How to Use the GraphHopper MCP in Mastra AI

Build resilient logistics workflows with Mastra AI and the GraphHopper MCP server for automated, fault-tolerant routing.

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Connect GraphHopper MCP to Mastra AI

Create your Vinkius account to connect GraphHopper to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup GraphHopper with Mastra AI

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Automated VRP workflows in Mastra AI

Define multi-step routing agents that trigger `submit_vrp_optimizer` and handle results through conditional branches. If a route fails to optimize, you can set Mastra to retry or notify an operator. This setup allows you to build complex logic where `poll_vrp_solution` acts as a gatekeeper for your fleet operations. The agent waits for the solution to be ready before proceeding to the next workflow step.

Heavy vehicle routing in Mastra AI

Assign your Mastra agents the ability to use `calculate_heavy_route` to ensure truck-specific constraints are met. The agent evaluates the route and can automatically flag violations if the path is unsuitable. By integrating this tool, your workflow gains the ability to make decisions based on specific road geometries. It turns your agent into a dispatcher that understands physical vehicle limits.

Geospatial data handling in Mastra AI

Clean and validate your location data using `snap_gpx_to_road` within your Mastra agent pipelines. It ensures that raw GPS traces are usable for performance metrics before they hit your database. Your agent can process batches of logs and fix drift issues automatically. This removes manual data cleaning from your team's workload and keeps your metrics accurate.

Setup guide

Set up GraphHopper MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All GraphHopper tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "graphhopper-mcp-client",
  servers: {
    "graphhopper-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "GraphHopper Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to GraphHopper tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent GraphHopper transactions"
);
console.log(result.text);

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Common questions about GraphHopper MCP in Mastra AI

Mastra AI supports automatic retries and custom error handling. If a routing request fails, you can define a fallback path in your workflow to ensure your logistics operations don't stop.

Yes. You can chain multiple tools to build a full routing pipeline. Use the geocoding tools to find stops and the routing matrix tools to order them efficiently.

You can enable tool approval in your client configuration. This forces the agent to pause and ask for confirmation before it executes critical operations like submitting a VRP optimization.

The MCP server is platform-agnostic and connects via standard protocols. You can deploy your agent workflow to any cloud provider while maintaining a stable connection to the routing engine.

All address data is processed in-memory during the agent's execution. We do not store your geocoded results, ensuring that sensitive client locations remain private and ephemeral.

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