SPTrans Olho Vivo Connector for AI agents.
13 live capabilities
Track real-time São Paulo bus locations and arrival forecasts.
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Why people use SPTrans Olho Vivo
SPTrans Olho Vivo: Real-time São Paulo Transit Data for Commuters
With this Connector, you just ask your agent for the next bus. It pulls the data instantly, gives you the time, and tells you where the bus is currently located. You get a direct answer without the manual work.
What Vinkius changes
You get real-time São Paulo transit data through a natural conversation with your agent.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Late bus check
A commuter asks if a specific bus is running late, and the agent provides a 5-minute update based on live GPS data.
- Real-world use case 02
Route planning
A traveler asks for all stops on a line, and the agent lists them out to help them navigate the city.
- Real-world use case 03
Fleet analysis
A researcher asks for the location of every active bus to see how many are in the city center right now.
Complete set · 13capabilities
The complete SPTrans Olho Vivo capability set.
These are the exact actions your AI can choose when you ask it to work with SPTrans Olho Vivo.
01—04
4 capabilities in this set.
Part of 13 available through SPTrans Olho Vivo.
- 01 Capability
Get forecast by stop
Get arrival forecasts for all lines arriving at a specific stop. Use this to see which buses are coming to your current location.
- 02 Capability
Get forecast
Get arrival forecast for a specific stop and line. This gives you the exact time for a single bus on a specific route.
- 03 Capability
Get positions by line
Get real-time GPS positions for buses on a specific line. You can see exactly where every bus on a route is located right now.
- 04 Capability
Get all positions
Get real-time GPS positions for all active buses. This gives you a city-wide view of the entire active fleet.
05—07
3 capabilities in this set.
Part of 13 available through SPTrans Olho Vivo.
- 05 Capability
List companies
List bus operating companies by area. This helps you identify which companies serve specific parts of the city.
- 06 Capability
List corridors
List all intelligent bus corridors in São Paulo. Use this to see the primary transit arteries in the city.
- 07 Capability
Search lines by direction
Search for bus lines filtered by direction. This helps you find the right line heading where you need to go.
08—10
3 capabilities in this set.
Part of 13 available through SPTrans Olho Vivo.
- 08 Capability
Search stops by line
Get all stops for a specific bus line. Use this to see every stop on a specific route.
- 09 Capability
Get forecast by line
Get arrival forecasts for all stops on a specific line. This helps you see the timing for an entire route.
- 10 Capability
Search stops by corridor
Get all stops in a specific intelligent corridor. This lets you see every stop along a major transit artery.
11—13
3 capabilities in this set.
Part of 13 available through SPTrans Olho Vivo.
- 11 Capability
Get positions in garage
Get real-time GPS positions for buses currently in the garage. Use this to see which vehicles are currently out of service.
- 12 Capability
Search lines
Search for bus lines by number or name. Use this to find the correct line ID for your intended route.
- 13 Capability
Search stops
Search for bus stops by name or address. This helps you find the nearest stop to your current location.
Set up in minutes
One URL. Then ask SPTrans Olho Vivo to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use SPTrans Olho Vivo from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_7LC2d2RPTETrnyDTnxvd3pgzd3WkYlgNn47fk8kn/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it SPTrans Olho Vivo, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable SPTrans Olho Vivo for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_7LC2d2RPTETrnyDTnxvd3pgzd3WkYlgNn47fk8kn/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the SPTrans Olho Vivo URL.
- Step 03
Save and start
Save the connection and enable SPTrans Olho Vivo in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"sptrans-olho-vivo": {
"url": "https://edge.vinkius.com/vk_preview_7LC2d2RPTETrnyDTnxvd3pgzd3WkYlgNn47fk8kn/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using SPTrans Olho Vivo
Open Agent mode in chat and ask: "Using SPTrans Olho Vivo, help me...". 13 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"sptrans-olho-vivo": {
"url": "https://edge.vinkius.com/vk_preview_7LC2d2RPTETrnyDTnxvd3pgzd3WkYlgNn47fk8kn/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using SPTrans Olho Vivo
Ask Copilot: "Using SPTrans Olho Vivo, help me...". 13 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"sptrans-olho-vivo": {
"url": "https://edge.vinkius.com/vk_preview_7LC2d2RPTETrnyDTnxvd3pgzd3WkYlgNn47fk8kn/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using SPTrans Olho Vivo
Open Cascade and ask: "Using SPTrans Olho Vivo, help me...". 13 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"sptrans-olho-vivo": {
"url": "https://edge.vinkius.com/vk_preview_7LC2d2RPTETrnyDTnxvd3pgzd3WkYlgNn47fk8kn/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using SPTrans Olho Vivo
Ask Cline: "Using SPTrans Olho Vivo, help me...". 13 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add sptrans-olho-vivo --transport http "https://edge.vinkius.com/vk_preview_7LC2d2RPTETrnyDTnxvd3pgzd3WkYlgNn47fk8kn/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using SPTrans Olho Vivo
Ask Claude: "Using SPTrans Olho Vivo, show me...". 13 tools are ready
Where the request belongs
Work SPTrans Olho Vivo can move forward.
This is for people who deal with São Paulo's transit system daily. It is for the commuter who needs to know if their bus is stuck in traffic and the urban planner who needs to see fleet distribution without manual data scraping.
Daily Commuter
Checking bus arrival times while getting ready for work or heading out for the evening.
Urban Planner
Analyzing corridor efficiency and fleet density for city reports and infrastructure planning.
Transit Researcher
Gathering real-time mobility data for academic studies or public policy research.
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Bring your own AI
Change the model, client or framework. Keep SPTrans Olho Vivo connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about SPTrans Olho Vivo.
The practical details behind the request, access and result.
Can I use SPTrans Olho Vivo to see live bus locations?
Yes, it provides real-time GPS coordinates for the active fleet in São Paulo.
Does SPTrans Olho Vivo work for all of Brazil?
No, this Connector is specifically for the São Paulo public transit system.
How can I check arrival times for my stop with SPTrans Olho Vivo?
You can ask your agent for the arrival forecast of any specific stop in the city.
Can I see which companies operate in different areas using SPTrans Olho Vivo?
Yes, the Connector can list bus operating companies based on their specific service areas.
Can I find all the stops on a specific bus line?
Yes, you can ask the agent to list every stop served by a particular bus line number or name.
Is SPTrans Olho Vivo good for urban planning research?
Yes, it allows you to pull data on corridors and live fleet distribution for city-wide analysis.
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 Connector 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.
One connection away
Give your agent a direct line to SPTrans Olho Vivo.
Connect SPTrans Olho Vivo once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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