Google Maps MCP Server for Vercel AI SDK 4 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Google Maps 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 Google Maps, 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 Google Maps MCP Server
Connect your Google Maps Platform account to any AI agent and take full control of your geospatial intelligence, place discovery, and routing through natural conversation.
The Vercel AI SDK gives every Google Maps tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 4 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
- Geocoding Orchestration — Convert physical addresses or location names into precise geographic coordinates (Latitude/Longitude) translating human readable locations into spatial API bounds flawlessly
- Place Discovery — Finds physical entities within Google Maps database matching text queries like 'Restaurants in New York', retrieving critical PlaceIDs for deep introspection natively
- Rich Metadata Retrieval — Retrieve deep details of specific places including phone numbers, user reviews, opening hours, and websites using PlaceIDs to bypass generic search arrays synchronously
- Route & ETA Calculation — Triggers routing engine identifying physical transit maps resolving directions, distance, and optimal time calculations between origin and destination bounds flawlessly
- Travel Mode Support — Execute directions queries for driving, walking, bicycling, or transit modes to verify travel logistics and ETAs synchronously across your environment
- Geospatial Intelligence — Analyze specific localized coordinates to verify presence and proximity of businesses or landmarks within the Google Maps ecosystem securely
The Google Maps MCP Server exposes 4 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 Google Maps to Vercel AI SDK via MCP
Follow these steps to integrate the Google Maps 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 4 tools from Google Maps and passes them to the LLM
Why Use Vercel AI SDK with the Google Maps MCP Server
Vercel AI SDK provides unique advantages when paired with Google Maps 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 Google Maps integration everywhere
Built-in streaming UI primitives let you display Google Maps 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
Google Maps + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Google Maps MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Google Maps in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Google Maps tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Google Maps capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Google Maps through natural language queries
Google Maps MCP Tools for Vercel AI SDK (4)
These 4 tools become available when you connect Google Maps to Vercel AI SDK via MCP:
directions
Calculate ETA, distance, and optimal route directions between origin and destination
geocode
Convert an address or location name into precise geographic coordinates (Latitude / Longitude)
place_details
Get deep details of a specific Place (Phone number, reviews, opening hours, website) using its PlaceID
place_search
Search for businesses, restaurants, or spots (e.g. "Pizza in New York", "Hospitals near me")
Example Prompts for Google Maps in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Google Maps immediately.
"Geocode this address: '1600 Amphitheatre Pkwy, Mountain View, CA'"
"Find pizza restaurants in Brooklyn and show me details for the best one"
"Get directions from San Francisco to San Jose by train"
Troubleshooting Google Maps MCP Server with Vercel AI SDK
Common issues when connecting Google Maps to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpGoogle Maps + Vercel AI SDK FAQ
Common questions about integrating Google Maps 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 Google Maps 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.
AI-first code editor with integrated LLM-powered coding assistance.
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 Google Maps to Vercel AI SDK
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.