How to Use the Mapbox MCP in Mastra AI

Q: How do I add Mapbox to my Mastra AI agent?

Run npm install @mastra/mcp@latest. Initialize the MCP client with your server URL, call listTools(), and spread the results into your agent's tool array.

Q: Does Mapbox support human-in-the-loop with Mastra AI?

You can enable requireToolApproval on specific operations. If an agent tries to generate a costly getdistancematrix, the system pauses for human confirmation.

Q: How do I get static maps in my workflow?

Call getstaticmap with your desired zoom and dimensions. The tool returns a raw image URL that you can attach to automated email reports.

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Setup Mapbox with Mastra AI

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Automate logistics with Mapbox MCP Server

The `get_distance_matrix` tool calculates exact travel durations between multiple origins and destinations. Your Mastra AI agent uses this data to evaluate delivery routes before dispatching drivers. If a route exceeds a specific time threshold, Mastra's workflow engine branches the logic. It automatically calls `search_nearby` to find a closer warehouse and recalculates the matrix.

Map complex reachable zones

The `get_isochrone` tool builds polygon contours that define exactly how far a driver can travel within a set time limit. You pass the coordinates, and the tool returns the boundary geometry via the MCP connection. Mastra handles API timeouts naturally. If the isochrone calculation takes too long, the framework's exponential backoff retries the request without breaking your application state.

Convert addresses for routing logic

The `geocode` tool translates raw address text into precise longitude and latitude coordinates. Your agent absolutely needs these coordinates to feed into the routing engine. You can build a fallback loop using `reverse_geocode`. If a delivery fails, the agent checks the driver's current coordinates, converts them back to an address, and logs the discrepancy for review.

Setup guide

Set up Mapbox 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 Mapbox 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: "mapbox-mcp-client",
  servers: {
    "mapbox-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Mapbox. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Mapbox MCP in Mastra AI

Run `npm install @mastra/mcp@latest`. Initialize the MCP client with your server URL, call `listTools()`, and spread the results into your agent's tool array.

Mastra's built-in workflow engine manages retries automatically. If you hit an API limit while running `get_directions`, the framework pauses and tries again.

You can enable `requireToolApproval` on specific operations. If an agent tries to generate a costly `get_distance_matrix`, the system pauses for human confirmation.

Call `get_static_map` with your desired zoom and dimensions. The tool returns a raw image URL that you can attach to automated email reports.

The MCP protocol executes inside a zero-trust sandbox. The latitude, longitude, and maneuver instructions exist only during the active connection and are never stored on disk.

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