How to Use the Bringg MCP in Mastra AI

Q: How do I register Bringg tools within a Mastra AI MCP setup?

You initialize the client with new MCPClient and spread the output of mcpClient.listTools() into your agent's tool array. This gives your workflows immediate access to your dispatch network.

Q: How does Mastra AI handle human approval for Bringg driver overrides?

You can configure requireToolApproval on your agent before running assigndrivertotask. This halts the workflow and waits for a dispatcher to confirm the manual assignment.

Run autonomous final-mile workflows with Mastra AI and Bringg.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Bringg MCP to Mastra AI

Create your Vinkius account to connect Bringg 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.

GDPR Free for Subscribers

Setup Bringg with Mastra AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Resolve delivery delays with Mastra AI workflows

`force_task_start` changes a delivery status to en route when a driver forgets to tap their app. Mastra AI detects the driver's GPS location and automatically triggers this state change. If a courier gets stuck, the workflow engine branches to assign a backup. This keeps your delivery metrics green without human dispatchers stepping in.

Keep your fleet synchronized automatically

`list_fleet_drivers` retrieves the list of active couriers currently on duty. Mastra AI uses this data to balance workloads across your entire delivery network. When a driver finishes their route, the workflow triggers `update_task_details` to feed them their next dropoff instructions. It turns manual dispatching into a self-running loop.

Close out completed orders via this MCP Server

`force_task_complete` overrides stuck orders by manually marking them as successfully delivered. Your Mastra AI agents use this tool to clean up the dispatch board at the end of each shift. The agent verifies completion against external data sources before executing the state change. It ensures your billing records stay accurate without manual audits.

Setup guide

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

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

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Bringg. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Bringg now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Bringg MCP in Mastra AI

You initialize the client with `new MCPClient` and spread the output of `mcpClient.listTools()` into your agent's tool array. This gives your workflows immediate access to your dispatch network.

Yes. Mastra AI features a built-in workflow engine that automatically retries the `create_delivery_task` call if your network drops, using exponential backoff.

You can configure `requireToolApproval` on your agent before running `assign_driver_to_task`. This halts the workflow and waits for a dispatcher to confirm the manual assignment.

This setup supports both standard SSE and Streamable HTTP. The client automatically detects the transport type exposed by your Vinkius endpoint.

Yes. Every payload containing delivery task details and driver schedules is processed inside a zero-trust, ephemeral V8 isolate. Your MCP Server coordinates these delivery details without persisting them.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript