Can my AI check for low bridges on a truck route in California?

Yes! Use the `get_bridge_clearances` tool with jurisdiction=CA to get all bridge clearance data for California. You can also filter by bounding box or radius from specific coordinates. The API returns bridge locations, clearance heights in feet, bridge identifiers, and road names. This is essential for truck height compliance planning and avoiding low-bridge incidents.

How do I find truck parking near a specific location for HOS compliance?

Use the `get_truck_parking` tool with lat, lon, and radius parameters to find truck parking facilities near your current location. For example: lat=41.8781, lon=-87.6298, radius=50 finds parking within 50km of Chicago. Results include facility names, coordinates, capacity information, and amenity details. This is critical for Hours of Service (HOS) compliance planning and safe rest stop identification.

Are there any seasonal weight restrictions affecting my route right now?

Use the `get_weight_restrictions` tool with jurisdiction and status=active to find all current weight restrictions in a state or province. You can also filter by specific road name (e.g., road=I-94) to check restrictions on a particular highway. Returns restriction details, weight limits, effective dates, and affected road segments. Essential for avoiding weight violation fines and planning compliant loads.

Road511 Trucking MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: Road511 Trucking
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Road511 Trucking through Vinkius, pass the Edge URL in the `mcps` parameter and every Road511 Trucking tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Road511 Trucking Specialist",
    goal="Help users interact with Road511 Trucking effectively",
    backstory=(
        "You are an expert at leveraging Road511 Trucking tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Road511 Trucking "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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* 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.

When paired with CrewAI, Road511 Trucking becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Road511 Trucking tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the Road511 Trucking MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from Road511 Trucking

Why Use CrewAI with the Road511 Trucking MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Road511 Trucking through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Road511 Trucking + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Road511 Trucking MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Road511 Trucking for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Road511 Trucking, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Road511 Trucking tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Road511 Trucking against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Road511 Trucking MCP Tools for CrewAI (10)

These 10 tools become available when you connect Road511 Trucking to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

Common issues when connecting Road511 Trucking to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Road511 Trucking + CrewAI FAQ

Common questions about integrating Road511 Trucking MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.