OptimoRoute 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 OptimoRoute through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
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 OptimoRoute, 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 OptimoRoute MCP Server
Connect your OptimoRoute account to any AI agent and orchestrate your entire route planning workflow from a single conversation.
The Vercel AI SDK gives every OptimoRoute 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
- Order Management — Create delivery orders with addresses, time windows, and capacity constraints. Delete stale orders before they get routed
- Route Optimization — Queue route planning jobs with specific dates and driver sets, then check solver status or abort long-running computations
- Route Downloads — Download finalized manifest routes showing every optimized stop assigned to each driver
- Scheduling Info — Look up exactly when and where a specific order was scheduled within the optimized plan
- Proof of Delivery — Retrieve completion details including driver signatures, photos, and notes for verification
- Live GPS Tracking — Get real-time GPS coordinates for any driver in your fleet
- Driver Configuration — Update working hours, speed profiles, and load capacities for your drivers
The OptimoRoute 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 OptimoRoute to Vercel AI SDK via MCP
Follow these steps to integrate the OptimoRoute 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 OptimoRoute and passes them to the LLM
Why Use Vercel AI SDK with the OptimoRoute MCP Server
Vercel AI SDK provides unique advantages when paired with OptimoRoute 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 OptimoRoute integration everywhere
Built-in streaming UI primitives let you display OptimoRoute 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
OptimoRoute + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the OptimoRoute MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query OptimoRoute in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate OptimoRoute tools and return structured JSON responses to any frontend
Chatbots with tool use: embed OptimoRoute capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with OptimoRoute through natural language queries
OptimoRoute MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect OptimoRoute to Vercel AI SDK via MCP:
abort_route_planning
Inspect deep internal arrays mitigating specific Time constraints
check_planning_status
Identify precise active arrays spanning native Asynchronous bounds
create_route_order
Identify bounded routing spaces inside the Headless OptimoRoute platform
delete_stale_order
Perform structural extraction of properties driving active Deletions
download_manifest_routes
Enumerate explicitly attached structured rules exporting active Drivers
get_live_driver_gps
Irreversibly vaporize explicit validations extracting Telemetry natively
get_order_pod
Retrieve the exact structural matching verifying Delivery success Proof
get_order_scheduling
Dispatch an automated validation check routing explicit ETA models
queue_route_optimization
Retrieve explicit Cloud logging tracing explicit solver logic
update_driver_shifts
Provision a highly-available JSON Payload generating Truck constraints
Example Prompts for OptimoRoute in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with OptimoRoute immediately.
"Create a delivery order for 200 Main St, Boston with a 2-hour time window from 9 AM to 11 AM."
"Start route optimization for tomorrow with drivers D1, D2, and D3."
"Where is driver D2 right now?"
Troubleshooting OptimoRoute MCP Server with Vercel AI SDK
Common issues when connecting OptimoRoute to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpOptimoRoute + Vercel AI SDK FAQ
Common questions about integrating OptimoRoute 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 OptimoRoute 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 OptimoRoute to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.