Arrivy MCP Server for Mastra AI 9 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Arrivy through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
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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: {
"arrivy": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Arrivy Agent",
instructions:
"You help users interact with Arrivy " +
"using 9 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Arrivy?"
);
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 Arrivy MCP Server
The Arrivy MCP Server empowers your AI agent to coordinate field operations and last-mile delivery directly from your workspace. Seamlessly manage your mobile workforce, track job progress, and engage with customers using natural language.
Mastra's agent abstraction provides a clean separation between LLM logic and Arrivy tool infrastructure. Connect 9 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.
Key Features
- Task Orchestration — List, create, and update service tasks or delivery jobs with real-time status tracking.
- Crew Management — Monitor field personnel and resource assignments to ensure efficient job allocation.
- Customer Engagement — Manage customer records and sync service history for better communication.
- Location Tracking — Access real-time location data and ETAs for your field technicians and delivery drivers.
- Digital Workflow — Access data captured in the field, including forms, photos, and status updates.
- Seamless Integration — Connect your Arrivy operations with your AI-assisted project management and support workflows.
Benefits for Teams
- Operations Managers — Quickly audit active jobs and crew statuses without leaving your AI dashboard.
- Dispatchers — Use AI to quickly create and assign new tasks based on customer requests.
- Customer Success — Retrieve job history and ETAs instantly to provide accurate updates to clients.
The Arrivy MCP Server exposes 9 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 Arrivy to Mastra AI via MCP
Follow these steps to integrate the Arrivy 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 9 tools from Arrivy via MCP
Why Use Mastra AI with the Arrivy MCP Server
Mastra AI provides unique advantages when paired with Arrivy through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Arrivy 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 Arrivy 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
Arrivy + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Arrivy MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Arrivy, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Arrivy as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Arrivy on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Arrivy tools alongside other MCP servers
Arrivy MCP Tools for Mastra AI (9)
These 9 tools become available when you connect Arrivy to Mastra AI via MCP:
create_customer
Create a new customer record
create_task
Create a new service task in Arrivy
get_account_check
Verify Arrivy account connection
get_task
Get details for a specific task
list_crews
List all field crews and personnel
list_customers
List all customers in the system
list_locations
List all tracked locations
list_tasks
List all service tasks in Arrivy
update_task
Update an existing service task
Example Prompts for Arrivy in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Arrivy immediately.
"List all scheduled tasks for today in Arrivy."
"Create a new task 'Emergency Leak Repair' at '123 Maple St'."
"Show me the status of task ID 'T12345'."
Troubleshooting Arrivy MCP Server with Mastra AI
Common issues when connecting Arrivy to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpArrivy + Mastra AI FAQ
Common questions about integrating Arrivy 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 Arrivy 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 Arrivy to Mastra AI
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.