SPTrans Olho Vivo MCP Server for AutoGenGive AutoGen instant access to 13 tools to Get All Positions, Get Forecast, Get Forecast By Line, and more
GDPR Free for SubscribersMicrosoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add SPTrans Olho Vivo as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
Ask AI about this MCP Server for AutoGen
The SPTrans Olho Vivo MCP Server for AutoGen is a standout in the Data Analytics category — giving your AI agent 13 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="sptrans_olho_vivo_agent",
tools=tools,
system_message=(
"You help users with SPTrans Olho Vivo. "
"13 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(main())
* 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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use SPTrans Olho Vivo tools. Connect 13 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen
When AutoGen 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 all positions on SPTrans Olho Vivo
Get real-time GPS positions for all active buses
Get forecast on SPTrans Olho Vivo
Get arrival forecast for a specific stop and line
Get forecast by line on SPTrans Olho Vivo
Get arrival forecast for all stops on a specific line
Get forecast by stop on SPTrans Olho Vivo
Get arrival forecast for all lines arriving at a specific stop
Get positions by line on SPTrans Olho Vivo
Get real-time GPS positions for buses on a specific line
Get positions in garage on SPTrans Olho Vivo
Get real-time GPS positions for buses currently in the garage
List companies on SPTrans Olho Vivo
List bus operating companies by area
List corridors on SPTrans Olho Vivo
List all intelligent bus corridors in São Paulo
Search lines on SPTrans Olho Vivo
Search for bus lines by number or name
Search lines by direction on SPTrans Olho Vivo
Search for bus lines filtered by direction
Search stops on SPTrans Olho Vivo
Search for bus stops by name or address
Search stops by corridor on SPTrans Olho Vivo
Get all stops in a specific intelligent corridor
Search stops by line on SPTrans Olho Vivo
Get all stops for a specific bus line
Connect SPTrans Olho Vivo to AutoGen via MCP
Follow these steps to wire SPTrans Olho Vivo into AutoGen. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install AutoGen
pip install "autogen-ext[mcp]"Replace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenIntegrate into workflow
Explore tools
Why Use AutoGen with the SPTrans Olho Vivo MCP Server
AutoGen provides unique advantages when paired with SPTrans Olho Vivo through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use SPTrans Olho Vivo tools to solve complex tasks
Role-based architecture lets you assign SPTrans Olho Vivo tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive SPTrans Olho Vivo tool calls
Code execution sandbox: AutoGen agents can write and run code that processes SPTrans Olho Vivo tool responses in an isolated environment
SPTrans Olho Vivo + AutoGen Use Cases
Practical scenarios where AutoGen combined with the SPTrans Olho Vivo MCP Server delivers measurable value.
Collaborative analysis: one agent queries SPTrans Olho Vivo while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from SPTrans Olho Vivo, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using SPTrans Olho Vivo data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process SPTrans Olho Vivo responses in a sandboxed execution environment
Example Prompts for SPTrans Olho Vivo in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with SPTrans Olho Vivo immediately.
"Search for bus lines related to 'Lapa'."
"What are the arrival forecasts for stop code 650005666?"
"Show me the real-time positions of buses on line 33657."
Troubleshooting SPTrans Olho Vivo MCP Server with AutoGen
Common issues when connecting SPTrans Olho Vivo to AutoGen through Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"SPTrans Olho Vivo + AutoGen FAQ
Common questions about integrating SPTrans Olho Vivo MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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