Omnitracs Fleet Intelligence 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 Omnitracs Fleet Intelligence 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: {
"omnitracs-fleet-intelligence": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Omnitracs Fleet Intelligence Agent",
instructions:
"You help users interact with Omnitracs Fleet Intelligence " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Omnitracs Fleet Intelligence?"
);
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 Omnitracs Fleet Intelligence MCP Server
Connect your Omnitracs account to your AI agent and streamline your fleet management and logistics operations through natural conversation and real-time data access.
Mastra's agent abstraction provides a clean separation between LLM logic and Omnitracs Fleet Intelligence 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
- Vehicle Tracking — List all fleet vehicles and retrieve current GPS locations and statuses in real-time.
- Driver Oversight — Access a list of all registered drivers and check their current duty statuses and profile details.
- Route Management — View active and scheduled transport routes and inspect detailed stops for any route.
- Shipment Monitoring — Track active shipments and cargo, and retrieve estimated delivery times and statuses.
- Performance Analytics — Access aggregated fleet performance metrics, including fuel efficiency and safety data.
- Dispatch Messaging — List recent messages exchanged between dispatch and vehicles/drivers for operational oversight.
- Deep Inspection — Fetch complete metadata for specific vehicles, drivers, or routes using their unique IDs.
The Omnitracs Fleet Intelligence 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 Omnitracs Fleet Intelligence to Mastra AI via MCP
Follow these steps to integrate the Omnitracs Fleet Intelligence 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 Omnitracs Fleet Intelligence via MCP
Why Use Mastra AI with the Omnitracs Fleet Intelligence MCP Server
Mastra AI provides unique advantages when paired with Omnitracs Fleet Intelligence through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Omnitracs Fleet Intelligence 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 Omnitracs Fleet Intelligence 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
Omnitracs Fleet Intelligence + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Omnitracs Fleet Intelligence MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Omnitracs Fleet Intelligence, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Omnitracs Fleet Intelligence as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Omnitracs Fleet Intelligence on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Omnitracs Fleet Intelligence tools alongside other MCP servers
Omnitracs Fleet Intelligence MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Omnitracs Fleet Intelligence to Mastra AI via MCP:
get_driver_details
Get specific driver info
get_fleet_performance
Get fleet performance metrics
get_route_stops
List stops for a specific route
get_shipment_status
Get specific shipment status
get_vehicle_location
Get vehicle GPS location
list_active_routes
List active fleet routes
list_fleet_drivers
List all registered drivers
list_fleet_messages
List recent fleet messages
list_fleet_shipments
List active shipments
list_fleet_vehicles
List all fleet vehicles
Example Prompts for Omnitracs Fleet Intelligence in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Omnitracs Fleet Intelligence immediately.
"List all vehicles currently in my fleet."
"Where is driver 'John Doe' right now?"
"Show me the performance report for the fleet this week."
Troubleshooting Omnitracs Fleet Intelligence MCP Server with Mastra AI
Common issues when connecting Omnitracs Fleet Intelligence to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpOmnitracs Fleet Intelligence + Mastra AI FAQ
Common questions about integrating Omnitracs Fleet Intelligence 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 Omnitracs Fleet Intelligence 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 Omnitracs Fleet Intelligence to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.