Road511 Trucking 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 Road511 Trucking 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 Road511 Trucking, 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 Road511 Trucking MCP Server
Connect your Road511 Trucking API to any AI agent and take full control of North American truck route planning, bridge clearance verification, weigh station awareness, truck stop discovery, and weight restriction monitoring through natural conversation.
The Vercel AI SDK gives every Road511 Trucking 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
- STAA Truck Routes — Access 479,000+ STAA-designated truck route segments and NHFN freight corridors
- Bridge Clearances — Query 621,000+ National Bridge Inventory records for vertical clearance heights
- Weight Restrictions — Monitor seasonal and permanent weight restrictions across all jurisdictions
- Truck Stops — Find truck stops and travel plazas with fuel, amenities, and parking information
- Truck Parking — Locate truck parking facilities with availability data for HOS compliance planning
- Weigh Stations — Track weigh station locations, hours, and bypass program participation
- Rest Areas — Find rest areas and driver facilities along major highway corridors
- Truck Incidents — Monitor traffic incidents, construction, and closures affecting truck routes
- System Health — Check API health and data source status across 65 jurisdictions
The Road511 Trucking 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 Road511 Trucking to Vercel AI SDK via MCP
Follow these steps to integrate the Road511 Trucking 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 Road511 Trucking and passes them to the LLM
Why Use Vercel AI SDK with the Road511 Trucking MCP Server
Vercel AI SDK provides unique advantages when paired with Road511 Trucking 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 Road511 Trucking integration everywhere
Built-in streaming UI primitives let you display Road511 Trucking 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
Road511 Trucking + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Road511 Trucking MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Road511 Trucking in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Road511 Trucking tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Road511 Trucking capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Road511 Trucking through natural language queries
Road511 Trucking MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Road511 Trucking to Vercel AI SDK via MCP:
get_bridge_clearances
Returns bridge location coordinates, clearance height in feet/meters, bridge identifier, road name, and jurisdiction. Supports filtering by jurisdiction, bounding box, and radius search. Essential for truck height compliance planning, low bridge avoidance, oversized load routing, and fleet safety management. AI agents should use this when users ask "find low bridges under 14 feet on I-95", "what bridge clearances exist in this area", or need vertical clearance data for truck route planning. Get bridge clearance heights from the National Bridge Inventory for truck route planning
get_rest_areas
Returns facility names, locations, available amenities (restrooms, vending, picnic areas, pet areas, RV/truck parking), operating hours, and jurisdiction. Supports filtering by jurisdiction, bounding box, and radius search. Essential for driver rest planning, HOS compliance stops, facility identification along routes, and driver comfort services. AI agents should reference this when users ask "show rest areas along I-90 in Montana", "find rest stops with truck parking near this point", or need rest area data for driver scheduling and route planning. Get rest areas and driver facilities along highways across US and Canada
get_truck_incidents
Returns incident type, severity, affected roads, start and end times, descriptions, detour information, and geometry. Supports filtering by jurisdiction, road name, severity, status, and geographic area. Essential for route disruption awareness, detour planning, delivery time estimation, and freight safety. AI agents should use this when users ask "show incidents affecting truck routes in Illinois", "is there construction on I-80 in Pennsylvania", or need current traffic incident data for truck route planning. Get traffic incidents affecting truck routes including closures, construction, and advisories
get_truck_parking
Returns parking facility names, locations, capacity information, real-time availability (where available), amenity details, and jurisdiction. Supports filtering by jurisdiction, bounding box, and radius search. Essential for Hours of Service (HOS) compliance planning, rest stop scheduling, parking shortage awareness, and safe stopping location identification. AI agents should reference this when users ask "where can I park my truck near Chicago", "show truck parking availability along I-70", or need parking location data for HOS-compliant route planning. Get truck parking availability and locations across US and Canada
get_truck_routes
Returns route geometry, jurisdiction, route designation, and descriptive information. Supports filtering by jurisdiction (state/province), bounding box, and radius search from coordinates. Essential for truck route planning, freight corridor analysis, compliance verification, and logistics routing. AI agents should use this when users ask "show me STAA truck routes in California", "find NHFN corridors in Texas", or need official truck-designated highway data for route planning and compliance. Get STAA truck routes and NHFN freight corridors across US and Canada
get_truck_stops
Returns stop names, addresses, coordinates, available services (fuel, food, showers, repair), and operating hours. Supports filtering by jurisdiction, bounding box, and radius search. Essential for trip planning, fuel stop scheduling, driver rest planning, and freight corridor services identification. AI agents should use this when users ask "find truck stops along I-80 in Iowa", "show travel plazas within 50 miles of this point", or need truck stop locations for route planning and driver scheduling. Get truck stops and travel plazas across US and Canada for trip planning
get_trucking_health
Returns API availability, response times, data source connectivity per jurisdiction, last update timestamps, and system alerts. Essential for monitoring API reliability, verifying data freshness, troubleshooting integration issues, and ensuring production system uptime. AI agents should use this as a diagnostic tool when users report missing trucking data, when debugging integration issues, or as a periodic health check before making complex trucking data queries. Check API health and trucking data source status
get_trucking_summary
Returns counts of truck routes, bridge clearances, weigh stations, truck stops, parking facilities, active incidents, and data source status. Essential for data coverage awareness, system health monitoring, and understanding data availability by region. AI agents should use this when users ask "how many truck stops are in the system", "is the Texas weigh station data current", or need a system-wide overview of trucking data quality and coverage. Get summary statistics and data source health for trucking data across all jurisdictions
get_weigh_stations
Returns station names, locations, operating hours, bypass program participation (PrePass, Drivewyze, NORPASS), open/closed status, and jurisdiction. Supports filtering by jurisdiction, bounding box, and radius search. Essential for compliance planning, bypass program routing, weigh stop scheduling, and weight inspection awareness. AI agents should use this when users ask "show weigh stations on I-5 in Oregon", "are there open weigh stations near this location", or need weigh station data for route planning and compliance management. Get weigh station locations and status across US and Canada
get_weight_restrictions
Returns restriction details including affected roads, weight limits, effective dates, restriction type (seasonal, permanent, temporary), severity, and jurisdiction. Supports filtering by jurisdiction, road name, severity, and geographic area. Essential for weight compliance verification, seasonal route planning, load planning, and avoiding weight violation fines. AI agents should reference this when users ask "are there seasonal weight restrictions in Minnesota right now", "show weight limits on this route", or need current weight restriction data for freight planning. Get truck weight restrictions including seasonal restrictions across US and Canada
Example Prompts for Road511 Trucking in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Road511 Trucking immediately.
"Show me all weigh stations on I-5 in Oregon and their current status."
"Find truck stops with parking within 30 miles of Des Moines, Iowa."
"Show me STAA truck routes and any active incidents affecting trucking in Illinois."
Troubleshooting Road511 Trucking MCP Server with Vercel AI SDK
Common issues when connecting Road511 Trucking to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpRoad511 Trucking + Vercel AI SDK FAQ
Common questions about integrating Road511 Trucking 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 Road511 Trucking with your favorite client
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Connect Road511 Trucking to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.