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How to Use the TollGuru Alternative MCP in Pydantic AI

Get type-safe toll cost analytics with the Pydantic AI framework.

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Connect TollGuru Alternative MCP to Pydantic AI

Create your Vinkius account to connect TollGuru Alternative to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Calculate costs from addresses or coordinates

Start by running `calculate_tolls_by_address` to estimate total expenses between two locations. It supports multiple vehicle types, so you get a complete cost breakdown. For routes defined only by GPS points, use `calculate_tolls_by_coordinates` to get several route options and their respective toll breakdowns.

Process encoded paths and live tracks

When you have a full trip's worth of data, the agent can run `calculate_tolls_by_gps`. This tool reads raw GPS track data to reconcile tolls accurately. Alternatively, if your path is an encoded polyline string, submit it to `calculate_tolls_by_polyline` for quick cost identification.

Verify pricing and usage metrics

`get_toll_rates` looks up the current toll rates for any specific plaza or booth. This is a simple, necessary check before planning routes. The agent also uses `get_transaction_count` to provide the total API transaction count, helping you monitor account limits and usage.

Setup guide

Set up TollGuru Alternative MCP in Pydantic AI

Prerequisites

  • Python 3.10+ installed
  • pydantic-ai-slim[fastmcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Pydantic AI with FastMCP

    Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.

  2. 2

    Configure the FastMCPToolset

    Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.

  3. 3

    Create and run your agent

    Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "tollguru-alternative-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to TollGuru Alternative tools.",
)

result = await agent.run("List recent TollGuru Alternative transactions")
print(result.output)

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 Alternative MCP in Pydantic AI

The server provides comprehensive toll intelligence. You can run calculations based on addresses, GPS tracks, or polylines, and the results are validated against strict Pydantic models for guaranteed correctness.
It touches toll rate information, vehicle type data, two-point addresses, GPS coordinates, polyline strings, and API transaction counts. All responses are typed.
Yes. The combination of `calculate_tolls_by_coordinates` and `calculate_tolls_by_polyline` allows you to test multiple routes and then calculate costs for a specific, known path.
Yes. Use `calculate_tolls_by_gps` to input raw GPS track data and get an accurate toll breakdown, perfect for post-trip billing.
You can use `get_toll_rates` to look up the latest rates for any toll plaza or booth. This ensures your agent is working with validated pricing data.

Start using the TollGuru Alternative MCP today

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