Routific 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 Routific 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 Routific, 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 Routific MCP Server
Connect your conversational assistant directly to Routific, a premier logistics scaling platform. This integration seamlessly turns your AI into an advanced delivery dispatcher, allowing you to build multi-stop route solutions securely, manage outstanding delivery jobs, and proactively push dispatch tasks directly to drivers' mobile apps natively in one window.
The Vercel AI SDK gives every Routific 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
- Automate VRP Computations — Submit basic logistics parameters (
solve_standalone_vrp) or delegate massive multi-depot configurations organically (solve_async_vrp_long) and query asynchronous status returns effortlessly (poll_async_solution). - Control Saas Delivery Jobs — Tell the AI to actively audit outstanding orders (
list_platform_jobs) or create fresh delivery injections accurately handling order constraints and priorities directly into the system (create_saas_job,update_saas_job). - Assemble & Publish Timelines — Review the resulting stop-by-stop ETAs securely calculated by algorithms natively inside the interface (
get_route_timeline). Once completely satisfied, simply push the finalized route natively to the targeted driver's phone with an organic command (publish_route_to_driver).
The Routific 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 Routific to Vercel AI SDK via MCP
Follow these steps to integrate the Routific 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 Routific and passes them to the LLM
Why Use Vercel AI SDK with the Routific MCP Server
Vercel AI SDK provides unique advantages when paired with Routific 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 Routific integration everywhere
Built-in streaming UI primitives let you display Routific 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
Routific + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Routific MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Routific in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Routific tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Routific capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Routific through natural language queries
Routific MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Routific to Vercel AI SDK via MCP:
cancel_saas_job
This action is irreversible. Cancels and deletes a delivery job from the platform
create_platform_route
Creates a new route plan in the platform
create_saas_job
Provide a JSON object with order details. Creates a new delivery job in the platform
get_route_timeline
Retrieves the stop-by-stop timeline for a route
list_platform_jobs
Lists all delivery jobs in the Routific platform
poll_async_solution
Polls the status of an asynchronous VRP job
publish_route_to_driver
Publishes a route to the driver's mobile app
solve_async_vrp_long
Returns a job ID for polling. Submits a large Vehicle Routing Problem for asynchronous solving
solve_standalone_vrp
Provide a JSON object with visits, fleet, and options. Solves a standalone Vehicle Routing Problem synchronously
update_saas_job
Updates an existing delivery job
Example Prompts for Routific in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Routific immediately.
"List all current delivery jobs pending in the platform right now."
"Generate a standalone route resolving 4 pending visits."
"Publish the finalized route to the designated driver's mobile app."
Troubleshooting Routific MCP Server with Vercel AI SDK
Common issues when connecting Routific to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpRoutific + Vercel AI SDK FAQ
Common questions about integrating Routific 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 Routific 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 Routific to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.