How to Use the TollGuru MCP in CrewAI

Q: Can I use TollGuru with CrewAI for optimizing multiple stops?

Yes. Use calculatetollmultistop. You can set up a scenario where the 'Coordinator Agent' feeds the waypoint list to the 'Toll Guru Tool,' which returns the optimized, multi-plaza cost breakdown.

Q: Does TollGuru support different vehicle types in CrewAI?

It does. The calculatetollroute tool supports a wide range of vehicles, from standard cars to 9+ axle commercial trucks. You simply ensure the 'Vehicle Specialist Agent' passes the correct type parameter when calling the function.

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Setup TollGuru with CrewAI

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Perplexity

Design specialized route cost estimators.

The `calculate_toll_route` tool gives your crew a specialized function: calculating total costs for a journey. You assign one agent the role of 'Logistics Planner' and give it access to this MCP Server. It handles inputs like origin, destination, vehicle type, and currency. Because CrewAI runs multiple agents that collaborate, you can set up a system where an 'Analysis Agent' uses TollGuru to get detailed plaza info, then passes that data to a separate 'Reporting Agent' which formats the final trip cost breakdown.

Handle complex multi-destination trips.

For large delivery operations, use `calculate_toll_multi_stop`. You can assign an agent the task of optimizing waypoints. The crew will run this tool to find the minimum cost sequence for a list of stops. This moves beyond simple calculation and into true logistics problem-solving. This collaborative approach is powerful: one agent gathers all waypoint data, another calls `calculate_toll_multi_stop`, and a third confirms the optimized path.

Validate costs from existing maps.

When an external mapping service provides a route polyline, don't recalculate everything. Let your crew use `calculate_toll_from_polyline`. This tool extracts only the necessary toll and fuel cost data for that specific path. It keeps the process lean and focused. This is ideal for autonomous operations where one agent reads map output, and another uses TollGuru to validate the associated financial costs before taking action.

Setup guide

Set up TollGuru MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke TollGuru tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="TollGuru Analyst",
    goal="Access and analyze TollGuru data via MCP.",
    backstory="Expert analyst with direct TollGuru access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent TollGuru transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

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Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="TollGuru Analyst",
        goal="Access and analyze TollGuru data via MCP.",
        backstory="Expert analyst with direct TollGuru access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent TollGuru transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by TollGuru. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about TollGuru MCP in CrewAI

You assign one of your agents the specific role of 'Toll Analyst' and give it access to the TollGuru MCP Server. This ensures that every time an agent needs cost data, it uses the defined tools like `calculate_toll_route` for consistency.

The server processes route geometry (polylines), vehicle specifications, and geographical coordinates. The resulting data shared between agents includes precise financial metrics like tolls, fuel costs, and optimized routing suggestions.

Yes. Use `calculate_toll_multi_stop`. You can set up a scenario where the 'Coordinator Agent' feeds the waypoint list to the 'Toll Guru Tool,' which returns the optimized, multi-plaza cost breakdown.

It does. The `calculate_toll_route` tool supports a wide range of vehicles, from standard cars to 9+ axle commercial trucks. You simply ensure the 'Vehicle Specialist Agent' passes the correct type parameter when calling the function.

It is. By giving your crew access to this MCP Server, you build a trusted source of truth for costs. The agents can independently verify the toll and fuel estimates across different planning stages.

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