pulsemcp verified Safe content atomic mcp-remote

Transport for London

Transport for London (TfL) MCP server providing real-time London transport data through three core tools: line status monitoring, detailed disruption information, and journey planning between any London locations or UK postcodes. Built by anoopt using the official TfL Unified API, it handles location disambiguation intelligently by presenting users with specific station options when multiple matches are found, and supports both basic status checks and comprehensive journey planning with walking directions, platform information, and disruption alerts. The server automatically injects TFL_API_KEY from environment variables and supports multiple transport modes including tube, bus, rail, and walking, making it valuable for commuters, travelers, and applications needing accurate London transport information.

Cognium trust score

89%

Tier

Verified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.

Scan details: Circle-IR · 2026-09-28 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: monitoring
Source: PulseMCP
Repository: github.com/anoopt/london-tfl-journey-status-mcp-server
Author type: human
Last scanned: 2026-09-28
Updated: 2026-09-28

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MCP

Resolve Transport for London from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

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

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"