database. This endpoint allows you to fetch valuable insights and experiences shared by Foursquare users about a particular venue. It's useful for enhancing location-based applications with real user feedback, helping users make informed decisions about places they might visit. The endpoint returns a list of tips, which may include information such as the tip text, the user who created it, and potentially a timestamp or rating. |
| `FOURSQUARE_SEARCH_PLACES_API_REQUEST` | Search places api request | The GetPlacesSearch endpoint allows you to search for places in the Foursquare database based on various criteria such as location, keywords, and categories. This tool is ideal for discovering nearby points of interest or finding specific venues. It returns a list of places matching the specified parameters, providing essential information about each location. Use this endpoint for location-based features or gathering venue information in a specific area. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Foursquare MCP server is an implementation of the Model Context Protocol that connects your AI agent to Foursquare. It provides structured and secure access so your agent can perform Foursquare operations on your behalf through a secure, permission-based interface.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 1. Prerequisites

Before starting, make sure you have:
- Composio API Key and OpenAI API Key
- Primary know-how of OpenAI Agents SDK
- A live Foursquare project
- Some knowledge of Python or Typescript

### 1. Getting API Keys for OpenAI and Composio

OpenAI API Key
- Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) and create an API key. You'll need credits to use the models, or you can connect to another model provider.
- Keep the API key safe.
Composio API Key
- Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Go to Settings and copy your API key.

### 2. Install dependencies

Install the Composio SDK and the OpenAI Agents SDK.
```python
pip install composio_openai_agents openai-agents python-dotenv
```

```typescript
npm install @composio/openai-agents @openai/agents dotenv
```

### 3. Set up environment variables

Create a .env file and add your OpenAI and Composio API keys.
```bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com
```

### 4. Import dependencies

What's happening:
- You're importing all necessary libraries.
- The Composio and OpenAIAgentsProvider classes are imported to connect your OpenAI agent to Composio tools like Foursquare.
```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';
```

### 5. Set up the Composio instance

No description provided.
```python
load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())
```

```typescript
dotenv.config();

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});
```

### 6. Create a Tool Router session

What is happening:
- You give the Tool Router the user id and the toolkits you want available. Here, it is only foursquare.
- The router checks the user's Foursquare connection and prepares the MCP endpoint.
- The returned session.mcp.url is the MCP URL that your agent will use to access Foursquare.
- This approach keeps things lightweight and lets the agent request Foursquare tools only when needed during the conversation.
```python
# Create a Foursquare Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["foursquare"]
)

mcp_url = session.mcp.url
```

```typescript
// Create Tool Router session for Foursquare
const session = await composio.create(userId as string, {
  toolkits: ['foursquare'],
});
const mcpUrl = session.mcp.url;
```

### 7. Configure the agent

No description provided.
```python
# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Foursquare. "
        "Help users perform Foursquare operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)
```

```typescript
// Configure agent with MCP tool
const agent = new Agent({
  name: 'Assistant',
  model: 'gpt-5',
  instructions:
    'You are a helpful assistant that can access Foursquare. Help users perform Foursquare operations through natural language.',
  tools: [
    hostedMcpTool({
      serverLabel: 'tool_router',
      serverUrl: mcpUrl,
      headers: { 'x-api-key': composioApiKey },
      requireApproval: 'never',
    }),
  ],
});
```

### 8. Start chat loop and handle conversation

No description provided.
```python
print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
// Keep conversation state across turns
const conversationSession = new OpenAIConversationsSession();

// Simple CLI
const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: 'You: ',
});

console.log('\nComposio Tool Router session created.');
console.log('\nChat started. Type your requests below.');
console.log("Commands: 'exit', 'quit', or 'q' to end\n");

try {
  const first = await run(agent, 'What can you help me with?', { session: conversationSession });
  console.log(`Assistant: ${first.finalOutput}\n`);
} catch (e) {
  console.error('Error:', e instanceof Error ? e.message : e, '\n');
}

rl.prompt();

rl.on('line', async (userInput) => {
  const text = userInput.trim();

  if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
    console.log('Goodbye!');
    rl.close();
    process.exit(0);
  }

  if (!text) {
    rl.prompt();
    return;
  }

  try {
    const result = await run(agent, text, { session: conversationSession });
    console.log(`\nAssistant: ${result.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();
});

rl.on('close', () => {
  console.log('\n👋 Session ended.');
  process.exit(0);
});
```

## Complete Code

```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession

load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())

# Create Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["foursquare"]
)
mcp_url = session.mcp.url

# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Foursquare. "
        "Help users perform Foursquare operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)

print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});

async function main() {
  // Create Tool Router session
  const session = await composio.create(userId as string, {
    toolkits: ['foursquare'],
  });
  const mcpUrl = session.mcp.url;

  // Configure agent with MCP tool
  const agent = new Agent({
    name: 'Assistant',
    model: 'gpt-5',
    instructions:
      'You are a helpful assistant that can access Foursquare. Help users perform Foursquare operations through natural language.',
    tools: [
      hostedMcpTool({
        serverLabel: 'tool_router',
        serverUrl: mcpUrl,
        headers: { 'x-api-key': composioApiKey },
        requireApproval: 'never',
      }),
    ],
  });

  // Keep conversation state across turns
  const conversationSession = new OpenAIConversationsSession();

  // Simple CLI
  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: ',
  });

  console.log('\nComposio Tool Router session created.');
  console.log('\nChat started. Type your requests below.');
  console.log("Commands: 'exit', 'quit', or 'q' to end\n");

  try {
    const first = await run(agent, 'What can you help me with?', { session: conversationSession });
    console.log(`Assistant: ${first.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();

  rl.on('line', async (userInput) => {
    const text = userInput.trim();

    if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
      console.log('Goodbye!');
      rl.close();
      process.exit(0);
    }

    if (!text) {
      rl.prompt();
      return;
    }

    try {
      const result = await run(agent, text, { session: conversationSession });
      console.log(`\nAssistant: ${result.finalOutput}\n`);
    } catch (e) {
      console.error('Error:', e instanceof Error ? e.message : e, '\n');
    }

    rl.prompt();
  });

  rl.on('close', () => {
    console.log('\nSession ended.');
    process.exit(0);
  });
}

main().catch((err) => {
  console.error('Fatal error:', err);
  process.exit(1);
});
```

## Conclusion

This was a starter code for integrating Foursquare MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Foursquare.
Key features:
- Hosted MCP tool integration through Composio's Tool Router
- SQLite session persistence for conversation history
- Simple async chat loop for interactive testing
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.

## How to build Foursquare MCP Agent with another framework

- [Claude Agent SDK](https://composio.dev/toolkits/foursquare/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/foursquare/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/foursquare/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/foursquare/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/foursquare/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/foursquare/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/foursquare/framework/cli)
- [Google ADK](https://composio.dev/toolkits/foursquare/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/foursquare/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/foursquare/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/foursquare/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/foursquare/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/foursquare/framework/crew-ai)

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- [Api sports](https://composio.dev/toolkits/api_sports) - Api sports is a comprehensive sports data platform covering 2,000+ competitions with live scores and 15+ years of stats. Instantly access up-to-date sports information for analysis, apps, or chatbots.
- [Apify](https://composio.dev/toolkits/apify) - Apify is a cloud platform for building, deploying, and managing web scraping and automation tools called Actors. It lets you automate data extraction and workflow tasks at scale—no infrastructure headaches.
- [Autom](https://composio.dev/toolkits/autom) - Autom is a lightning-fast search engine results data platform for Google, Bing, and Brave. Developers use it to access fresh, low-latency SERP data on demand.
- [Beaconchain](https://composio.dev/toolkits/beaconchain) - Beaconchain is a real-time analytics platform for Ethereum 2.0's Beacon Chain. It provides detailed insights into validators, blocks, and overall network performance.
- [Big data cloud](https://composio.dev/toolkits/big_data_cloud) - BigDataCloud provides APIs for geolocation, reverse geocoding, and address validation. Instantly access reliable location intelligence to enhance your applications and workflows.
- [Bigpicture io](https://composio.dev/toolkits/bigpicture_io) - BigPicture.io offers APIs for accessing detailed company and profile data. Instantly enrich your applications with up-to-date insights on 20M+ businesses.
- [Bitquery](https://composio.dev/toolkits/bitquery) - Bitquery is a blockchain data platform offering indexed, real-time, and historical data from 40+ blockchains via GraphQL APIs. Get unified, reliable access to complex on-chain data for analytics, trading, and research.
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- [Byteforms](https://composio.dev/toolkits/byteforms) - Byteforms is an all-in-one platform for creating forms, managing submissions, and integrating data. It streamlines workflows by centralizing form data collection and automation.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Foursquare MCP?

With a standalone Foursquare MCP server, the agents and LLMs can only access a fixed set of Foursquare tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Foursquare and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with OpenAI Agents SDK?

Yes, you can. OpenAI Agents SDK fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Foursquare tools.

### Can I manage the permissions and scopes for Foursquare while using Tool Router?

Yes, absolutely. You can configure which Foursquare scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

### How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Foursquare data and credentials are handled as safely as possible.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)