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SPTrans Olho Vivo MCP Server for Google ADKGive Google ADK instant access to 13 tools to Get All Positions, Get Forecast, Get Forecast By Line, and more

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Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add SPTrans Olho Vivo as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Ask AI about this MCP Server for Google ADK

The SPTrans Olho Vivo MCP Server for Google ADK is a standout in the Data Analytics category — giving your AI agent 13 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="sptrans_olho_vivo_agent",
    instruction=(
        "You help users interact with SPTrans Olho Vivo "
        "using 13 available tools."
    ),
    tools=[mcp_tools],
)
SPTrans Olho Vivo
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 SPTrans Olho Vivo MCP Server

Connect to the SPTrans Olho Vivo API to bring real-time urban mobility intelligence to your AI agent. Monitor the entire São Paulo bus fleet and provide precise transit information through natural conversation.

Google ADK natively supports SPTrans Olho Vivo as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 13 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

  • Line & Stop Discovery — Search for bus lines by name or number and find specific stops by address or corridor.
  • Real-time GPS Tracking — Fetch the exact coordinates of active buses on any given line or across the entire city fleet.
  • Arrival Forecasts — Get accurate predictions for when the next bus will arrive at a specific stop or for all stops along a route.
  • Corridor & Company Info — List intelligent bus corridors and operating companies to understand the city's transit infrastructure.
  • Garage Status — Monitor vehicles currently in the garage for specific companies and lines.

The SPTrans Olho Vivo MCP Server exposes 13 tools through the Vinkius. Connect it to Google ADK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 13 SPTrans Olho Vivo tools available for Google ADK

When Google ADK connects to SPTrans Olho Vivo through Vinkius, your AI agent gets direct access to every tool listed below — spanning public-transit, real-time-tracking, gps-data, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

get

Get all positions on SPTrans Olho Vivo

Get real-time GPS positions for all active buses

get

Get forecast on SPTrans Olho Vivo

Get arrival forecast for a specific stop and line

get

Get forecast by line on SPTrans Olho Vivo

Get arrival forecast for all stops on a specific line

get

Get forecast by stop on SPTrans Olho Vivo

Get arrival forecast for all lines arriving at a specific stop

get

Get positions by line on SPTrans Olho Vivo

Get real-time GPS positions for buses on a specific line

get

Get positions in garage on SPTrans Olho Vivo

Get real-time GPS positions for buses currently in the garage

list

List companies on SPTrans Olho Vivo

List bus operating companies by area

list

List corridors on SPTrans Olho Vivo

List all intelligent bus corridors in São Paulo

search

Search lines on SPTrans Olho Vivo

Search for bus lines by number or name

search

Search lines by direction on SPTrans Olho Vivo

Search for bus lines filtered by direction

search

Search stops on SPTrans Olho Vivo

Search for bus stops by name or address

search

Search stops by corridor on SPTrans Olho Vivo

Get all stops in a specific intelligent corridor

search

Search stops by line on SPTrans Olho Vivo

Get all stops for a specific bus line

Connect SPTrans Olho Vivo to Google ADK via MCP

Follow these steps to wire SPTrans Olho Vivo into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install Google ADK

Run pip install google-adk
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Create the agent

Save the code above and integrate into your ADK workflow
04

Explore tools

The agent will discover 13 tools from SPTrans Olho Vivo via MCP

Why Use Google ADK with the SPTrans Olho Vivo MCP Server

Google ADK provides unique advantages when paired with SPTrans Olho Vivo through the Model Context Protocol.

01

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with SPTrans Olho Vivo

03

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

04

Seamless integration with Google Cloud services means you can combine SPTrans Olho Vivo tools with BigQuery, Vertex AI, and Cloud Functions

SPTrans Olho Vivo + Google ADK Use Cases

Practical scenarios where Google ADK combined with the SPTrans Olho Vivo MCP Server delivers measurable value.

01

Enterprise data agents: ADK agents query SPTrans Olho Vivo and cross-reference results with internal databases for comprehensive analysis

02

Multi-modal workflows: combine SPTrans Olho Vivo tool responses with Gemini's vision and language capabilities in a single agent

03

Automated compliance checks: schedule ADK agents to query SPTrans Olho Vivo regularly and flag policy violations or configuration drift

04

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including SPTrans Olho Vivo

Example Prompts for SPTrans Olho Vivo in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with SPTrans Olho Vivo immediately.

01

"Search for bus lines related to 'Lapa'."

02

"What are the arrival forecasts for stop code 650005666?"

03

"Show me the real-time positions of buses on line 33657."

Troubleshooting SPTrans Olho Vivo MCP Server with Google ADK

Common issues when connecting SPTrans Olho Vivo to Google ADK through Vinkius, and how to resolve them.

01

McpToolset not found

Update: pip install --upgrade google-adk

SPTrans Olho Vivo + Google ADK FAQ

Common questions about integrating SPTrans Olho Vivo MCP Server with Google ADK.

01

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
02

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
03

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.

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