npm/nocturnusai-mcp
graded version 0.3.13 · litmus-v11 · 2026-07-02
Adoption 25/100 · 230 npm/mo · as of 2026-07-04
- C-01 Tool-output injection
- pass
- C-02 Permission / egress overreach
- pass
- C-03 Sensitive-data handling
- pass
- C-04 Adversarial-input handling
- pass
tool-defs fingerprint · 0x6ec5f6…ede86
Why A: All four categories passed. No injection, no data leak, no egress overreach, and adversarial inputs were handled cleanly (A means no overreach, not no network).
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Monitor this serverAdoption signals
The 25 / 100 adoption score blends the raw signals below — downloads, stars, dependents and release velocity — normalized across every tracked server. It measures reach, not safety; the litmus grade is the safety verdict. See the methodology.
- npm downloads (30d)
- 230
- GitHub stars
- 2
- Forks
- 0
- Contributors
- 3
- Dependents (deps.dev)
- 0
- Last published
- 2026-04-17
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The harness is open and deterministic. Re-run it against the same server and compare the grade and fingerprint — a false grade is falsifiable, not merely disputable.
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Drop it in a README, docs site, or package page. It always shows the current published grade and links back here.
[](https://polygraph.so/mcp/npm/nocturnusai-mcp)<a href="https://polygraph.so/mcp/npm/nocturnusai-mcp"><img src="https://polygraph.so/api/badge?server=npm/nocturnusai-mcp" alt="polygraph grade"></a>[](https://polygraph.so/mcp/npm/nocturnusai-mcp)Questions
- What does polygraph's A grade mean for npm/nocturnusai-mcp?
- It’s a behavioral grade on an A–F scale. polygraph connected to npm/nocturnusai-mcp the way an agent would, exercised its tools, and watched what it did — whether it tried to hijack the caller, send data off-box, leak planted secrets, or mishandle adversarial input. A is where that evidence placed it. It describes behavior on the day it ran, not a guarantee.
- What did polygraph test?
- Four probe categories, run against the live server in a sandbox: C-01 tool-output injection, C-02 permission and egress overreach, C-03 sensitive-data handling, and C-04 adversarial-input handling. The full battery is in the methodology.
- How do I reproduce this grade?
- Run
npx -p @polygraphso/litmus polygraphso-litmus npm/nocturnusai-mcp. The harness is open and deterministic, so anyone can re-run it against the same server and disprove a false grade — reproducibility is what the grade rests on. - Can a server pay polygraph for a better grade?
- No. Independence is disclosure-based: material support must be publicly registered, and no graded party gets review or approval rights over its letter. The grade is set by the evidence, not the relationship.