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
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.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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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 all positions on SPTrans Olho Vivo
Get real-time GPS positions for all active buses
Get forecast on SPTrans Olho Vivo
Get arrival forecast for a specific stop and line
Get forecast by line on SPTrans Olho Vivo
Get arrival forecast for all stops on a specific line
Get forecast by stop on SPTrans Olho Vivo
Get arrival forecast for all lines arriving at a specific stop
Get positions by line on SPTrans Olho Vivo
Get real-time GPS positions for buses on a specific line
Get positions in garage on SPTrans Olho Vivo
Get real-time GPS positions for buses currently in the garage
List companies on SPTrans Olho Vivo
List bus operating companies by area
List corridors on SPTrans Olho Vivo
List all intelligent bus corridors in São Paulo
Search lines on SPTrans Olho Vivo
Search for bus lines by number or name
Search lines by direction on SPTrans Olho Vivo
Search for bus lines filtered by direction
Search stops on SPTrans Olho Vivo
Search for bus stops by name or address
Search stops by corridor on SPTrans Olho Vivo
Get all stops in a specific intelligent corridor
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.
Open Cline MCP Settings
Add remote server
Enable the server
Start using SPTrans Olho Vivo
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.
Cline operates autonomously. it reads your codebase, plans a strategy, and executes multi-step tasks including MCP tool calls without step-by-step prompts
Runs inside VS Code, so you get MCP tool access alongside your existing extensions, terminal, and version control in a single window
Cline can create, edit, and delete files based on MCP tool responses, enabling end-to-end automation from data retrieval to code generation
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.
Autonomous feature building: tell Cline to fetch data from SPTrans Olho Vivo and scaffold a complete module with types, handlers, and tests
Codebase refactoring: use SPTrans Olho Vivo tools to validate live data while Cline restructures your code to match updated schemas
Automated testing: Cline fetches real responses from SPTrans Olho Vivo and generates snapshot tests or mocks based on actual payloads
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.
"Search for bus lines related to 'Lapa'."
"What are the arrival forecasts for stop code 650005666?"
"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.
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SPTrans Olho Vivo + Cline FAQ
Common questions about integrating SPTrans Olho Vivo MCP Server with Cline.
How does Cline connect to MCP servers?
Can Cline run MCP tools without approval?
Does Cline support multiple MCP servers at once?
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