Compatible with every major AI agent and IDE
Get arrivals on Transport for London
Returns predicted arrival times, destination, line number, vehicle ID and expected time to station. Use the stop point ID (e.g. "490009056W") from search_stop. Get live arrival predictions for a bus stop
Get bike point detail on Transport for London
Get detailed info for a specific bike docking station
Get bike points on Transport for London
Returns bike availability, dock availability, station locations and status. Useful for finding nearby bikes for cycling journeys. Search for Santander Cycle (Boris Bike) docking stations
Get journey on Transport for London
Returns multiple route options with estimated duration, walking distance, fare cost, number of changes and step-by-step directions. Input locations can be station names, addresses or postcodes. Plan a journey between two points in London
Get line detail on Transport for London
Supports tube, overground, DLR, Elizabeth line, tram and river bus lines. Get detailed information about a specific TfL line
Get line routes on Transport for London
Returns the ordered list of stations the line serves. Useful for understanding the full journey path of a tube line. Get the route sequence for a TfL line
Get line status on Transport for London
Shows whether each line has Good Service, Minor Delays, Severe Delays, or is Suspended/Part Suspended. If no line IDs specified, returns all tube lines. Use line_ids to check specific lines (comma-separated, e.g. "central,victoria,northern"). Get real-time status for TfL tube lines
Get road disruptions on Transport for London
Returns disruption details with severity, location, cause and estimated clearance times. Get current road disruptions in London
Get road status on Transport for London
Shows whether roads have Good, Minor or Severe congestion. Get status of London major roads
Get stop details on Transport for London
Useful for identifying the correct stop ID for arrival queries. Get details for a specific bus stop or station
Search stop on Transport for London
Returns matching stops with their IDs, locations, modes and routes. Use the returned IDs with get_arrivals or get_stop_details. Search for bus stops and stations by name
How Vinkius protects your data
Can I check live bus arrivals?
Yes! First use search_stop to find the stop ID by name, then use get_arrivals with that stop ID to get real-time bus arrival predictions.
What happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
What can AI Agents do with Transport for London?
The Transport for London integration provides structured, LLM-friendly schemas for reliable tool execution within your agentic workflows.
public transport & AI Execution
Use Transport for London to interface with public transport via natural language. The toolkit provides Cursor with LLM-friendly schemas for productivity tasks.
Seamless transit data Integration
Use Transport for London to manage transit data via conversational interfaces. The integration centralizes access control for productivity operations performed by ChatGPT.
Transport for London. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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