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GraphHopper MCP Server for Mastra AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect GraphHopper through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
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: {
      "graphhopper": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "GraphHopper Agent",
    instructions:
      "You help users interact with GraphHopper " +
      "using 10 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with GraphHopper?"
  );
  console.log(result.text);
}

main();
GraphHopper
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V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 GraphHopper MCP Server

Connect your GraphHopper account to any AI agent and take full control of your geospatial routing, geocoding, and fleet optimization through natural conversation.

Mastra's agent abstraction provides a clean separation between LLM logic and GraphHopper tool infrastructure. Connect 10 tools through 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.

What you can do

  • Route Orchestration — Calculate optimal routes between multiple GPS stops, identifying precise asynchronous directions and time calculations bypassing URL length limits natively
  • Geocoding discovery — Extract explicitly attached REST arrays targeting /geocode to translate human-readable addresses into precise LatLon coordinates for spatial analysis
  • Reverse Geocoding — Perform structural extraction of properties matching GPS pins exactly against named physical streets to verify localized entity bounds flawlessly
  • Routing Matrix Calculation — Generate N x M arrays of travel times and distances to analyze complex grid logistics and distance tables between multiple points synchronously
  • Isochrone Reachability — Identify precisely the boundary reachable in a specific time limit from a starting point, defining reachability polygons for site selection or delivery zones
  • VRP Optimization — Command explicit JSON targets firing Traveling Salesman configs for multiple vehicles, checking time windows and capacity constraints to solve complex logistics synchronously
  • Map Matching Auditing — Validate API logic correcting imprecise GPS jumps by snapping raw GPX tracks perfectly onto street vectors limitlessly

The GraphHopper MCP Server exposes 10 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 GraphHopper to Mastra AI via MCP

Follow these steps to integrate the GraphHopper MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 10 tools from GraphHopper via MCP

Why Use Mastra AI with the GraphHopper MCP Server

Mastra AI provides unique advantages when paired with GraphHopper through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add GraphHopper without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every GraphHopper tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

GraphHopper + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the GraphHopper MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query GraphHopper, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed GraphHopper as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query GraphHopper on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using GraphHopper tools alongside other MCP servers

GraphHopper MCP Tools for Mastra AI (10)

These 10 tools become available when you connect GraphHopper to Mastra AI via MCP:

01

calculate_distance_isochrone

Provision a highly-available JSON Payload generating physical borders

02

calculate_heavy_route

Identify precise active arrays spanning native multi-stop geometries

03

calculate_reachability_polygon

Enumerate explicitly attached structured rules exporting active Reachability

04

calculate_routing_matrix

Inspect deep internal arrays mitigating specific Math tables

05

calculate_url_route

Retrieve explicit Cloud logging tracing explicit lightweight Directions

06

poll_vrp_solution

Retrieve the exact structural matching verifying Delivery alternatives

07

reverse_geocode

Perform structural extraction of properties driving active OSM bindings

08

search_geocode

Identify bounded routing spaces inside the Headless GraphHopper Engine

09

snap_gpx_to_road

Irreversibly vaporize explicit validations extracting GPX logic natively

10

submit_vrp_optimizer

Dispatch an automated validation check routing explicit jsprit solves

Example Prompts for GraphHopper in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with GraphHopper immediately.

01

"Calculate a car route between '40.71, -74.00' and '40.75, -73.98'"

02

"Show me the 10-minute reachability zone from central Berlin"

03

"Reverse geocode these coordinates: '48.85, 2.35'"

Troubleshooting GraphHopper MCP Server with Mastra AI

Common issues when connecting GraphHopper to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

GraphHopper + Mastra AI FAQ

Common questions about integrating GraphHopper MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect GraphHopper to Mastra AI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.