Fleetio MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Fleetio through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Fleetio, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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 Fleetio MCP Server
Connect your Fleetio account to any AI agent and automate your fleet management workflows through the Model Context Protocol (MCP). Fleetio provides a centralized platform for tracking vehicle data, maintenance schedules, fuel consumption, and compliance. Now, you can monitor your fleet operations directly through natural conversation.
The Vercel AI SDK gives every Fleetio tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Vehicle Management — List all vehicles in your fleet, fetch detailed metadata including VIN and license plates, and retrieve specific vehicle profiles.
- Maintenance Tracking — Monitor reported issues, list active work orders, and fetch upcoming service reminders to keep your fleet in top shape.
- Meter & Data Entry — Record new odometer or hour meter readings and report new vehicle issues directly from the agent.
- Fuel Monitoring — Retrieve historical fuel entries to track consumption and costs across your operations.
- Directory Access — List organization contacts (drivers, managers) and vendors/service providers for better team and supplier context.
- Real-time Monitoring — Fetch specific maintenance reminders or issue details to ensure operational safety and compliance.
The Fleetio MCP Server exposes 12 tools through the Vinkius. Connect it to Vercel AI SDK 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 Fleetio to Vercel AI SDK via MCP
Follow these steps to integrate the Fleetio MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 12 tools from Fleetio and passes them to the LLM
Why Use Vercel AI SDK with the Fleetio MCP Server
Vercel AI SDK provides unique advantages when paired with Fleetio through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Fleetio integration everywhere
Built-in streaming UI primitives let you display Fleetio tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Fleetio + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Fleetio MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Fleetio in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Fleetio tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Fleetio capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Fleetio through natural language queries
Fleetio MCP Tools for Vercel AI SDK (12)
These 12 tools become available when you connect Fleetio to Vercel AI SDK via MCP:
create_issue
Report a new issue
create_meter_entry
Add vehicle meter reading
get_issue
Get issue details
get_service_reminder
Get reminder details
get_vehicle
Get vehicle details
list_contacts
List fleet contacts
list_fuel_entries
List fuel entries
list_issues
List vehicle issues
list_service_reminders
List service reminders
list_vehicles
List all vehicles
list_vendors
List fleet vendors
list_work_orders
List work orders
Example Prompts for Fleetio in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Fleetio immediately.
"List all active vehicles in my fleet and their current status."
"Record a new odometer reading of 50,000 for vehicle ID 'veh_123'."
"Show me all upcoming service reminders."
Troubleshooting Fleetio MCP Server with Vercel AI SDK
Common issues when connecting Fleetio to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpFleetio + Vercel AI SDK FAQ
Common questions about integrating Fleetio MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Fleetio 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 Fleetio to Vercel AI SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.