com.moltlinestudio/humanizer

Est-ce que com.moltlinestudio/humanizer est sûr ?

Au dernier audit MCP Hub, le serveur MCP « com.moltlinestudio/humanizer » est classé « Non encore testé ». Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur. Le verdict est réévalué en continu ; consultez la fiche pour l'état à jour.

Méthode : MCP Hub analyse la description de chaque outil (couche 1) et, pour le verdict fort, exécute le serveur dans une micro-VM isolée avec leurres et réseau bloqué (couche 2). On publie des noms et des compteurs, jamais le contenu brut renvoyé par un outil.

Les 5 outils

• ai_tell_scan≈ 382 tokens

  Scan a draft for the measurable tells of AI-generated prose. FREE. Flags stock phrases (with exact quotes), structural reflexes, uniform sentence rhythm, em-dash overuse, and hedging boilerplate — every flag cites the actual text. Typical input {"text": "<draft>"} returns {"reads_human_score": 0-100, "metrics": {"burstiness": ..., "avg_sentence_len": ..., ...}, "evidence": [{"type": "stock_phrase", "quote": "..."}], "note": "..."}. Use for a first read on whether a draft carries machine-writing signals. Reports measurable patterns, not a verdict on who wrote the text, and must not be used to accuse a person of anything. Not for rhythm detail (burstiness_report) or for a rewrite brief (humanize_plan). Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"} (for example {"error": "empty text"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.

  Paramètres, retour & exemple (1)

  Paramètres

  • text · string · requis
    The draft to scan — at least one full sentence of plain text.

  Exemple d'appel

  {"name": "ai_tell_scan", "arguments": {"text": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• burstiness_report≈ 320 tokens

  Map a draft's sentence rhythm and find where it goes flat. FREE. Reports per-sentence lengths, the burstiness coefficient, and runs of similar-length sentences. Typical input {"text": "<draft>"} returns {"sentence_lengths": [12, 14, 13, 5, 28], "burstiness": 0.52, "flat_runs": [{"sentences": "1-3", "lengths": [12, 14, 13]}], "tip": "..."}. Use when prose reads flat and sentence-length pattern is the suspect. Not for a full inventory of tells (ai_tell_scan). Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"} (for example {"error": "need 3+ sentences"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.

  Paramètres, retour & exemple (1)

  Paramètres

  • text · string · requis
    The draft to analyze; needs at least 3 sentences.

  Exemple d'appel

  {"name": "burstiness_report", "arguments": {"text": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• humanize_plan≈ 404 tokens

  Produce a precise rewrite brief that de-AIs a draft, with numeric targets. PREMIUM (license). Lists every flagged tell with its fix and sentence-rhythm surgery targets; when a voice_fingerprint result is supplied, adds numeric targets to hit that person's voice. Apply the brief with your agent, then confirm with verify_rewrite. Typical input {"text": "<draft>", "fingerprint": <voice_fingerprint result>} returns {"current_score": 0-100, "edit_list": ["..."], "numeric_targets": {...}, "process": ..., "integrity_note": ...}. Use after a scan has identified what to fix; returns a brief, not rewritten prose. Not for checking whether a rewrite worked (verify_rewrite). Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"}. Every call is read-only and idempotent, so after correcting the input it is always safe to retry.

  Paramètres, retour & exemple (2)

  Paramètres

  • text · string · requis
    The AI draft to plan a rewrite for.
  • fingerprint · object · optionnel
    Optional voice profile object exactly as returned by voice_fingerprint; omit for a style-only pass.

  Exemple d'appel

  {"name": "humanize_plan", "arguments": {"text": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• verify_rewrite≈ 429 tokens

  Verify a rewrite actually improved: score delta, meaning check, voice distance. PREMIUM (license). Compares reads-human score before/after, a meaning-preservation proxy, and (with a fingerprint) numeric distance to the target voice. Typical input {"original": "<draft>", "rewrite": "<edited draft>"} returns {"score_before": N, "score_after": N, "score_delta": N, "content_word_retention_pct": N, "remaining_tells": [...], "verdict": "Improved — ship it" | "Marginal — ..."}. Use only when both the before and the after text are available. Not for scoring a single draft (ai_tell_scan). Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"} (for example {"error": "both texts must be non-empty"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.

  Paramètres, retour & exemple (3)

  Paramètres

  • rewrite · string · requis
    The same content after the humanize_plan edits.
  • original · string · requis
    The draft before editing.
  • fingerprint · object · optionnel
    Optional voice profile object exactly as returned by voice_fingerprint, to measure distance to the target voice.

  Exemple d'appel

  {"name": "verify_rewrite", "arguments": {"rewrite": "texte", "original": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• voice_fingerprint≈ 413 tokens

  Build a measurable voice profile from samples of a person's real writing. FREE. Feed it 2+ samples (emails, posts, essays — 150+ words total) and use the result with humanize_plan / verify_rewrite. Typical input {"samples": ["<email text>", "<blog post>"]} returns {"label": "my-voice", "target_metrics": {"avg_sentence_len": ..., "burstiness": ..., ...}, "favorite_words": [...], "signature_habits": ["..."], "words_analyzed": N}. Use on samples the person actually wrote, to build a target profile. Not for scoring an unknown draft (ai_tell_scan) and not on text the person did not write. Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"} (for example {"error": "need 150+ words of real writing across the samples"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.

  Paramètres, retour & exemple (2)

  Paramètres

  • label · string · optionnel
    Optional name for this voice profile. Default "my-voice".
  • samples · array · requis
    List of real writing samples by the same person; 150+ words combined across all samples.

  Exemple d'appel

  {"name": "voice_fingerprint", "arguments": {"samples": []}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

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Source

https://mcp.moltlinestudio.com/humanizer