2,500+ MCP servers ready to use
Vinkius

TollGuru MCP Server for OpenAI Agents SDK 3 tools — connect in under 2 minutes

Built by Vinkius GDPR 3 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect TollGuru through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="TollGuru Assistant",
            instructions=(
                "You help users interact with TollGuru. "
                "You have access to 3 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from TollGuru"
        )
        print(result.final_output)

asyncio.run(main())
TollGuru
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

The OpenAI Agents SDK auto-discovers all 3 tools from TollGuru through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries TollGuru, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the TollGuru MCP Server with OpenAI Agents SDK.

01

Install the SDK

Run pip install openai-agents in your Python environment

02

Replace the token

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

03

Run the script

Save the code above and run it: python agent.py

04

Explore tools

The agent will automatically discover 3 tools from TollGuru

Why Use OpenAI Agents SDK with the TollGuru MCP Server

OpenAI Agents SDK provides unique advantages when paired with TollGuru through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

TollGuru + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the TollGuru MCP Server delivers measurable value.

01

Automated workflows: build agents that query TollGuru, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries TollGuru, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through TollGuru tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query TollGuru to resolve tickets, look up records, and update statuses without human intervention

TollGuru MCP Tools for OpenAI Agents SDK (3)

These 3 tools become available when you connect TollGuru to OpenAI Agents SDK via MCP:

01

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

02

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

03

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 OpenAI Agents SDK

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

01

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

02

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

03

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

Troubleshooting TollGuru MCP Server with OpenAI Agents SDK

Common issues when connecting TollGuru to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

TollGuru + OpenAI Agents SDK FAQ

Common questions about integrating TollGuru MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

Connect TollGuru to OpenAI Agents SDK

Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.