Can my AI calculate the total toll costs for a road trip from New York to Boston?

Yes! Use the `calculate_toll_route` tool with origin="New York, NY" and destination="Boston, MA". You can specify your vehicle type (2AxlesAuto for regular cars, 2AxlesEV for electric vehicles, or truck types like 5AxlesTruck for commercial vehicles). The API returns detailed toll plaza names, tag and cash costs for each plaza, total toll cost, fuel cost estimate, and optional driver cost. You can also request costs in different currencies and compare payment methods (tag vs cash vs prepaid card

How do I get toll costs for a route I already have from Google Maps?

Use the `calculate_toll_from_polyline` tool with the encoded polyline from Google Maps. Set source="google" and paste the polyline string. This calculates tolls for your exact route without re-routing. You can also specify vehicle type and currency. This is perfect when you have an existing route and need toll costs for trip budgeting or fleet expense tracking.

Can I optimize a multi-stop delivery route to minimize toll costs?

Absolutely! Use the `calculate_toll_multi_stop` tool with your origin, destination, and comma-separated waypoints. Set optimize_waypoints="true" to let TollGuru find the most cost-effective waypoint order. The API returns the optimized route with total toll costs, fuel costs, and detailed plaza-by-plaza breakdown. This is essential for logistics planning, delivery route optimization, and fleet cost management.

TollGuru MCP Server for CrewAI 3 tools — connect in under 2 minutes

Name: TollGuru
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 3 Tools Framework

Connect your CrewAI agents to TollGuru through Vinkius, pass the Edge URL in the `mcps` parameter and every TollGuru 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="TollGuru Specialist",
    goal="Help users interact with TollGuru effectively",
    backstory=(
        "You are an expert at leveraging TollGuru 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 TollGuru "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 3 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 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.

When paired with CrewAI, TollGuru becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call TollGuru 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

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 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 TollGuru to CrewAI via MCP

Follow these steps to integrate the TollGuru 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 3 tools from TollGuru

Why Use CrewAI with the TollGuru MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with TollGuru 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

TollGuru + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries TollGuru 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 TollGuru, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain TollGuru 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 TollGuru against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

TollGuru MCP Tools for CrewAI (3)

These 3 tools become available when you connect TollGuru to CrewAI via MCP:

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

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

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 CrewAI

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

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

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

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

Troubleshooting TollGuru MCP Server with CrewAI

Common issues when connecting TollGuru 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.

TollGuru + CrewAI FAQ

Common questions about integrating TollGuru 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.