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

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Cline is an autonomous AI coding agent inside VS Code that plans, executes, and iterates on tasks. Wire SPTrans Olho Vivo through Vinkius and Cline gains direct access to every tool. from data retrieval to workflow automation. without leaving the terminal.

Ask AI about this MCP Server for Cline

The SPTrans Olho Vivo MCP Server for Cline 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·json
{
  "mcpServers": {
    "sptrans-olho-vivo": {
      "url": "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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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

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.

Cline operates autonomously inside VS Code. it reads your codebase, plans a strategy, and executes multi-step tasks including SPTrans Olho Vivo tool calls without waiting for prompts between steps. Connect 13 tools through Vinkius and Cline can fetch data, generate code, and commit changes in a single autonomous run.

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 Cline 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 Cline

When Cline 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 Cline via MCP

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

01

Open Cline MCP Settings

Click the MCP Servers icon in the Cline sidebar panel
02

Add remote server

Click "Add MCP Server" and paste the configuration above
03

Enable the server

Toggle the server switch to ON
04

Start using SPTrans Olho Vivo

Ask Cline: "Using SPTrans Olho Vivo, help me...". 13 tools available

Why Use Cline with the SPTrans Olho Vivo MCP Server

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

01

Cline operates autonomously. it reads your codebase, plans a strategy, and executes multi-step tasks including MCP tool calls without step-by-step prompts

02

Runs inside VS Code, so you get MCP tool access alongside your existing extensions, terminal, and version control in a single window

03

Cline can create, edit, and delete files based on MCP tool responses, enabling end-to-end automation from data retrieval to code generation

04

Transparent execution: every tool call and file change is shown in Cline's activity log for full visibility and approval before committing

SPTrans Olho Vivo + Cline Use Cases

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

01

Autonomous feature building: tell Cline to fetch data from SPTrans Olho Vivo and scaffold a complete module with types, handlers, and tests

02

Codebase refactoring: use SPTrans Olho Vivo tools to validate live data while Cline restructures your code to match updated schemas

03

Automated testing: Cline fetches real responses from SPTrans Olho Vivo and generates snapshot tests or mocks based on actual payloads

04

Incident response: query SPTrans Olho Vivo for real-time status and let Cline generate hotfix patches based on the findings

Example Prompts for SPTrans Olho Vivo in Cline

Ready-to-use prompts you can give your Cline 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 Cline

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

01

Server shows error in sidebar

Click the server name to see logs. Verify the URL and token are correct.

SPTrans Olho Vivo + Cline FAQ

Common questions about integrating SPTrans Olho Vivo MCP Server with Cline.

01

How does Cline connect to MCP servers?

Cline reads MCP server configurations from its settings panel in VS Code. Add the server URL and Cline discovers all available tools on initialization.
02

Can Cline run MCP tools without approval?

By default, Cline asks for confirmation before executing tool calls. You can configure auto-approval rules for trusted servers in the settings.
03

Does Cline support multiple MCP servers at once?

Yes. Configure as many servers as needed. Cline can use tools from different servers within the same autonomous task execution.

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