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Vinkius runs on Cursor

How to Use the TfL MCP in Cursor

Inject live TfL transit and bike availability data directly into your code using Cursor.

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Works with every AI agent you already use

…and any MCP-compatible client

TfL MCP on Cursor AI Code Editor MCP Client TfL MCP on Claude Desktop App MCP Integration TfL MCP on OpenAI Agents SDK MCP Compatible TfL MCP on Visual Studio Code MCP Extension Client TfL MCP on GitHub Copilot AI Agent MCP Integration TfL MCP on Google Gemini AI MCP Integration TfL MCP on Lovable AI Development MCP Client TfL MCP on Mistral AI Agents MCP Compatible TfL MCP on Amazon AWS Bedrock MCP Support
MCP Servers — Included with Plan
Vinkius runs on Cursor

Connect TfL MCP to Cursor

Create your Vinkius account to connect TfL to Cursor — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Key Capabilities

Integrate TfL status checks into your agent mode

Writing a trip planner? Call `get_line_status` to check the live operational status of any line before running the main logic. This ensures the code accounts for suspensions or major delays. It's crucial for coding reliable agents because it gives you immediate, accurate data on service severity and specific disruption details.

Get precise bike dock availability with Cursor

Need to know how many bikes are actually available at a spot? Use `get_bike_point` for that. It returns the dock ID, total capacity, current available bikes, and empty docks. This lets your code dynamically check local infrastructure status before recommending last-mile cycle connectivity.

Handle complex journeys with live data from MCP Server

When building a trip function, use `get_journey`. This returns multiple route options—tube, bus, walking, etc.—each complete with total duration and interchange counts. Your agent can then compare these results in the code itself, selecting the best path based on criteria you write.

Setup guide

Set up TfL MCP in Cursor

Prerequisites

  • Cursor installed (macOS, Windows, or Linux)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Open MCP Settings

    Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".

  2. 2

    Add the TfL MCP

    Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.

  3. 3

    Enable Agent mode

    Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.

  4. 4

    Verify the connection

    Ask Cursor something like "List my recent TfL transactions." If the MCP tools are loaded correctly, Cursor will call the TfL tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json
{
  "mcpServers": {
    "tfl-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by TfL. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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 TfL MCP in Cursor

Use `get_road_disruptions` to get current road closures, or use `get_line_status` if the issue is on a train line. The API returns cause types (like 'roadworks') and affected segments.
Yes, definitely. `get_journey` handles combining tube, bus, cycling, and walking into a single callable result set. You just feed the origin and destination to the function.
The server provides highly granular data like precise stop IDs, line names (e.g., 'Overground'), vehicle IDs for arrivals, and accessibility details at stations.
Use `search_stop_point`. You can filter by name or mode (tube/bus) to get the exact stop point IDs needed to query arrivals.
The server touches operational status feeds, geographic coordinates, and predicted arrival timestamps. It is designed for public infrastructure information, not private user data.

Start using the TfL MCP today

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

Built & Managed by Vinkius 30s setup 12 tools

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

No hosting. No infrastructure. No complex setup.
All 12 tools are live and waiting. You're up and running in seconds.

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