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SPTrans Olho Vivo MCP Server for Claude CodeGive Claude Code instant access to 13 tools to Get All Positions, Get Forecast, Get Forecast By Line, and more

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Claude Code is Anthropic's agentic CLI for terminal-first development. Add SPTrans Olho Vivo as an MCP server in one command and Claude Code will discover every tool at runtime. ideal for automation pipelines, CI/CD integration, and headless workflows via Vinkius.

Ask AI about this MCP Server for Claude Code

The SPTrans Olho Vivo MCP Server for Claude Code is a standout in the Data Analytics category — giving your AI agent 13 tools to work with, ready to go from day one.

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Classic Setup·bash
# Your Vinkius token. get it at cloud.vinkius.com
claude mcp add sptrans-olho-vivo --transport http "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
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The modern way to manage MCP Servers — no config files, no terminal commands. Install SPTrans Olho Vivo and 4,000+ MCP Servers from a single visual interface.

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* 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.

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.

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 Claude Code 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 Claude Code

When Claude Code 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

Get all positions on SPTrans Olho Vivo

Get real-time GPS positions for all active buses

get

Get forecast on SPTrans Olho Vivo

Get arrival forecast for a specific stop and line

get

Get forecast by line on SPTrans Olho Vivo

Get arrival forecast for all stops on a specific line

get

Get forecast by stop on SPTrans Olho Vivo

Get arrival forecast for all lines arriving at a specific stop

get

Get positions by line on SPTrans Olho Vivo

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

get

Get positions in garage on SPTrans Olho Vivo

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

list

List companies on SPTrans Olho Vivo

List bus operating companies by area

list

List corridors on SPTrans Olho Vivo

List all intelligent bus corridors in São Paulo

search

Search lines on SPTrans Olho Vivo

Search for bus lines by number or name

search

Search lines by direction on SPTrans Olho Vivo

Search for bus lines filtered by direction

search

Search stops on SPTrans Olho Vivo

Search for bus stops by name or address

search

Search stops by corridor on SPTrans Olho Vivo

Get all stops in a specific intelligent corridor

search

Search stops by line on SPTrans Olho Vivo

Get all stops for a specific bus line

Connect SPTrans Olho Vivo to Claude Code via MCP

Follow these steps to wire SPTrans Olho Vivo into Claude Code. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install Claude Code

Run npm install -g @anthropic-ai/claude-code if not already installed
02

Add the MCP Server

Run the command above in your terminal
03

Verify the connection

Run claude mcp to list connected servers, or type /mcp inside a session
04

Start using SPTrans Olho Vivo

Ask Claude: "Using SPTrans Olho Vivo, show me...". 13 tools are ready

Why Use Claude Code with the SPTrans Olho Vivo MCP Server

Claude Code provides unique advantages when paired with SPTrans Olho Vivo through the Model Context Protocol.

01

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

02

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

03

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

04

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

SPTrans Olho Vivo + Claude Code Use Cases

Practical scenarios where Claude Code combined with the SPTrans Olho Vivo MCP Server delivers measurable value.

01

CI/CD integration: embed SPTrans Olho Vivo tool calls in your deployment pipeline to validate configurations or fetch secrets before shipping

02

Headless batch processing: schedule Claude Code to query SPTrans Olho Vivo nightly and generate reports without human intervention

03

Shell scripting: pipe SPTrans Olho Vivo outputs into other CLI tools for data transformation, filtering, and aggregation

04

Infrastructure monitoring: run Claude Code in a cron job to query SPTrans Olho Vivo status endpoints and alert on anomalies

Example Prompts for SPTrans Olho Vivo in Claude Code

Ready-to-use prompts you can give your Claude Code agent to start working with SPTrans Olho Vivo immediately.

01

"Search for bus lines related to 'Lapa'."

02

"What are the arrival forecasts for stop code 650005666?"

03

"Show me the real-time positions of buses on line 33657."

Troubleshooting SPTrans Olho Vivo MCP Server with Claude Code

Common issues when connecting SPTrans Olho Vivo to Claude Code through Vinkius, and how to resolve them.

01

Command not found: claude

Ensure Claude Code is installed globally: npm install -g @anthropic-ai/claude-code
02

Connection timeout

Check your internet connection and verify the Edge URL is reachable

SPTrans Olho Vivo + Claude Code FAQ

Common questions about integrating SPTrans Olho Vivo MCP Server with Claude Code.

01

How do I add an MCP server to Claude Code?

Run claude mcp add --transport http "" in your terminal. Claude Code registers the server and discovers all tools immediately.
02

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.
03

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.

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