4,500+ servers built on MCP Fusion
Vinkius
Transport for London logo
Vinkius
Claude Code logo

How to Use the Transport for London MCP in Claude Code

Run Transport for London checks in CI/CD pipelines with Claude Code.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

Transport for London MCP on Cursor AI Code Editor MCP Client Transport for London MCP on Claude Desktop App MCP Integration Transport for London MCP on OpenAI Agents SDK MCP Compatible Transport for London MCP on Visual Studio Code MCP Extension Client Transport for London MCP on GitHub Copilot AI Agent MCP Integration Transport for London MCP on Google Gemini AI MCP Integration Transport for London MCP on Lovable AI Development MCP Client Transport for London MCP on Mistral AI Agents MCP Compatible Transport for London MCP on Amazon AWS Bedrock MCP Support
MCP Servers - Free for Subscribers
Claude Code

Connect Transport for London MCP to Claude Code

Create your Vinkius account to connect Transport for London to Claude Code and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Schedule journey planning reports via the MCP Server

Set up a cron job to check travel viability. You script `get_journey` and pipe the output, getting multiple route options for key London corridors. This allows automated reporting on expected commute times. This mechanism runs entirely headless, perfect for generating nightly reports without needing an active user interface.

Monitor line status across Transport for London using Claude Code

Schedule a script to check the system health. Running `get_line_status` allows you to quickly verify if all critical tube lines are reporting 'Good Service' across your entire network. You can filter specific lines by passing IDs, ensuring your CI/CD pipeline only reports on the services that matter most for deployment testing.

Automate bike point inventory checks with Claude Code

Run a script to monitor local cycling resources. Use `get_bike_points` in a headless environment to get current availability and status across numerous stations. This is ideal for checking capacity before launching an event. The output provides structured JSON data detailing dock count, bike count, and location coordinates.

Setup guide

Set up Transport for London MCP in Claude Code

Prerequisites

  • Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Run the add command

    Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.

  2. 2

    Verify the connection

    Start a Claude Code session and type /mcp to list connected servers. You should see transport-for-london-mcp with a green status indicator.

  3. 3

    Start using tools

    Ask Claude Code something like "Check my latest Transport for London transactions." It will automatically discover and invoke the available Transport for London tools.

Terminal
claude mcp add --transport http transport-for-london-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Transport for London MCP in Claude Code

You write a shell script that calls `get_journey` using station names or postcodes. The output, containing estimated duration and fare cost, gets piped directly into your logging system.
You monitor road conditions using `get_road_disruptions`. The script checks the severity and location, triggering an alert if a major disruption is detected in a key operational area.
Sure. Your pipeline first calls `search_stop` using a known stop name or ID, then feeds that result into `get_arrivals` to get the latest predicted arrival times.
The server delivers operational metrics: bus/train arrivals (`get_arrivals`), line status, road congestion levels, and cycling dock inventory counts. All output is machine-readable.
The server only touches public operational information. This includes line status (`get_line_status`), road congestion levels, and bike point availability counts—none of which involve personal user data.

Start using the Transport for London MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 11 tools

We've already built the connector for Transport for London. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 11 tools are live and waiting. You're up and running in seconds.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients

Vinkius gives your AI agents access to the full catalog of app connectors, all fully managed, secure, and enterprise-ready. One subscription, every tool you need.

Zero hosting required Full MCP catalog included Enterprise-grade security Auto-updated by Vinkius

Built, hosted, and secured by Vinkius. You just connect and go.