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Vinkius
Claude CodeCLI
SPTrans Olho Vivo MCP Server

Bring Public Transit
to Claude Code

Learn how to connect SPTrans Olho Vivo to Claude Code and start using 13 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

MCP Inspector GDPR Free for Subscribers
Get All PositionsGet ForecastGet Forecast By LineGet Forecast By StopGet Positions By LineGet Positions In GarageList CompaniesList CorridorsSearch LinesSearch Lines By DirectionSearch StopsSearch Stops By CorridorSearch Stops By Line

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
SPTrans Olho Vivo

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

  1. Subscribe to this server
  2. Enter your SPTrans Olho Vivo API Token
  3. 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_all_positions

Get real-time GPS positions for all active buses

get_forecast

Get arrival forecast for a specific stop and line

get_forecast_by_line

Get arrival forecast for all stops on a specific line

get_forecast_by_stop

Get arrival forecast for all lines arriving at a specific stop

get_positions_by_line

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

get_positions_in_garage

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

list_companies

List bus operating companies by area

list_corridors

List all intelligent bus corridors in São Paulo

search_lines

Search for bus lines by number or name

search_lines_by_direction

Search for bus lines filtered by direction

search_stops

Search for bus stops by name or address

search_stops_by_corridor

Get all stops in a specific intelligent corridor

search_stops_by_line

Get all stops for a specific bus line

Why Claude Code?

Claude Code registers SPTrans Olho Vivo as an MCP server in a single terminal command. Once connected, Claude Code discovers all 13 tools at runtime and can call them headlessly. ideal for CI/CD pipelines, cron jobs, and automated workflows where SPTrans Olho Vivo data drives decisions without human intervention.

  • Single-command setup: claude mcp add registers the server instantly. no config files to edit or applications to restart

  • Terminal-native workflow means MCP tools integrate seamlessly into shell scripts, CI/CD pipelines, and automated DevOps tasks

  • Claude Code runs headlessly, enabling unattended batch processing using SPTrans Olho Vivo tools in cron jobs or deployment scripts

  • Built by the same team that created the MCP protocol, ensuring first-class compatibility and the fastest adoption of new protocol features

See it in action

SPTrans Olho Vivo in Claude Code

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

SPTrans Olho Vivo and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect SPTrans Olho Vivo to Claude Code 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.

4,000+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself4,000+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for SPTrans Olho Vivo in Claude Code

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 Claude Code 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.

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

The Vinkius Advantage

How Vinkius secures SPTrans Olho Vivo for Claude Code

Every tool call from Claude Code to the SPTrans Olho Vivo MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

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.

02

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.

03

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.

04

How do I add an MCP server to Claude Code?

Run claude mcp add <name> --transport http "<url>" in your terminal. Claude Code registers the server and discovers all tools immediately.

05

Can Claude Code run MCP tools in headless mode?

Yes. Claude Code supports non-interactive execution, making it ideal for scripts, cron jobs, and CI/CD pipelines that need MCP tool access.

06

How do I list all connected MCP servers?

Run claude mcp in your terminal to see all registered servers and their status, or type /mcp inside an active Claude Code session.

07

Command not found: claude

Ensure Claude Code is installed globally: npm install -g @anthropic-ai/claude-code

08

Connection timeout

Check your internet connection and verify the Edge URL is reachable

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