Axle 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 Axle 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 Axle, 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 Axle MCP Server
Empower your AI agent to orchestrate your entire logistics operation with Axle, the comprehensive fleet management platform. By connecting Axle to your agent, you transform complex supply chain monitoring into a natural conversation. Your agent can instantly track real-time vehicle locations, audit driver duty statuses, monitor shipment progress, and retrieve essential shipping documents without you ever touching a heavy transportation dashboard. Whether you're managing a local delivery crew or a national trucking network, your agent acts as a real-time dispatch coordinator, ensuring your fleet is always moving and compliant.
The Vercel AI SDK gives every Axle 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 Tracking — List all vehicles in your fleet and retrieve real-time GPS locations and technical health details.
- Driver Management — Audit driver profiles, monitor current duty statuses (On Duty, Driving, etc.), and check available Hours of Service (HOS).
- Load Orchestration — Monitor shipment progress, list active loads, and update shipment details dynamically via natural language.
- Document Retrieval — Access scanned shipping documents and paperwork associated with specific loads for instant auditing.
- System Health — Quickly verify connection status and logistics network integrity directly from your chat interface.
The Axle 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 Axle to Vercel AI SDK via MCP
Follow these steps to integrate the Axle 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 Axle and passes them to the LLM
Why Use Vercel AI SDK with the Axle MCP Server
Vercel AI SDK provides unique advantages when paired with Axle 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 Axle integration everywhere
Built-in streaming UI primitives let you display Axle 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
Axle + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Axle MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Axle in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Axle tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Axle capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Axle through natural language queries
Axle MCP Tools for Vercel AI SDK (12)
These 12 tools become available when you connect Axle to Vercel AI SDK via MCP:
get_account_check
Verify Axle connection and system health
get_driver
Get specific profile details for a driver
get_driver_availability
Check a driver remaining hours of service (HOS)
get_load
Get details for a specific load
get_vehicle
Get specific details for a single vehicle
get_vehicle_location
Get the last known GPS location of a vehicle
list_documents
Retrieve scanned shipping documents associated with shipments
list_drivers
List all drivers in the system
list_loads
List all shipments/loads
list_vehicles
List all vehicles in the fleet
update_driver_status
Update a driver current duty status
update_load
Update a load/shipment details
Example Prompts for Axle in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Axle immediately.
"Where is vehicle ID 'TRUCK-101' right now?"
"List all active loads and their current status."
"Check the available Hours of Service (HOS) for driver 'John Doe'."
Troubleshooting Axle MCP Server with Vercel AI SDK
Common issues when connecting Axle to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpAxle + Vercel AI SDK FAQ
Common questions about integrating Axle 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 Axle 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 Axle to Vercel AI SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.