DROPBOY MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect DROPBOY through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"dropboy": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "DROPBOY Agent",
instructions:
"You help users interact with DROPBOY " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with DROPBOY?"
);
console.log(result.text);
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About DROPBOY MCP Server
Integrate DROPBOY, the advanced logistics and delivery management platform, directly into your AI workflow. Manage your inbound and outbound delivery orders, track fleet vehicles and their operational status, monitor driver assignments and route history, and oversee your entire logistics operation using natural language.
Mastra's agent abstraction provides a clean separation between LLM logic and DROPBOY tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
What you can do
- Order Oversight — List and retrieve detailed information and real-time status for all your logistics and delivery orders.
- Fleet Intelligence — Monitor fleet vehicles, including types, capacities, and current operational statuses across your organization.
- Driver Management — Track driver profiles, contact details, and active vehicle assignments to ensure efficient fulfillment.
- Logistics Auditing — Retrieve high-level summaries of fleet activity, delivery success rates, and active in-progress shipments.
The DROPBOY MCP Server exposes 10 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect DROPBOY to Mastra AI via MCP
Follow these steps to integrate the DROPBOY MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from DROPBOY via MCP
Why Use Mastra AI with the DROPBOY MCP Server
Mastra AI provides unique advantages when paired with DROPBOY through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add DROPBOY without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every DROPBOY tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
DROPBOY + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the DROPBOY MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query DROPBOY, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed DROPBOY as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query DROPBOY on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using DROPBOY tools alongside other MCP servers
DROPBOY MCP Tools for Mastra AI (10)
These 10 tools become available when you connect DROPBOY to Mastra AI via MCP:
get_driver_profile
Get full profile and route history for a specific driver
get_dropboy_account_metadata
Retrieve metadata and limits for your DROPBOY account
get_order_details
Get detailed information and real-time status for a specific order
list_active_deliveries
Identify orders that are currently in the "In Progress" or "Out for Delivery" status
list_fleet_drivers
List all drivers registered in your DROPBOY organization
list_fleet_vehicles
List all vehicles registered in your DROPBOY fleet
list_latest_logistics_orders
Identify the most recently created delivery orders
list_logistics_orders
List all logistics and delivery orders in your DROPBOY account
quick_fleet_status_audit
Retrieve a high-level summary of fleet activity and vehicle availability
search_logistics_orders
Search for orders using an order number or delivery address
Example Prompts for DROPBOY in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with DROPBOY immediately.
"List all active delivery orders."
"Show me the status of our fleet vehicles."
"Search for order 'ORD-9988'."
Troubleshooting DROPBOY MCP Server with Mastra AI
Common issues when connecting DROPBOY to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpDROPBOY + Mastra AI FAQ
Common questions about integrating DROPBOY MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect DROPBOY with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect DROPBOY to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.