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Moltline Humanizer

R0· no sign-in

Find AI-isms with evidence and fingerprint a writing voice from samples. 3 of 5 free.

v1.2.0 · active · repository · website · descriptor JSON · versions

An agent can connect right now, no human step.Remote endpoint, no authentication, reachable on the last probe.
Quality91strong
Trust84of 100
Uptime, 30 days96%
Latency p50160 ms

Connect

8 clients · secrets stay placeholders
{
  "mcpServers": {
    "humanizer": {
      "type": "http",
      "url": "https://mcp.moltlinestudio.com/humanizer"
    }
  }
}
claude mcp add --transport http humanizer https://mcp.moltlinestudio.com/humanizer
[mcp_servers.humanizer]
url = "https://mcp.moltlinestudio.com/humanizer"
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "humanizer": {
      "type": "remote",
      "url": "https://mcp.moltlinestudio.com/humanizer",
      "enabled": true
    }
  }
}
{
  "mcpServers": {
    "humanizer": {
      "type": "http",
      "url": "https://mcp.moltlinestudio.com/humanizer"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=humanizer&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vbWNwLm1vbHRsaW5lc3R1ZGlvLmNvbS9odW1hbml6ZXIifQ%3D%3D"
}
{
  "servers": {
    "humanizer": {
      "type": "http",
      "url": "https://mcp.moltlinestudio.com/humanizer"
    }
  }
}
{
  "mcpServers": {
    "humanizer": {
      "httpUrl": "https://mcp.moltlinestudio.com/humanizer"
    }
  }
}
extensions:
  "humanizer":
    enabled: true
    name: "humanizer"
    type: streamable_http
    uri: "https://mcp.moltlinestudio.com/humanizer"
    timeout: 300

Quality 91 / 100strong

protocol75 · weight 25
  • warn
    protocol.modernnewest supported version is 2025-11-25; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
  • n/a
    protocol.statelessonly applies to 2026-07-28 servers
  • pass
    protocol.transportstreamable HTTP
  • n/a
    protocol.list_ttlonly applies to 2026-07-28 servers
authorizationn/a · weight 15
  • n/a
    auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
  • n/a
    auth.secret_in_urlno templated URL
tool hygiene100 · weight 30
  • pass
    tools.descriptionsevery tool has a description
  • pass
    tools.description_lengthdescriptions are concise
  • pass
    tools.schemasevery tool has an object input schema
  • pass
    tools.annotations5 of 5 tools declare readOnlyHint or destructiveHint
  • pass
    tools.directory_hintsevery tool declares readOnlyHint, destructiveHint, idempotentHint and openWorldHint
  • pass
    tools.token_costabout 1,665 tokens to load every tool
  • pass
    tools.api_dumptools are not a one-to-one API dump
stability100 · weight 15
  • pass
    stability.changesno tool changes in 30 days
  • pass
    stability.rug_pullno tool changed its meaning under the same name
dependenciesn/a · weight 15
  • n/a
    deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

5 tools, about 1,665 tokens to load them all · tool set 81fce6060a3d · checked 2026-10-20 07:53 UTC

Tool changes

No tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 84 / 100

duplicate-repo
provenance85
liveness99
freshness85
hygiene60

+repository +dns-namespace +website +reachable +uptime-96% ~updated-42d-ago -duplicate-repo(22 names)

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Endpoints

remoteauthreachableuptime 30dp50protocollast ok
https://mcp.moltlinestudio.com/humanizer streamable-httpnoneyes96%160 ms2025-11-252026-10-20

Tools (5)

ai_tell_scanread-onlyScan 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.
burstiness_reportread-onlyMap 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.
humanize_planread-onlyProduce 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.
verify_rewriteread-onlyVerify 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.
voice_fingerprintread-onlyBuild 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.

Schemas: list_tools.

Also listed as

21 other active names share this repository (showing 10): com.moltlinestudio/business, com.moltlinestudio/catalog, com.moltlinestudio/codereview, com.moltlinestudio/creator, com.moltlinestudio/data, com.moltlinestudio/dropship, com.moltlinestudio/educator, com.moltlinestudio/govern, com.moltlinestudio/merchant, com.moltlinestudio/optimize

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Official server.json
{
  "name": "com.moltlinestudio/humanizer",
  "icons": [
    {
      "src": "https://moltlinestudio.com/icon-192.png",
      "sizes": [
        "192x192"
      ],
      "mimeType": "image/png"
    }
  ],
  "title": "Moltline Humanizer",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://mcp.moltlinestudio.com/humanizer",
      "type": "streamable-http"
    }
  ],
  "version": "1.2.0",
  "repository": {
    "url": "https://github.com/GarphenGate/moltline-mcp",
    "source": "github"
  },
  "websiteUrl": "https://moltlinestudio.com/servers.html#humanizer",
  "description": "Find AI-isms with evidence and fingerprint a writing voice from samples. 3 of 5 free."
}