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Upper Route Planner MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 6 tools to Check Upper Status, Create Upper Delivery Task, Get Upper Route Stop, and more

Built by Vinkius GDPR 6 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Upper Route Planner 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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The Upper Route Planner app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 6 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

typescript
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 Upper Route Planner, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Upper Route Planner
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* 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 Upper Route Planner MCP Server

Connect your Upper Route Planner account to any AI agent and take full control of your delivery logistics and high-fidelity route orchestration through natural conversation.

The Vercel AI SDK gives every Upper Route Planner tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 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

  • Route Portfolio Orchestration — List all optimized delivery routes, retrieve detailed high-fidelity status metadata, and monitor route duration programmatically
  • Stop & Task Intelligence — Access your complete directory of high-fidelity route stops and tasks to stay on top of field delivery progress in real-time
  • Logistics Provisioning — Programmatically generate new high-fidelity delivery tasks with precise time windows and customer metadata directly through your agent
  • Driver Monitoring Architecture — Access high-fidelity driver assignments and resource allocation details to understand and orchestrate your field workforce
  • Stop Detail Discovery — Access complete high-fidelity metadata for specific delivery stops to maintain perfect contextual alignment for every parcel
  • Operational Monitoring — Verify account-level API connectivity and monitor route orchestration volume directly through your agent for perfectly coordinated service scaling

The Upper Route Planner MCP Server exposes 6 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.

All 6 Upper Route Planner tools available for Vercel AI SDK

When Vercel AI SDK connects to Upper Route Planner through Vinkius, your AI agent gets direct access to every tool listed below — spanning route-optimization, delivery-management, fleet-tracking, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

check_upper_status

Check API Status

create_upper_delivery_task

Add a delivery task

get_upper_route_stop

Get specific route stop

get_upper_stop_details

Get stop details

list_upper_drivers

List delivery drivers

list_upper_routes

List delivery routes

Connect Upper Route Planner to Vercel AI SDK via MCP

Follow these steps to wire Upper Route Planner into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 6 tools from Upper Route Planner and passes them to the LLM

Why Use Vercel AI SDK with the Upper Route Planner MCP Server

Vercel AI SDK provides unique advantages when paired with Upper Route Planner through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Upper Route Planner integration everywhere

03

Built-in streaming UI primitives let you display Upper Route Planner tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Upper Route Planner + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Upper Route Planner MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Upper Route Planner in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Upper Route Planner tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Upper Route Planner capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Upper Route Planner through natural language queries

Example Prompts for Upper Route Planner in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Upper Route Planner immediately.

01

"List all delivery routes scheduled for today."

02

"Create a new delivery task for '123 Tech St' with contact 'John Doe'."

03

"Check the status of route stop 'stop_456'."

Troubleshooting Upper Route Planner MCP Server with Vercel AI SDK

Common issues when connecting Upper Route Planner to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Upper Route Planner + Vercel AI SDK FAQ

Common questions about integrating Upper Route Planner MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.