How to Use the TollGuru Alternative MCP in LlamaIndex

Q: Can I query past trip costs using TollGuru Alternative and LlamaIndex?

Yes. By indexing the outputs of calculatetollsbygps, you can query historical toll expenditures against specific GPS tracks or time periods.

Q: What about multi-vehicle support with TollGuru Alternative and LlamaIndex?

The calculatetollsbyaddress tool supports multiple vehicle types. Indexing these results ensures that future queries can accurately reference specific cost structures based on vehicle class.

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Connect TollGuru Alternative MCP to LlamaIndex

Create your Vinkius account to connect TollGuru Alternative to LlamaIndex 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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Setup TollGuru Alternative with LlamaIndex

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Store Toll Data from the MCP Server

When you use `calculate_tolls_by_address`, the resulting toll costs and fuel estimates become searchable data. Your index stores this API output, turning ephemeral calculations into persistent knowledge. This means you can query past session results—for instance, 'What was the estimated cost for this address last quarter?'—and get answers grounded in actual API data.

Search Specific Toll Rates with LlamaIndex

The `get_toll_rates` tool allows you to retrieve specific rates for a plaza or booth. Indexing these lookups means your RAG application can answer questions like, 'What is the rate at Booth X?' without needing complex search filters. This capability combines real-time financial data with historical documentation in one unified index.

Analyze Polyline Routes via LlamaIndex

If you use `calculate_tolls_by_polyline`, the resulting cost for that exact path gets indexed. This lets users search and compare multiple encoded routes against a knowledge base of past trip costs. It’s ideal for building applications where historical data must be combined with current routing intelligence.

Setup guide

Set up TollGuru Alternative MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all TollGuru Alternative MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to TollGuru Alternative tools.",
)
response = await agent.run("List recent TollGuru Alternative data")

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Common questions about TollGuru Alternative MCP in LlamaIndex

It allows you to index the results of complex toll calculations—whether by address or coordinates. You turn transient API output into searchable knowledge for your RAG applications.

Yes. By indexing the outputs of `calculate_tolls_by_gps`, you can query historical toll expenditures against specific GPS tracks or time periods.

It significantly improves it. You don't just get the answer; you index the calculation steps, allowing your AI client to surface *why* a cost was determined based on indexed API calls.

The `calculate_tolls_by_address` tool supports multiple vehicle types. Indexing these results ensures that future queries can accurately reference specific cost structures based on vehicle class.

This server handles global toll intelligence, processing inputs like encoded polyline strings, geographical coordinates, and vehicle type specifications for cost calculation.

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