How to Use the TollGuru MCP in Pydantic AI
Build reliable, validated agents using Pydantic AI and TollGuru's MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect TollGuru MCP to Pydantic AI
Create your Vinkius account to connect TollGuru 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.
Calculate tolls with the MCP Server
Use `calculate_toll_from_polyline` to get toll costs when you already have a route polyline from an external mapping service. The data returned includes detailed toll, fuel, and cost metrics. This tool is solid for agents doing post-trip analysis or integrating with existing maps. It supports all vehicle types across multiple currencies.
Multi-stop route budgeting
`calculate_toll_multi_stop` returns a granular breakdown of tolls at every plaza along the total path. You get fuel costs and optional driver labor estimates. This is vital for complex logistics planning or delivery routes with multiple, specific stops.
Full trip cost estimation
`calculate_toll_route` provides comprehensive trip costing from an origin to a destination. The results include plaza names, tag/cash costs, and payment method acceptance. It calculates fuel needs based on vehicle efficiency and current prices. You can also request the MCP Server to suggest route optimizations for minimum cost.
Set up TollGuru MCP in Pydantic AI
Prerequisites
- Python 3.10+ installed
-
pydantic-ai-slim[fastmcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install Pydantic AI with FastMCP
Run
pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecatedMCPServerHTTPclass with full protocol support. - 2
Configure the FastMCPToolset
Pass a JSON-style config dict to
FastMCPToolsetwith your Vinkius URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports. - 3
Create and run your agent
Pass the toolset to
Agent(toolsets=[toolset])and callagent.run(). Swapopenai:gpt-4ofor any supported model — Anthropic, Google, Mistral, or Groq.
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset
toolset = FastMCPToolset({
"mcpServers": {
"tollguru-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to TollGuru tools.",
)
result = await agent.run("List recent TollGuru 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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about TollGuru MCP in Pydantic AI
Use it with your favorite AI tools
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