What do I need to use this MCP?

You will need a valid SPTrans Olho Vivo API Token to authenticate your requests.

Which AI clients can I use with this?

You can use this MCP with any compatible client, including Claude, Cursor, and Windsurf.

Does this provide real-time data?

Yes, the MCP accesses the Olho Vivo API to provide live GPS positions and arrival forecasts.

Can I find specific bus stops?

Yes, you can search for stops using their name, address, or by looking within specific corridors.

How is the data hosted?

Vinkius hosts the MCP and manages the connection, so you don't have to run any local code.

How do I find the specific code for a bus line?

Use the search_lines capability 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 capability 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.

An astronaut overseeing a futuristic data hub

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Connect SPTrans Olho Vivo to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Get live São Paulo bus data through your AI agent.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 13 capabilities

We ship only the actions that matter.

Capability set01 / 04

01-04

4 capabilities in this set.

Part of 13 available through SPTrans Olho Vivo.

01
Get forecast by stop
This capability provides arrival predictions for every bus line passing through a specific stop.
02
Get positions by line
Use this to get the real-time GPS coordinates for all active buses on a specific line.
03
List companies
This capability returns a list of bus operating companies organized by their service areas.
04
List corridors
This capability retrieves a list of all intelligent bus corridors currently active in São Paulo.

Capability set02 / 04

05-07

3 capabilities in this set.

Part of 13 available through SPTrans Olho Vivo.

05
Search lines
This capability lets you find bus lines by searching for their name or number.
06
Get all positions
This capability pulls the real-time GPS positions for every active bus in the city.
07
Get forecast
Use this to get an arrival prediction for a specific line at a specific stop.

Capability set03 / 04

08-10

3 capabilities in this set.

Part of 13 available through SPTrans Olho Vivo.

08
Get forecast by line
This capability provides arrival forecasts for all stops along a chosen bus route.
09
Get positions in garage
This capability retrieves the real-time GPS locations of buses currently parked in company garages.
10
Search lines by direction
This capability filters and finds bus lines based on their direction of travel.

Capability set04 / 04

11-13

3 capabilities in this set.

Part of 13 available through SPTrans Olho Vivo.

11
Search stops
Use this to find bus stops using an address or a stop name.
12
Search stops by corridor
This capability lists all bus stops located within a specific intelligent corridor.
13
Search stops by line
This capability finds all the stops that belong to a specific bus line.

Real work

What teams actually run

Daily Commuting

Ask your agent how many minutes until your bus arrives so you can leave your house at the right time.

Route Planning

Find which bus lines serve a specific address or corridor in São Paulo.

Urban Data Analysis

Query the agent to see how buses are distributed across different intelligent corridors.

Fleet Oversight

Check the real-time location of buses to see if they are running on schedule or stuck in traffic.

Automate a task

Put SPTrans Olho Vivo to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

SPTrans Olho Vivo works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

Building your own app? The connector is yours to use.

You don't need a client to put SPTrans Olho Vivo to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

1002ms average. Fast in production.

SPTrans Olho Vivo is checked daily against the live service.

Daily averagePeak 1148ms

Oct 3Today

Fastest day: 716ms
Slowest day: 1148ms
14-day trend: Stable-3%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 13 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of SPTrans Olho Vivo, so you can see the experience inside your AI.

It does not authenticate your account with SPTrans Olho Vivo. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

SPTrans Olho Vivo Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_7LC2d2RPTETrnyDTnxvd3pgzd3WkYlgNn47fk8kn/mcp

Claude Desktop

Follow the steps below to connect in seconds.

1In Claude Desktop, open Settings → Connectors.
2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3Click Add and start a new chat — SPTrans Olho Vivo capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "sptrans-olho-vivo-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_7LC2d2RPTETrnyDTnxvd3pgzd3WkYlgNn47fk8kn/mcp"
    }
  }
}

Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up SPTrans Olho Vivo in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work SPTrans Olho Vivo owners hand off.

This MCP is built for anyone needing live data from the São Paulo transit system via an AI interface.

01
Commuters
They ask the agent for arrival times to plan their trips without opening separate apps.
02
Urban Researchers
They use the agent to extract real-time fleet distribution and corridor data for analysis.
03
Developers
They use the agent to test transit data queries using natural language commands.

FAQ

Questions SPTrans Olho Vivo owners ask.

01
What do I need to use this MCP?
You will need a valid SPTrans Olho Vivo API Token to authenticate your requests.
02
Which AI clients can I use with this?
You can use this MCP with any compatible client, including Claude, Cursor, and Windsurf.
03
Does this provide real-time data?
Yes, the MCP accesses the Olho Vivo API to provide live GPS positions and arrival forecasts.
04
Can I find specific bus stops?
Yes, you can search for stops using their name, address, or by looking within specific corridors.
05
How is the data hosted?
Vinkius hosts the MCP and manages the connection, so you don't have to run any local code.
06
How do I find the specific code for a bus line?
Use the search_lines capability 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.
07
Can I see the arrival times for all buses at a particular stop?
Yes! Use the get_forecast_by_stop capability with the stop code (cp). It will list all upcoming bus arrivals for that location in real-time.
08
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.

Explore

More in Data Analytics

Connect SPTrans Olho Vivo to Claude, Cursor, ChatGPT & more

Your AI does the work. We keep it safe and sound.

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-04

Get forecast by stop

Get positions by line

List companies

List corridors

05-07

Search lines

Get all positions

Get forecast

08-10

Get forecast by line

Get positions in garage

Search lines by direction

11-13

Search stops

Search stops by corridor

Search stops by line

What teams actually run

Daily Commuting

Route Planning

Urban Data Analysis

Fleet Oversight

Building your own app? The connector is yours to use.

SPTrans Olho Vivo Connector

Claude Desktop

Commuters

Urban Researchers

Developers

What do I need to use this MCP?

Which AI clients can I use with this?

Does this provide real-time data?

Can I find specific bus stops?

How is the data hosted?

How do I find the specific code for a bus line?

Can I see the arrival times for all buses at a particular stop?

Is it possible to track the live location of buses on a map?

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