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TollGuru MCP Server for Vercel AI SDK 3 tools — connect in under 2 minutes

Built by Vinkius GDPR 3 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect TollGuru through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

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 TollGuru, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
TollGuru
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 TollGuru MCP Server

Connect your TollGuru toll calculation API to any AI agent and take full control of trip cost estimation, toll plaza tracking, route optimization, and fleet expense management across 50+ countries through natural conversation.

The Vercel AI SDK gives every TollGuru tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 3 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

  • Toll Calculation — Calculate toll costs for any route with detailed plaza-by-plaza breakdown including tag and cash prices
  • Fuel Cost Estimation — Get fuel cost estimates based on vehicle efficiency and current fuel prices along the route
  • Driver Cost Analysis — Calculate driver costs based on hourly wage or time value for complete trip budgeting
  • Multi-Stop Routes — Calculate tolls for routes with multiple waypoints and optimize waypoint order to minimize tolls
  • Route Optimization — Find the most cost-effective route between origin and destination with toll-aware routing
  • Polyline Toll Calculation — Calculate tolls for existing routes from Google Maps, Here Maps, or Mapbox polylines
  • Vehicle-Specific Pricing — Get accurate toll costs for any vehicle type from 2-axle cars to 9-axle commercial trucks
  • Multi-Currency Support — View costs in USD, CAD, MXN, EUR, GBP, INR, AUD, and 12+ other currencies
  • Payment Method Breakdown — Compare toll costs by payment method (tag, cash, prepaid card, license plate)
  • Global Coverage — Calculate tolls across US, Canada, Mexico, Europe, Australia, India, and 50+ countries

The TollGuru MCP Server exposes 3 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 TollGuru to Vercel AI SDK via MCP

Follow these steps to integrate the TollGuru MCP Server with Vercel AI SDK.

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 3 tools from TollGuru and passes them to the LLM

Why Use Vercel AI SDK with the TollGuru MCP Server

Vercel AI SDK provides unique advantages when paired with TollGuru 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 TollGuru integration everywhere

03

Built-in streaming UI primitives let you display TollGuru 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

TollGuru + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the TollGuru MCP Server delivers measurable value.

01

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

02

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

03

Chatbots with tool use: embed TollGuru capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with TollGuru through natural language queries

TollGuru MCP Tools for Vercel AI SDK (3)

These 3 tools become available when you connect TollGuru to Vercel AI SDK via MCP:

01

calculate_toll_from_polyline

This is useful when you already have a route from a mapping service and need toll calculations without re-routing. Returns the same detailed toll, fuel, and cost information as the route calculation. Supports all vehicle types, currencies, and payment methods. Essential for integrating with existing mapping applications, post-trip toll reconciliation, and GPS track-based toll analysis. AI agents should use this when users have an existing route polyline from Google Maps, Here Maps, or another service and need toll costs for that specific route. Calculate tolls for a route defined by an encoded polyline from any mapping service

02

calculate_toll_multi_stop

Returns detailed breakdown of tolls at each plaza along the complete route, fuel costs, and optional driver costs. Supports waypoint optimization to minimize total toll costs. Essential for delivery route planning, multi-stop trip budgeting, and logistics optimization. AI agents should use this when users need toll calculations for routes with multiple stops, such as "calculate tolls from Chicago to Detroit with stops in Toledo and Ann Arbor" or "what are the toll costs for my delivery route with 5 waypoints". Calculate tolls for a multi-stop route with multiple waypoints

03

calculate_toll_route

Returns detailed toll plaza information including plaza names, tag and cash costs, payment methods accepted, and route optimization suggestions. Also calculates fuel costs based on vehicle efficiency and current fuel prices, and optional driver costs based on time value. Supports all vehicle types including 2-axle cars, EVs, motorcycles, and commercial trucks (2-9+ axles). You can request route optimization to minimize toll costs, specify currency output (USD, CAD, MXN, EUR, GBP, INR, AUD, etc.), and choose mapping service (Here Maps, Google Maps, or TollGuru internal). Essential for fleet management, trip cost estimation, route planning, toll reconciliation, and travel budgeting. AI agents should use this when users ask "what are the tolls from New York to Boston", "calculate toll costs for my truck from LA to San Francisco", or need comprehensive trip cost breakdowns including tolls, fuel, and driver time. Calculate tolls and total trip costs for a route with origin, destination, and optional waypoints

Example Prompts for TollGuru in Vercel AI SDK

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

01

"Calculate toll costs for a car trip from San Francisco to Los Angeles."

02

"What are the toll costs for a 5-axle truck from Chicago to Detroit?"

03

"Optimize a delivery route with stops in Philadelphia, Baltimore, and Washington DC starting from New York."

Troubleshooting TollGuru MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

TollGuru + Vercel AI SDK FAQ

Common questions about integrating TollGuru 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.

Connect TollGuru to Vercel AI SDK

Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.