Skip to content
verify mcp Beta VerifyMCP is currently in beta. If you notice any issues, get in touch and we’ll put it right.

io.github.Yuikij/mcp-turtle-noir

NPM · MCP-TURTLE-NOIR · 2 COMPONENTS

Play Turtle Soup (lateral thinking puzzles) against a strict AI host with yes/no questioning.

0 this week 75 Trust /100

Last scanned (1 hour ago)

Scores higher than 50% of npm servers

Category Entertainment and Games

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 Security81
  • No malware found by supply-chain analysis.Pass
  • CVE check failed: a known high-severity CVE affects @modelcontextprotocol/sdk 0.5.0, a direct dependency. A fixed version is available. View diagnostics → Fail
  • No install/post-install scripts declared.Pass
  • 7 of 16 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency45
Schema Quality & AI Usability72
  • AI-judged instruction clarity (good).Pass
  • Tool/resource definitions use about 271 tokens (~90/item across 3 items; 3 tools + 0 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
  • No destabilizing schema changes in the last 30 days.Pass
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 3 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 3 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities20
  • Spec-recency check failed: implements MCP spec 2024-11-05; the latest is 2026-07-28. See how to fix → Fail
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.

  • 3 Nov 26 0
    • Stability: 0.97 → pass security
  • 2 Nov 26 0
    • Stability: pass → 0.97 functional
  • 27 Oct 26 0
    • Stability: 0.97 → pass security
  • 26 Oct 26 0
    • Stability: pass → 0.97 functional
  • 24 Oct 26 0
    • CVE-2023-54404 affects this package: high ▼ security
  • 21 Oct 26 0
    • CVE-2026-111769 affects this package: high ▼ security
  • 20 Oct 26 0
    • Stability: 0.97 → pass security
  • 19 Oct 26 0
    • Stability: pass → 0.97 functional
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 5 Nov 2026 · Analysed npm/mcp-turtle-noir@1.2.2

Provenance No attestation

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

Result No attestation
Ecosystem npm

Background: How many MCP packages publish verified provenance →

Vulnerabilities 3 findings
ID CVE Severity Vector Fix available
GHSA-6prh-2h8m-c8cw CVE-2026-111769 medium CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:L/A:N yes
GHSA-w48q-cv73-mx4w CVE-2025-66414 high yes
GHSA-mrhx-c7xc-m3w5 CVE-2023-54404 high CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H yes

Background: What a vulnerability scan can and cannot prove →

Dependencies 16 packages
Packages resolved 16
Stale 7
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 3 exposed · ~271 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
ask_question ~83

Ask a question for the active session. Detect user language and pass language (zh-CN/en-US/ja-JP).

NameTypeReqDescription
languagestring–User language for localized response, e.g. zh-CN/en-US/ja-JP
questionstringyesDetective question to judge
session_idstringyesSession ID returned by start_session

No output schema declared.

No examples provided.

give_up_and_reveal ~78

Give up the current session and reveal the full story. Detect user language and pass language (zh-CN/en-US/ja-JP).

NameTypeReqDescription
languagestring–User language for localized response, e.g. zh-CN/en-US/ja-JP
session_idstringyesSession ID returned by start_session

No output schema declared.

No examples provided.

start_session ~110

Start a new Turtle Soup session. Detect user language and pass language (zh-CN/en-US/ja-JP). Optional: region, difficulty, keyword.

NameTypeReqDescription
difficultystring–Optional difficulty preference
keywordstring–Optional fuzzy keyword on title/surface/tags
languagestring–User language for localized response, e.g. zh-CN/en-US/ja-JP
regionstring–Optional region code, e.g. US/CN/JP

No output schema declared.

No examples provided.

Install

How do I install the io.github.Yuikij/mcp-turtle-noir server?

io.github.Yuikij/mcp-turtle-noir runs locally as an npm package, launched with npx -y mcp-turtle-noir. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

npm · mcp-turtle-noir

# add to Claude Code
claude mcp add yuikij-mcp-turtle-noir -- npx -y mcp-turtle-noir
Common questions

What is the io.github.Yuikij/mcp-turtle-noir server?

io.github.Yuikij/mcp-turtle-noir is listed in the public MCP registry as io.github.Yuikij/mcp-turtle-noir. Play Turtle Soup (lateral thinking puzzles) against a strict AI host with yes/no questioning. This page covers its npm package (mcp-turtle-noir).

Is the io.github.Yuikij/mcp-turtle-noir server safe to use?

io.github.Yuikij/mcp-turtle-noir scores 75 out of 100 on VerifyMCP. We recorded 3 known advisories against it as of 5 November 2026. It declares no install or post-install scripts. 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.Yuikij/mcp-turtle-noir server expose?

io.github.Yuikij/mcp-turtle-noir exposes 3 tools: start_session, ask_question, give_up_and_reveal. Their descriptions and schemas cost roughly 271 tokens of context every time the server is loaded.

Is the io.github.Yuikij/mcp-turtle-noir server still maintained?

io.github.Yuikij/mcp-turtle-noir is still listed as active in the MCP registry. We last reached this channel on 5 November 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.Yuikij/mcp-turtle-noir server under?

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