Route4Me MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Route4Me 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 Route4Me, 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 Route4Me MCP Server
Connect your conversational assistant directly to Route4Me, the global leader in dynamic route optimization and fleet management software. This integration effectively transforms your AI into an advanced automated dispatcher, empowering you to solve complex multi-stop delivery routes, monitor live GPS telematics, and adjust driver manifestations directly through seamless conversational commands.
The Vercel AI SDK gives every Route4Me tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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
- Solve Complex Routes — Ask your assistant to calculate optimal navigational paths (
create_optimization_problem) minimizing fuel and time, or browse through historically solved logistics clusters (list_optimizations). - Manage Dispatched Fleet — Instantly review all active trips (
list_dispatched_routes) and pull a granular breakdown of stops and ETAs for any specific assigned path (get_route_manifest). - Real-Time GPS & Adjustments — Query live vehicular telemetry (
get_route_gps_tracking) on the fly, or inject unexpected new deliveries into an active driver's day log (insert_stop_into_route) without needing full re-optimizations. - Geocoding & Intelligence — Provide the AI with rough address strings and have it instantly convert them into precise geographic mapping coordinates (
geocode_address).
The Route4Me MCP Server exposes 10 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 Route4Me to Vercel AI SDK via MCP
Follow these steps to integrate the Route4Me 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 10 tools from Route4Me and passes them to the LLM
Why Use Vercel AI SDK with the Route4Me MCP Server
Vercel AI SDK provides unique advantages when paired with Route4Me 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 Route4Me integration everywhere
Built-in streaming UI primitives let you display Route4Me 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
Route4Me + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Route4Me MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Route4Me in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Route4Me tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Route4Me capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Route4Me through natural language queries
Route4Me MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Route4Me to Vercel AI SDK via MCP:
create_optimization_problem
Provide a JSON object with parameters and addresses. Creates a new route optimization problem
delete_dispatched_route
This action is irreversible. Deletes a dispatched route
geocode_address
Converts a freeform address string into geographic coordinates
get_optimization_problem
Retrieves details for a specific route optimization problem
get_route_gps_tracking
Retrieves real-time or historical GPS tracking data for a route
get_route_manifest
Retrieves the manifest (list of stops) for a specific route
insert_stop_into_route
Inserts a new stop into an existing route
list_dispatched_routes
Lists all dispatched routes
list_fleet_vehicles
Lists all vehicles registered in the account
list_optimizations
Lists historical and active route optimization problems
Example Prompts for Route4Me in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Route4Me immediately.
"List all the recently dispatched deliveries today."
"Bring me the ETA and all address details for route '8B9A64'."
"Please geocode the location '123 Main St, New York, NY, 10001'."
Troubleshooting Route4Me MCP Server with Vercel AI SDK
Common issues when connecting Route4Me to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpRoute4Me + Vercel AI SDK FAQ
Common questions about integrating Route4Me 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 Route4Me 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 Route4Me to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.