Foursquare MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Foursquare through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Foursquare, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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.
The Vercel AI SDK gives every Foursquare tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI SDK 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 Vercel AI SDK via MCP
Follow these steps to integrate the Foursquare MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Foursquare and passes them to the LLM
Why Use Vercel AI SDK with the Foursquare MCP Server
Vercel AI SDK provides unique advantages when paired with Foursquare through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Foursquare integration everywhere
Built-in streaming UI primitives let you display Foursquare tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Foursquare + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Foursquare MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Foursquare in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Foursquare tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Foursquare capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Foursquare through natural language queries
Foursquare MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Foursquare to Vercel AI SDK 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK
Common issues when connecting Foursquare to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpFoursquare + Vercel AI SDK FAQ
Common questions about integrating Foursquare MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Foursquare with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
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 Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.