Road511 Trucking MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Road511 Trucking through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Road511 Trucking "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Road511 Trucking?"
)
print(result.data)
asyncio.run(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.
Pydantic AI validates every Road511 Trucking tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic AI 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 Pydantic AI via MCP
Follow these steps to integrate the Road511 Trucking MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Road511 Trucking with type-safe schemas
Why Use Pydantic AI with the Road511 Trucking MCP Server
Pydantic AI provides unique advantages when paired with Road511 Trucking through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Road511 Trucking integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Road511 Trucking connection logic from agent behavior for testable, maintainable code
Road511 Trucking + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Road511 Trucking MCP Server delivers measurable value.
Type-safe data pipelines: query Road511 Trucking with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Road511 Trucking tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Road511 Trucking and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Road511 Trucking responses and write comprehensive agent tests
Road511 Trucking MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Road511 Trucking to Pydantic AI 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 Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting Road511 Trucking to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiRoad511 Trucking + Pydantic AI FAQ
Common questions about integrating Road511 Trucking MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
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Connect Road511 Trucking to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.