HERE Mobility MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect HERE Mobility through the 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 HERE Mobility, 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 HERE Mobility MCP Server
What you can do
Connect AI agents to the HERE Transit API for comprehensive public transportation planning:
The Vercel AI SDK gives every HERE Mobility tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 tools through the Vinkius and stream results progressively to React, Svelte, or Vue components — works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
- Discover transit trips between any two locations with bus, train, subway, tram, and ferry
- Find nearby stations by GPS coordinates or name search
- Get detailed route information with step-by-step transit instructions and transfers
- Check departure/arrival schedules for any station in real-time
- Plan multimodal journeys combining transit, walking, cycling, and scooter
- Get station details including accessibility, amenities, and serving lines
- Search trips with specific transport modes for customized travel preferences
The HERE Mobility MCP Server exposes 8 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 HERE Mobility to Vercel AI SDK via MCP
Follow these steps to integrate the HERE Mobility 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 8 tools from HERE Mobility and passes them to the LLM
Why Use Vercel AI SDK with the HERE Mobility MCP Server
Vercel AI SDK provides unique advantages when paired with HERE Mobility 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 HERE Mobility integration everywhere
Built-in streaming UI primitives let you display HERE Mobility 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
HERE Mobility + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the HERE Mobility MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query HERE Mobility in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate HERE Mobility tools and return structured JSON responses to any frontend
Chatbots with tool use: embed HERE Mobility capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with HERE Mobility through natural language queries
HERE Mobility MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect HERE Mobility to Vercel AI SDK via MCP:
discover_trips
Returns trip details including departure/arrival times, duration, number of transfers, and transport modes. Use origin and destination in lat,lng format. Optionally specify departure or arrival time in ISO 8601 format. Best for planning multimodal journeys. Discover public transit trips between origin and destination using HERE Transit API
get_nearby_stations
More precise than get_stations with customizable radius. Returns station IDs, names, distances, coordinates, and available lines. Use this for comprehensive station discovery in an area. Find all transit stations within a specific radius of coordinates
get_route_details
Requires the trip ID from a discover_trips result plus original origin/destination and departure time. Use this to review full route before traveling. Get detailed route information for a specific transit trip
get_schedule
Useful for checking when the next bus, train, or subway arrives. Requires station ID from get_stations result. Optionally filter by direction (e.g., "northbound", "downtown"). Get departure/arrival schedule for a specific transit station
get_station_details
Requires station ID from station search results. Use this to review station facilities before planning trips. Get detailed information about a specific transit station
get_stations
Returns station IDs, names, coordinates, and available transport lines. Use this to find stations before planning trips. Find transit stations near a GPS coordinate
get_stations_by_name
g., "Central Station", "Times Square"). Returns matching stations with IDs, names, coordinates, and available transport lines. Use this when you know the station name but not exact coordinates. Find transit stations by name
search_multimodal_trips
Modes can include: transit (bus/train/subway/tram/ferry), walk, bicycle, scooter, taxi. Returns multimodal route options with time breakdown per mode. Use this when user wants to combine walking or cycling with public transit for optimal journey. Search trips combining multiple transport modes (transit, walk, bike, scooter)
Example Prompts for HERE Mobility in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with HERE Mobility immediately.
"Find me the best public transit route from Brandenburg Gate to Berlin Central Station departing at 8am tomorrow"
"What buses and trains depart from Times Square in the next 30 minutes?"
"Plan a multimodal trip from my location combining subway and bike sharing"
Troubleshooting HERE Mobility MCP Server with Vercel AI SDK
Common issues when connecting HERE Mobility to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpHERE Mobility + Vercel AI SDK FAQ
Common questions about integrating HERE Mobility 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 HERE Mobility 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 HERE Mobility to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.