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Etincel Nonfiction MCP server

online · 100% uptime
by etincel.ai·ai.etincel/etincel-nonfiction·v0.10.1·9 stars
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Trainable non-fiction writing voice, presets, and an anti-AI-tells audit for Claude, via MCP.

B82/100grade B
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Safety scan
B82/100

full report

Adoption
Growing

9 stars149 downloads/wk

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Etincel Nonfiction tools

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Public scan report

scanner v0.1.10 · 2026-11-03 · same rubric, same numbers if you re-run it

2 medium
  • Code scan73 source files scanned15/25
  • Live reliabilityremote reachable in 206ms (auth required)20/20
  • –Tool poisoningtools not inspected (endpoint requires auth); not countedn/a
  • Auth qualityOAuth resource metadata advertised on 40115/15
  • Maintenancelast push 80 days ago12/15
  • Maintainer identityendpoint served from the registry-verified namespace domain8/10

Findings (2)

  • mediumnpm install lifecycle script presentinstall.script
  • mediumnpm install lifecycle script presentinstall.script
    package.json: …st src/*.test.ts src/**/*.test.ts", "postinstall": "node -e \"require('fs').existsSync('ts…
Overall 82/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Etincel Nonfiction compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
82/100
higher than 63% of 48,255 servers
Uptime
100%
of our recent checks; the typical remote server answers 100%
Response time
188 ms
faster than 66% of 30,031 servers
GitHub stars
9
more than 87% of 28,688 servers
Downloads a week
149
more than 71% of 12,191 servers with a package

Install Etincel Nonfiction in Claude Code, Cursor or VS Code

claude mcp add --transport http etincel-nonfiction https://etincel.ai/api/mcp
Add to Cursor

What the publisher says

From the Etincel Nonfiction repository's README, as published. We do not edit it. Read it on GitHub

Étincel: Non-Fiction Writing Connector

___           ___                       ___           ___           ___           ___
     /\  \         /\  \          ___        /\__\         /\  \         /\  \         /\__\
    /::\  \        \:\  \        /\  \      /::|  |       /::\  \       /::\  \       /:/  /
   /:/\:\  \        \:\  \       \:\  \    /:|:|  |      /:/\:\  \     /:/\:\  \     /:/  /
  /::\~\:\  \       /::\  \      /::\__\  /:/|:|  |__   /:/  \:\  \   /::\~\:\  \   /:/  /
 /:/\:\ \:\__\     /:/\:\__\  __/:/\/__/ /:/ |:| /\__\ /:/__/ \:\__\ /:/\:\ \:\__\ /:/__/
 \:\~\:\ \/__/    /:/  \/__/ /\/:/  /    \/__|:|/:/  / \:\  \  \/__/ \:\~\:\ \/__/ \:\  \
  \:\ \:\__\     /:/  /      \::/__/         |:/:/  /   \:\  \        \:\ \:\__\    \:\  \
   \:\ \/__/     \/__/        \:\__\         |::/  /     \:\  \        \:\ \/__/     \:\  \
    \:\__\                     \/__/         /:/  /       \:\__\        \:\__\        \:\__\
     \/__/                                   \/__/         \/__/         \/__/         \/__/

Find the AI tells in your prose. Deterministically, locally, in CI.

npx etincel lint README.md

No install, no account, no model call, no network.

$ npx etincel lint drafts/announcement.md --register blog
✗ drafts/announcement.md  RED 100/100  (8 findings, 169 words, register: blog)
  Heavy AI styling. Multiple strong tells stacking up, worth a structural
  rewrite, not a word-swap pass.

  Whole-piece rhythm
    medium  uniform-paragraph-length
            6 paragraphs, most running about the same length with little
            variation between them. Vary paragraph length more.
    medium  low-burstiness
            13 sentences averaging 13 words, with little variation in length
            from one sentence to the next. Mix short sentences with long;
            allow fragments.
    medium  mechanical-register-drift
            Fragment rate and structural variety (sentence openers,
            punctuation mix) sit off where blog prose typically lands. Allow
            more sentence fragments and vary openers/punctuation more.

  Vocabulary and phrasing
    high    comprehensive  L3:C30   → thorough, complete
    high    cutting-edge   L3:C109  → newest, latest
    high    leverage       L3:C99   → use
    high    seamless       L3:C150  → smooth, easy
    high    streamline     L3:C70   → simplify, speed up

  strengths

Étincel is two things. A deterministic audit that finds the patterns making prose read as machine-written, as a CLI, a GitHub Action, and an MCP tool. And a voice layer that trains Claude, Cursor, or any MCP client to draft in a style measured from your own writing, so the problem is smaller before you ever read the draft.

AI-drafted prose has a recognizable shape: uniform paragraphs, hedged authority, em dashes where a comma would do, closings that resolve too neatly. Étincel encodes the rules against that shape and, just as important, shows you what it found and why instead of quietly overwriting your voice. There is no model call anywhere in the audit path, and you decide what changes. You stay the author.

Does it work?

We measure it rather than assert it. Pooled AUC per register, measured by assay against labeled corpora with a fixed bootstrap seed, so any PR that drops these numbers fails CI:

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Etincel Nonfiction: common questions

Is Etincel Nonfiction MCP server safe?
Mostly: it is graded B (82/100). Read the Etincel Nonfiction safety report
How do I install Etincel Nonfiction?
It runs remotely at etincel.ai. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does Etincel Nonfiction need an API key?
No key to paste: it signs you in with OAuth when your client connects.
Is Etincel Nonfiction maintained?
The last commit was 81 days ago (2026-08-15). The latest release is v0.10.1.
Is Etincel Nonfiction up?
100% of our last 28 checks got an answer. We check remote servers about four times a day.
How does Etincel Nonfiction compare with other MCP servers?
safety score 82/100 (higher than 63% of 48,255 servers); uptime 100% (of our recent checks; the typical remote server answers 100%); response time 188 ms (faster than 66% of 30,031 servers). Full comparison.