Foursquare MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Foursquare through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"foursquare": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Foursquare Agent",
instructions:
"You help users interact with Foursquare " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Foursquare?"
);
console.log(result.text);
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Foursquare MCP Server
Connect your Foursquare account to any AI agent and take full control of your geospatial intelligence and place discovery workflows through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Foursquare tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
What you can do
- Place Discovery Orchestration — Identify bounded routing spaces inside the headless Foursquare POI graph and extract explicitly attached REST arrays targeting specific search queries near any GPS pin
- Rich Metadata Inspection — Perform structural extraction of properties driving active node schemas, retrieving mega-document payloads including hours, ratings, and precise mapping arrays natively
- Visual & Social Auditing — Retrieve explicit cloud logging tracing media URL limits to compile dynamic image URLs and capture raw text sentiments left by humans to track venue quality
- Geospatial Intelligence — Execute immediate queries within custom drawn multi-point geometries or specific radius boundaries to find what exists physically adjacent to any target
- Precise Venue Matching — Dispatch automated validation checks routing explicit duplication logic to force Foursquare to confidently return exactly one node for ambiguous strings
- Intelligent Autocomplete — Provision highly-available JSON payloads generating fast typeaheads by querying partial letters to predict user intent natively
- Taxonomy Oversight — Enumerate explicitly attached structured rules exporting the entire official Foursquare classification tree to resolve internal type codes flawlessly
The Foursquare MCP Server exposes 10 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Foursquare to Mastra AI via MCP
Follow these steps to integrate the Foursquare MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Foursquare via MCP
Why Use Mastra AI with the Foursquare MCP Server
Mastra AI provides unique advantages when paired with Foursquare through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Foursquare without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Foursquare tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Foursquare + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Foursquare MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Foursquare, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Foursquare as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Foursquare on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Foursquare tools alongside other MCP servers
Foursquare MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Foursquare to Mastra AI via MCP:
autocomplete_venues
Provision a highly-available JSON Payload generating fast typeaheads
get_place_details
Perform structural extraction of properties driving active Node schemas
get_place_photos
Retrieve explicit Cloud logging tracing explicit Media URL limits
get_place_tips
Identify precise active arrays spanning native User Reviews
list_venue_categories
Enumerate explicitly attached structured rules exporting active Taxonomy
match_venue_exactly
Dispatch an automated validation check routing explicit Duplication logic
search_nearby_venues
Inspect deep internal arrays mitigating specific Radius targets
search_places
Identify bounded routing spaces inside the Headless Foursquare POI graph
search_within_polygon
Retrieve the exact structural matching verifying Geofence alternatives
search_within_radius
Irreversibly vaporize explicit validations extracting rich schema scopes
Example Prompts for Foursquare in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Foursquare immediately.
"Find coffee shops near '40.71, -74.00'"
"What are the opening hours for 'Central Park Zoo'?"
"Show me user tips for 'The Met Museum'"
Troubleshooting Foursquare MCP Server with Mastra AI
Common issues when connecting Foursquare to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpFoursquare + Mastra AI FAQ
Common questions about integrating Foursquare MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Foursquare with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Foursquare to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.