How to Use the Foursquare MCP in Mastra AI

Q: Can a Mastra AI workflow run Foursquare searches in parallel?

Yes. You can trigger multiple tool calls like searchwithinradius and getplacephotos concurrently within a step to speed up your pipeline.

Q: What happens to the venue IDs and search terms sent to Foursquare?

The MCP Server only transmits the queries, like IDs for getplacedetails, to the Foursquare API. These values are processed in an ephemeral sandbox and are never cached or logged by Vinkius.

Build resilient, multi-step location workflows in Mastra AI using this Foursquare MCP Server with automated retries.

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Connect Foursquare MCP to Mastra AI

Create your Vinkius account to connect Foursquare to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Foursquare with Mastra AI

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Build automated location workflows in Mastra AI

Mastra AI lets you build complex logic around venue discovery. If a search via `search_places` fails or returns zero results, the workflow engine can automatically fall back to `search_nearby_venues` with a wider radius. You do not have to write custom error-handling code for every API hiccup. The built-in retry mechanism on the MCP Server connection handles transient network issues while the agent fetches data.

Clean dirty location data automatically

Ingestion pipelines often deal with duplicate or misspelled venue names. Your agent can run incoming data through `match_venue_exactly` to confirm if a record already exists in the Foursquare database. If the match is confirmed, the agent triggers a branch to update the record using `get_place_details`. This keeps your database clean without manual data entry.

Filter venues by real user feedback

Do not rely on basic star ratings alone. Your agent can pull qualitative data using `get_place_tips` to understand what people actually think about a venue. The workflow can analyze these tips to categorize the venue. For example, it can check `list_venue_categories` to see if a spot fits a specific vibe before recommending it to a user.

Setup guide

Set up Foursquare MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Foursquare tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "foursquare-mcp-client",
  servers: {
    "foursquare-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Foursquare Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Foursquare tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Foursquare transactions"
);
console.log(result.text);

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Foursquare. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Foursquare MCP in Mastra AI

Install the MCP client package and instantiate it with the Vinkius server URL. Then, call listTools and spread the resulting tools directly into your agent configuration.

Yes. You can trigger multiple tool calls like `search_within_radius` and `get_place_photos` concurrently within a step to speed up your pipeline.

Vinkius manages the authentication layer. Your Mastra AI agent only needs to pass the single endpoint token, and the platform handles the Foursquare API keys securely.

Yes, Mastra AI has a human-in-the-loop feature. You can pause the workflow after running `match_venue_exactly` and wait for an admin to approve the update.

The MCP Server only transmits the queries, like IDs for `get_place_details`, to the Foursquare API. These values are processed in an ephemeral sandbox and are never cached or logged by Vinkius.

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