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io.github.oneill9/tfl-mcp-server

OCI · GHCR.IO/ONEILL9/TFL-MCP-SERVER:1.5.2 · SCANNED SEP 20

Community-built server providing real-time London transport data via the TfL Unified API

0 this week 52 Trust /100
Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →

Supply Chain Security0
  • Malware scan not yet available for this package.Unverified
  • Known CVEs could not be checked: this artifact ships no SBOM, so there is no dependency list to read. Publishing one would let us assess it.Unverified
  • Install-script risk not yet assessed.Unverified
  • Dependency health could not be checked: this artifact ships no SBOM, so there is no dependency list to read. Publishing one would let us assess it.Unverified
Provenance & Transparency45
Schema Quality & AI Usability81
  • 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
  • AI-judged instruction clarity (good).Pass
  • Tool/resource definitions use about 327 tokens (~46/item across 7 items; 6 tools + 1 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management90
  • Stability observed for 27 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 100% of tool parameters carry a description.Pass
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 6 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 7 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities47
  • Spec-recency check failed: implements MCP spec 2024-11-05; the latest is 2026-07-28. See how to fix → Fail
  • Supports UI / widget rendering.Pass

Unverified: 1 category

A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.

Install

How do I install the io.github.oneill9/tfl-mcp-server server?

io.github.oneill9/tfl-mcp-server runs locally as a container image, launched with docker run --rm -i ghcr.io/oneill9/tfl-mcp-server:1.5.2. Ready-made configuration for Claude, Cursor, VS Code, Codex and 3 more is on this page, copied from each client's own documentation.

oci · ghcr.io/oneill9/tfl-mcp-server:1.5.2

# add to Claude Code
claude mcp add oneill9-tfl-mcp-server -- docker run --rm -i ghcr.io/oneill9/tfl-mcp-server:1.5.2
// .cursor/mcp.json
{
  "mcpServers": {
    "oneill9-tfl-mcp-server": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "ghcr.io/oneill9/tfl-mcp-server:1.5.2"
      ]
    }
  }
}
// .vscode/mcp.json
{
  "servers": {
    "oneill9-tfl-mcp-server": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "ghcr.io/oneill9/tfl-mcp-server:1.5.2"
      ]
    }
  }
}
# add to Codex CLI
codex mcp add oneill9-tfl-mcp-server -- docker run --rm -i ghcr.io/oneill9/tfl-mcp-server:1.5.2
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "oneill9-tfl-mcp-server": {
      "type": "local",
      "command": [
        "docker",
        "run",
        "--rm",
        "-i",
        "ghcr.io/oneill9/tfl-mcp-server:1.5.2"
      ],
      "enabled": true
    }
  }
}
# ~/.hermes/config.yaml
mcp_servers:
  oneill9-tfl-mcp-server:
    command: "docker"
    args: ["run", "--rm", "-i", "ghcr.io/oneill9/tfl-mcp-server:1.5.2"]
// ~/.netclaw/config/netclaw.json
{
  "McpServers": {
    "oneill9-tfl-mcp-server": {
      "Transport": "stdio",
      "Command": "docker",
      "Arguments": [
        "run",
        "--rm",
        "-i",
        "ghcr.io/oneill9/tfl-mcp-server:1.5.2"
      ]
    }
  }
}
// mcp.json
{
  "mcpServers": {
    "oneill9-tfl-mcp-server": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "ghcr.io/oneill9/tfl-mcp-server:1.5.2"
      ]
    }
  }
}
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 19 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.

  • 17 Sept 26 −2
    • Stability: pass → 0.80 functional
  • 16 Sept 26 0
    • Stability: 0.97 → pass security
    • Security disclosure: unverified → fail functional
  • 15 Sept 26 +1
    • Security disclosure: fail → unverified functional
  • 12 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.

  • 10 Sept 26 −2
    • Stability: pass → 0.80 functional
  • 9 Sept 26 0
    • Stability: 0.97 → pass security
  • 8 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 93 to 97. That category is still filling its 30-day observation window: 28 days of observed history at the previous scan, 29 at this one. The score rises as the window fills, whether or not the server changes.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 20 Sept 2026 · Analysed oci/ghcr.io/oneill9/tfl-mcp-server:1.5.2

Provenance No attestation

The registry publishes no build provenance for this version, so there is nothing to verify.

Result No attestation
Ecosystem oci
Reason No attestation published

Background: How many MCP packages publish verified provenance →

MCP tools · 6 exposed · ~314 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
arrivals ~35

Get live arrivals at a TfL stop.

NameTypeReqDescription
stopNamestringyesStop name or search term, e.g. oxford

No output schema declared.

No examples provided.

bike_points ~51

Get TfL Santander Cycles bike point locations with available bikes and empty docks. Optionally filter by name with a search query.

NameTypeReqDescription
querystringOptional name search, e.g. clerkenwell

No output schema declared.

No examples provided.

crowding ~52

Get live crowding data for a TfL station. Returns the current crowding level as a percentage of the typical baseline.

NameTypeReqDescription
stopNamestringyesStop name or search term, e.g. oxford

No output schema declared.

No examples provided.

fares ~66

Get fare information between two TfL stops, including pay-as-you-go and cash single prices for peak and off-peak travel.

NameTypeReqDescription
fromNamestringyesOrigin stop name, e.g. oxford
toNamestringyesDestination stop name, e.g. bank

No output schema declared.

No examples provided.

journey ~67

Plan a journey between two points using the TfL Journey Planner. Can bridge different transport modes seamlessly.

NameTypeReqDescription
fromstringyesOrigin: NaPTAN ID, postcode, or lat,lon
tostringyesDestination: NaPTAN ID, postcode, or lat,lon

No output schema declared.

No examples provided.

service_status ~43

Get the current operational status and delays for one or more TfL public transport modes.

NameTypeReqDescription
modesstringyesTfL mode to query. Currently only tube is supported.

No output schema declared.

No examples provided.

Common questions

What is the io.github.oneill9/tfl-mcp-server server?

io.github.oneill9/tfl-mcp-server is listed in the public MCP registry as io.github.oneill9/tfl-mcp-server. Community-built server providing real-time London transport data via the TfL Unified API. This page covers its container image (ghcr.io/oneill9/tfl-mcp-server:1.5.2).

Is the io.github.oneill9/tfl-mcp-server server safe to use?

io.github.oneill9/tfl-mcp-server scores 52 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the io.github.oneill9/tfl-mcp-server server expose?

io.github.oneill9/tfl-mcp-server exposes 6 tools: arrivals, service_status, journey, crowding, fares, bike_points. Their descriptions and schemas cost roughly 314 tokens of context every time the server is loaded.

Is the io.github.oneill9/tfl-mcp-server server still maintained?

io.github.oneill9/tfl-mcp-server is still listed as active in the MCP registry. We last reached this channel on 20 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

What licence is the io.github.oneill9/tfl-mcp-server server under?

io.github.oneill9/tfl-mcp-server declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.