Bring Public Transit
to AutoGen
Learn how to connect SPTrans Olho Vivo to AutoGen and start using 13 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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.
How it works
- Subscribe to this server
- Enter your SPTrans Olho Vivo API Token
- Start querying São Paulo's transit system from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Commuters & Residents — Get instant updates on bus arrivals and locations without switching between multiple transit apps.
- Urban Planners & Researchers — Analyze real-time fleet distribution and corridor efficiency directly through AI-driven data extraction.
- Developers — Integrate São Paulo's transit data into workflows or tools using simple natural language commands.
Built-in capabilities (13)
Get real-time GPS positions for all active buses
Get arrival forecast for a specific stop and line
Get arrival forecast for all stops on a specific line
Get arrival forecast for all lines arriving at a specific stop
Get real-time GPS positions for buses on a specific line
Get real-time GPS positions for buses currently in the garage
List bus operating companies by area
List all intelligent bus corridors in São Paulo
Search for bus lines by number or name
Search for bus lines filtered by direction
Search for bus stops by name or address
Get all stops in a specific intelligent corridor
Get all stops for a specific bus line
Why AutoGen?
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.
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Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use SPTrans Olho Vivo tools to solve complex tasks
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Role-based architecture lets you assign SPTrans Olho Vivo tool access to specific agents. a data analyst queries while a reviewer validates
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Human-in-the-loop support: agents can pause for human approval before executing sensitive SPTrans Olho Vivo tool calls
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Code execution sandbox: AutoGen agents can write and run code that processes SPTrans Olho Vivo tool responses in an isolated environment
SPTrans Olho Vivo in AutoGen
SPTrans Olho Vivo and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect SPTrans Olho Vivo to AutoGen through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for SPTrans Olho Vivo in AutoGen
The SPTrans Olho Vivo 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. All 13 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in AutoGen only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
SPTrans Olho Vivo for AutoGen
Every tool call from AutoGen to the SPTrans Olho Vivo MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I find the specific code for a bus line?
Use the search_lines tool with the line number or name (e.g., '8000' or 'Lapa'). The agent will return the line code (cl), which is required for tracking positions or forecasts.
Can I see the arrival times for all buses at a particular stop?
Yes! Use the get_forecast_by_stop tool with the stop code (cp). It will list all upcoming bus arrivals for that location in real-time.
Is it possible to track the live location of buses on a map?
While the MCP returns raw coordinates, you can use get_positions_by_line to get the latitude and longitude of every active bus on a line, which your AI can then describe or plot.
How does AutoGen connect to MCP servers?
Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call SPTrans Olho Vivo tools during their conversation turns.
Can different agents have different MCP tool access?
Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.
Does AutoGen support human approval for tool calls?
Yes. Configure human-in-the-loop mode so agents pause and request approval before executing sensitive MCP tool calls.
McpWorkbench not found
Install: pip install "autogen-ext[mcp]"
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