How to Use the Dashdoc MCP in Mastra AI

Q: How to search Dashdoc shipments within Mastra AI?

You pass the reference keyword to searchtransportsbyreference in your agent tool definition. Mastra AI then uses the result to filter your subsequent workflow steps.

Use the Dashdoc MCP Server in Mastra AI to build automated logistics workflows that handle retries and failures.

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Connect Dashdoc MCP to Mastra AI

Create your Vinkius account to connect Dashdoc 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 Dashdoc with Mastra AI

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Build automated logistics workflows in Mastra AI

Chain your transport operations into reliable sequences. Using `list_transports` inside a Mastra agent means you can trigger follow-up actions if a delivery status remains stuck for too long. Complex logic becomes predictable. You define the branches, and the agent executes the steps based on the real-time data it pulls from your account.

Automate fleet management with Mastra AI agents

Assign drivers and check vehicle status using `list_fleet_drivers` and `list_fleet_trucks`. Your Mastra agent monitors your fleet readiness and alerts you if a truck lacks the required load capacity. It handles the tedious checks for you. By setting up conditional triggers, the agent notifies your team only when a specific criteria for a trailer type is not met.

Control delivery routing via Mastra AI

Sync your site data by calling `create_new_address` and `list_saved_addresses` within your agent workflows. Your system keeps track of gate codes and loading requirements without human intervention. Errors in address data trigger automatic retries. You define the failure recovery, ensuring your logistics operations continue even if a network request drops.

Setup guide

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

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

const result = await agent.generate(
  "List recent Dashdoc 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 Dashdoc. 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 Dashdoc MCP in Mastra AI

You pass the reference keyword to `search_transports_by_reference` in your agent tool definition. Mastra AI then uses the result to filter your subsequent workflow steps.

Yes, you can require human-in-the-loop approval before the agent executes write operations like `create_new_address`. This keeps you in control of your logistics database.

Absolutely, you can build logic that checks the status returned by the server. If the agent finds a transport marked as requested, it can move to confirm it automatically.

Your transport identifiers and business partner details live only in your agent's memory during the workflow execution. We do not store your data on our platform.

We isolate your traffic using a unique endpoint token. Your specific shipping addresses and customer tax identifiers are never stored or logged by our infrastructure.

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