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Nothing to run from here
Etincel Nonfiction is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
95/100
trust score
15
downloads a day
local
or remote
469
downloads in 30d
What it does
Trainable non-fiction writing voice, presets, and an anti-AI-tells audit for Claude, via MCP.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user etincel-nonfiction-mcp '--' npx -y etincel serve
# 2 — ask your agent for something these tools do
# list_styles, get_style_guide, train_style and 17 more
Remote: OAuth sign-in · Package: no sign-in.
Etincel Nonfiction costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Publishernot claimed
ETAll 1 server
etincel1 server
1 category
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Installation
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. This one can run either way — at an address its publisher runs, or as a process under your own user, with your files and your network — and this marketplace is in the path of neither.
Claude Codedeclared by this listing
This is a public server: you run it yourself and this marketplace is not in the path. You need Node.js — the current LTS (24) is the safe choice; npx comes with it. Claude Code registers it in one command; --scope user makes it available in every project. The '--' is in quotes so that PowerShell passes it on.
claude mcp add --scope user etincel-nonfiction-mcp '--' npx -y etincel serveReconnect, or start a new session, and the tools appear in the model’s tool list.
Or connect to its publisher’s address
Its publisher also runs it at https://etincel.ai/api/mcp: nothing to start on your machine, and this marketplace is not in the path.
claude mcp add --scope user --transport http etincel-nonfiction-mcp https://etincel.ai/api/mcpFree on mcprush, and it runs from its publisher’s own package: this marketplace is not in the path, so there is no key of ours to hold and no card to add.
What it writes
One config entry your client uses to start the process locally. A local server runs with your file system and your network, which is why it is priced without metering.
What you approve
20 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
Read from its source code. A server that builds its tool list when it starts can list more tools than this.
List every available style: premade emotional-tone presets, any voices the user has trained from their own samples, and (if a .etincelrc in the current repo defines one) the shared team style, id 'team'. Call this before drafting or revising non-fiction prose if the caller hasn't been told which…
No parameter schema on file.
Fetch the full drafting guide for one style (a preset id like 'direct-warm', the id of a trained voice, or 'team' for the shared style a .etincelrc in the current repo defines, if any). Returns prose instructions to follow while drafting or revising: sentence rhythm, tone dials, and (for trained…
No parameter schema on file.
Analyze one or more of the user's own writing samples (emails, posts, essays, memos: real finished text they wrote or approved) and persist a trained voice profile under that name. Measures sentence length and variance, paragraph rhythm, contraction rate, em-dash and semicolon habits, fragment…
No parameter schema on file.
Build a style profile from explicit dial values instead of writing samples: for when the user wants to hand-tune a voice (or doesn't have samples handy). 3 persona dials (formality, warmth, directness, 0-10) plus 8 mechanical dials (0-100, including entropy: how much AI-typical structural…
No parameter schema on file.
Rename a trained voice or adjust its dials in place, keeping its id (and default-style pointer) stable. Persona dials (formality, warmth, directness) always apply; the mechanical dials only take effect if the voice has no writing samples (was built from dials, not trained). A sample-trained voice…
No parameter schema on file.
Copy a style into a new trained voice under the given name, seeded with its persona dials and drafting guide. Two kinds of source: a premade preset (e.g. 'pr-review', 'linkedin-post'), or another installer's style published publicly on the hosted gallery, addressed as "handle/slug" (e.g.…
No parameter schema on file.
Permanently delete a trained voice profile by id. Does not affect premade presets.
No parameter schema on file.
Set which style (preset or trained voice) should be used by default for this user going forward, so it doesn't need to be re-specified every time.
No parameter schema on file.
Compare a piece of drafted text's measured sentence/paragraph rhythm and mechanics against a trained or custom voice's baseline (sentence length, rhythm variance, paragraph variance, contraction rate, em-dash use, fragment use, question use, structural entropy). Use this after drafting in a voice…
No parameter schema on file.
Compare a piece of drafted text against a trained voice's own recent training samples for two kinds of self-repetition: opening the same way ("you've opened this way in 4 of your last 6 pieces"), and reusing a characteristic phrase across several of them. This is about the writer's own recurring…
No parameter schema on file.
Deterministically scan a piece of non-fiction text for common AI-writing tells: banned hype vocabulary, chatbot fingerprints, and structural patterns (uniform paragraph length, stacked transitions, em-dash overuse, rule-of-three compulsion, and more), plus this installer's own banned/custom word…
No parameter schema on file.
A single model call that reads a draft and reports what a careful human editor would notice: unscored, untiered, and never a rewrite. Distinct from audit_text, which is deterministic and reproducible; this is neither, so weigh it as one more opinion, not a verdict, and never gate a decision on it…
No parameter schema on file.
Add a term to this installer's own banned-words list, checked by audit_text alongside the built-in AI-tell corpus. Without styleId, this adds to the global list, which applies to every style. With styleId, it only applies when auditing against that specific style, merged on top of the global list.…
No parameter schema on file.
Remove a term from this installer's banned-words list (global, or a specific style's list).
No parameter schema on file.
Add a term to this installer's own allowed-words list, so audit_text never flags it even if it matches the built-in corpus or a banned word: the 'corporate dictionary' case, e.g. an org's own acronyms or house terms. Without styleId, this adds to the global list. With styleId, it only applies to…
No parameter schema on file.
Remove a term from this installer's allowed-words list (global, or a specific style's list).
No parameter schema on file.
Show the banned-words and custom (allowed) words lists for a scope: the global list (default), or a specific style's list. For a style, also returns the effective merged list (that style's words plus the global ones): what audit_text actually applies when that style is selected.
No parameter schema on file.
Save free-text drafting rules layered on top of a style's voice: required elements ('always include a CTA'), audience notes, forbidden topics, format constraints, anything that isn't about sentence rhythm or tone. Overwrites whatever was saved for this scope. Without styleId, this sets the global…
No parameter schema on file.
Remove the saved instructions for a scope (global, or a specific style), leaving it empty.
No parameter schema on file.
Show the saved instructions for a scope: the global instructions (default), or a specific style's own. For a style, also returns the effective merged text (global plus that style's own) that get_style_guide already folds in automatically.
No parameter schema on file.
Free
$0 forever
- Every tool, no call limit
- No card, and mcprush charges nothing for it
- Source published under MIT
- Runs on your machine — nothing of it reaches our gateway
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install Etincel Nonfiction or to call it, at any volume.
Call allowance · this installenforced at the gateway
Monthly allowance, in calls
—
—
Alert at 80% · then the tool returns a normal MCP error
Used this month: —
ATrust score 95 / 100
Release 0.10.1 · scanned 14 Oct 2026
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
Threat score99
Client score95
Findings1 threat · 1 capability
Capabilitymoderate
Coveragesource
Verificationrepo
Surface digestf553c303274636054c30b45fa30bc702bb25bfb9a5a145441400c84b5df0490a
Score vectorthreat 99 → client 95
| Term | Level | What it prices | Points |
|---|---|---|---|
| capability-exposure | moderate | capability blast radius (moderate) — client exposure if the model is manipulated | −3 |
| verification-discount | repo | publisher verification (public source) — no provenance, but the source is public and inspectable | −1 |
| coverage-honesty | source | inspection depth (source) — how much of the target the scan could see | −0 |
score = clamp(round(threatScore − E_cap − E_ver − E_cov), 0, 100). No model, no opinion, no network call at scoring time: the same methodology version against the same bytes always produces this number, and every line above is a field of the report rather than a summary of it.
What the scan could actually read
A grade is only as meaningful as its coverage, so the scanner publishes its own depth before it publishes its result.
Tool surfaceread
Implementation sourceread
Package metadataread
Live transportnot available
Tools were statically extracted from the published source (20 recovered), not enumerated from a running server. Tool-poisoning, Unicode-smuggling, capability and toxic-flow analysis ran on this inferred surface, but a mis-parsed registration could be missed or mis-attributed, so tool-derived findings are capped below “confirmed”. To grade the real runtime surface, scan the running server: --command "npx -y <package>".
Capability — what it could do if the model were manipulated
Tags derived from each tool’s schema and the implementation, not from what the tool calls itself. moderate is the level these add up to.
| Tool | Capability tags | Why the tag was assigned |
|---|---|---|
| list_styles | no tags | |
| get_style_guide | untrusted-input | untrusted-input: keyword "fetch" |
| train_style | state-write | state-write: declares readOnlyHint: false |
| create_style_from_dials | state-write | state-write: declares readOnlyHint: false |
| update_style | state-write | state-write: declares readOnlyHint: false |
| fork_style | untrusted-inputexternal-sink | untrusted-input: keyword "fetch"; external-sink: declares readOnlyHint: false, openWorldHint: true |
| delete_style | state-write | state-write: declares readOnlyHint: false, destructiveHint: true |
| set_default_style | state-write | state-write: declares readOnlyHint: false |
| check_voice_match | no tags | |
| check_self_repetition | no tags | |
| audit_text | no tags | |
| second_read | no tags | |
| add_banned_word | state-write | state-write: declares readOnlyHint: false |
| remove_banned_word | state-write | state-write: declares readOnlyHint: false |
| add_custom_word | state-write | state-write: declares readOnlyHint: false |
| remove_custom_word | state-write | state-write: declares readOnlyHint: false |
| list_dictionary | no tags | |
| set_style_instructions | state-write | state-write: declares readOnlyHint: false |
| clear_style_instructions | state-write | state-write: declares readOnlyHint: false |
| get_style_instructions | no tags |
Toxic-flow graph
The lethal trifecta, checked as a graph rather than as a checklist: untrusted input, a sensitive source and an external sink have to meet before there is a path worth worrying about.
flow-1
Untrusted input can drive an external action even though no sensitive source is exposed.
Supply chain and provenance
Integrityfirst-seen
Surface digestf553c30327463605
Scanned2026-10-14
This is the first scan of this surface here, so there is nothing yet to compare it against.
Every result on this tab comes from one deterministic pass over the published package — offline, rule by rule, and auditable line by line above. Same methodology version, same bytes, same score.
Release history
Always latest — the install command names no version, so it installs the newest release when it runs; the current release on file is 0.10.1. Pin a release below and the command asks for exactly that one.
0.10.1
undated
latestNo release note was published with this version.
—
no reviews yet
Who can review
One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
Sign in to write one
Any signed-in account that does not publish Etincel Nonfiction can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
No reviews yet
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes a signed-in account that does not publish it, and nothing else.