# TFL MCP Server for Poke

> Use this tool when you need to access real-time Transport for London (TfL) data to provide users with accurate information on tube and bus arrivals, line status, and journey planning. It solves problems such as helping users navigate London's transport network, planning routes, and avoiding disruptions. The tool takes location and route queries as input and outputs relevant TfL data, making it ideal for use in virtual assistants and travel planning applications.

Canonical page: https://skillsregistry.net/skills/vjagiasi-tfl-mcp  
JSON: https://api.skillsregistry.net/v1/skills/vjagiasi-tfl-mcp

## Description

Enables AI assistants to access real-time Transport for London data, including tube/bus arrivals, line status, journey planning, and disruptions.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ff2d4uddiv)
- **Repository:** <https://github.com/VJagiasi/tfl-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "vjagiasi-tfl-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vjagiasi-tfl-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vjagiasi-tfl-mcp/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt