TomTom 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 TomTom 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 TomTom, 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 TomTom MCP Server
Connect your TomTom API account directly to any AI agent to unlock enterprise-grade geospatial and logistical capabilities native to your platform. Convert complex addresses instantly, evaluate driving routes based on exact origin and destination coordinates, and visualize live traffic blocks directly through chat queries.
The Vercel AI SDK gives every TomTom 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
- Precision Geocoding — Process any physical address string into absolute geographic latitude/longitude coordinates using fuzzy logic or structured fields, as well as reversing coordinates back to plain street names
- Route Computation — Calculate the exact travel time, polyline geometry, and distance for a trip between two precise coordinates
- Real-Time Traffic — Map traffic incidents (accidents, constructions, jams) constrained within a bounding box, or survey the traffic flow speed of a particular avenue segment
- Poi Discovery — Find global Points of Interest based on categories (e.g., hospitals, fuel) and retrieve rich contact metadata or opening hours for specific locations
- Travel Boundaries — Calculate reachable ranges (polygonal limits) to understand exactly how far your fleet or agents can travel within a set time budget
The TomTom 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 TomTom to Vercel AI SDK via MCP
Follow these steps to integrate the TomTom 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 TomTom and passes them to the LLM
Why Use Vercel AI SDK with the TomTom MCP Server
Vercel AI SDK provides unique advantages when paired with TomTom 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 TomTom integration everywhere
Built-in streaming UI primitives let you display TomTom 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
TomTom + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the TomTom MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query TomTom in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate TomTom tools and return structured JSON responses to any frontend
Chatbots with tool use: embed TomTom capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with TomTom through natural language queries
TomTom MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect TomTom to Vercel AI SDK via MCP:
autocomplete_place_search
Provide a partial string and optional bias coordinates. Provides predictive location suggestions based on partial input
calculate_reachable_range
Provide center coordinates and a time budget in seconds. Calculates an area reachable within a specific time or distance budget
calculate_route
Returns the route polyline and a summary. Calculates a route and travel time between two points
fuzzy_geocoding
Converts a physical address string into geographic coordinates using fuzzy matching
get_poi_details
Retrieves rich metadata for a specific point of interest ID
get_traffic_flow_segment
Provide center coordinates. Retrieves the traffic flow speed and quality for a specific road segment
get_traffic_incidents
Provide min/max lat/lon coordinates. Retrieves real-time traffic incident details within a bounding box
reverse_geocoding
Converts geographic coordinates into a physical address
search_poi_by_category
Provide a category name and a center coordinate. Searches for points of interest (POIs) near a location by category (e.g., gas stations, hospitals)
structured_geocoding
Provide parameters like countryCode and postalCode. Performs geocoding using explicit address components (e.g., street, city, zip)
Example Prompts for TomTom in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with TomTom immediately.
"Convert these coordinates into an address: Lat 40.7128, Lon -74.0060."
"Check for any traffic incidents on the 101 freeway bounded roughly by these dimensions."
Troubleshooting TomTom MCP Server with Vercel AI SDK
Common issues when connecting TomTom to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpTomTom + Vercel AI SDK FAQ
Common questions about integrating TomTom 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 TomTom 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 TomTom to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.