• OPTIMIZED
  • CONSTRAINED
  • MONITORED
  • HUMAN

How to optimize vehicle delivery routes with your AI

Connect GraphHopper to your agent to handle complex logistics. Once connected, your AI manages the math behind fleet capacity and scheduling constraints.

Ask AI about this page

Short answer

How can I use AI to optimize my vehicle delivery routes?

Your agent sends your fleet data and constraints to GraphHopper to generate optimized paths. It then monitors the progress until the solution is ready. You get routes that respect vehicle limits and delivery windows.

Route optimization outcomes

Where your routes land.

What happens after you provide your fleet data.

OPTIMIZED

Efficient route plans

The AI calculates the best sequence of stops. You receive paths that minimize travel while hitting every window.

CONSTRAINED

Capacity management

The agent ensures no vehicle is overloaded. It maps stops to specific trucks based on their volume limits.

MONITORED

Real-time tracking

Your AI watches the calculation process. It stays active until the routing engine finishes the heavy lifting.

HUMAN

Final route review

The AI provides the data, but you decide if the plan works for your drivers. You make the final call on the generated schedule.

The workflow

What your AI does when the data arrives.

The AI handles the heavy computation so you don't have to manually sequence stops.

  1. Submit constraints

    Your agent sends your vehicle capacities, time windows, and stop locations to the routing engine.

    submit_vrp_optimizer

  2. Track progress

    The AI checks the status of the optimization task to see if the engine has finished the calculation.

    poll_vrp_solution

  3. Retrieve results

    Once the calculation is complete, the agent pulls the optimized sequence of stops and vehicle assignments.

    poll_vrp_solution

  4. Verify constraints

    The AI confirms that the resulting routes stay within the capacity and time limits you provided.

    poll_vrp_solution

Try it

Copy these to start.

Use these prompts to kick off your routing tasks.

Starting points

Replace the bracketed info with your actual fleet data, such as vehicle volumes or specific delivery windows.

GraphHopper Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_cQUPJxjf4FYe5KOaZuMFakr1XD1twCbw4cSXR3BG/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — GraphHopper capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "graphhopper-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_cQUPJxjf4FYe5KOaZuMFakr1XD1twCbw4cSXR3BG/mcp"
    }
  }
}
Copy into chat04

  • Optimize a route for 5 vehicles with a total capacity of 500kg and these 20 delivery stops: [list stops].

  • Check the status of my current routing optimization task.

  • Create a delivery plan for my fleet that respects these specific time windows: [list windows].

  • Run a new vehicle routing problem using these vehicle capacities: [list capacities].

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect GraphHopper once, then ask.

Just link your account once. Your credentials stay encrypted, and you can start running optimizations immediately in your preferred AI client.

Connect GraphHopper to your AI

FAQ

How this task behaves

  • 01

    Can the AI automatically dispatch drivers once the route is ready?

    No. The AI only handles the route optimization and data retrieval. You must send the routes to your drivers yourself.

  • 02

    Can the AI change my vehicle capacity settings on the fly?

    No. The AI can only use the capacity constraints you provide in your prompt to run the optimizer.

  • 03

    Does the AI handle real-time traffic updates?

    The AI uses the data provided to the optimizer, which includes the constraints you submit.

  • 04

    How does the AI know when the route is finished?

    The agent uses a polling tool to check the status of the optimization task until it is complete.

  • 05

    Can I ask the AI to fix a route that is already running?

    No. The AI can only submit new optimization requests or check the status of existing ones.

  • More questions about GraphHopper? The Connector page answers them. See everything the GraphHopper Connector can do

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