HERE Mobility MCP Server for Mastra AI 8 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect HERE Mobility through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
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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: {
"here-mobility": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "HERE Mobility Agent",
instructions:
"You help users interact with HERE Mobility " +
"using 8 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with HERE Mobility?"
);
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 HERE Mobility MCP Server
What you can do
Connect AI agents to the HERE Transit API for comprehensive public transportation planning:
Mastra's agent abstraction provides a clean separation between LLM logic and HERE Mobility tool infrastructure. Connect 8 tools through the 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.
- 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 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 HERE Mobility to Mastra AI via MCP
Follow these steps to integrate the HERE Mobility 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 8 tools from HERE Mobility via MCP
Why Use Mastra AI with the HERE Mobility MCP Server
Mastra AI provides unique advantages when paired with HERE Mobility through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add HERE Mobility 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 HERE Mobility 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
HERE Mobility + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the HERE Mobility MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query HERE Mobility, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed HERE Mobility as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query HERE Mobility on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using HERE Mobility tools alongside other MCP servers
HERE Mobility MCP Tools for Mastra AI (8)
These 8 tools become available when you connect HERE Mobility to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting HERE Mobility to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpHERE Mobility + Mastra AI FAQ
Common questions about integrating HERE Mobility 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 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 Mastra AI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.