Proseify — the book-writing engine for AI agents
MCP serverEverything elseMCP book-writing server: 81 classics, genre recipes, drafting pipelines.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use Proseify — the book-writing engine for AI agents
From the project's README
As published by Dionisselami/proseify-mcp in README.md.
Proseify is a hosted MCP (Model Context Protocol) server that turns Claude Code, Codex, Cursor, or any MCP client into a disciplined book-writing machine — grounded in real literature instead of generic model defaults.
Give it a one-line premise. It picks the right genre recipe, pulls model passages from a curated public-domain library, plans the outline, drafts chapter by chapter, and scores its own work. You get a manuscript you can actually edit, not 40 pages of "it was a dark and stormy night."
🔗 Website & key issuance: https://proseify.xyz
Why genre-before-prose matters
Most "AI writes a book" tools generate immediately. The output reads the same way regardless of what you asked for — the same sentence lengths, the same dialogue rhythm, the same endings.
Proseify flips the order:
premise → genre recipe → corpus passages → outline → chapter drafts → scored revision
The genre recipe is derived from the actual tradition — pacing beats, dialogue ratio, sentence-length profile, how endings are handled. The agent reads it before touching prose. That single ordering decision is the difference between a horror book that reads like the gothic tradition and a horror book that reads like ChatGPT.
Tools exposed
| Tool | What it does |
|---|---|
list_genres | 11 genres across 81 books (theatre, horror, romance, adventure, literary, and more) |
search_corpus | Full-text search across all chapters, with FTS5 syntax (quotes, AND/OR/NOT, wildcards) |
get_genre_recipe | Pacing beats, dialogue ratio, and stylistic anchors derived from the tradition |
get_style_references | Model passages from books matching a genre — the register you're aiming for |
plan_book | Full chapter-by-chapter outline from a one-line premise |
write_book | The one-shot flow: plan → draft → evaluate, all in one session |
evaluate_book | Scores a drafted book against genre benchmarks so weak chapters get revised |
…plus supporting tools for chapter retrieval and corpus metadata.
Setup (Claude Code, Codex, Cursor, and friends)
1. Get a key
Sign in at https://proseify.xyz (Google / GitHub / magic link), pick a plan. Monthly from $9, or one-time Founding Lifetime. Your key is issued the moment the purchase clears.
2. Connect the MCP server
{
"mcpServers": {
"proseify": {
"type": "http",
"url": "https://mcp.proseify.xyz/mcp",
"headers": { "Authorization": "Bearer YOUR_KEY" }
}
}
}
(Use the client's native MCP config format for your agent — see the Agent SDK page for a filled-in block.)
3. Install the skill
npx skills add https://proseify.xyz --skill anti-prose-slop -y
The anti-prose-slop skill gives the agent the writing workflow — genre
recipe first, corpus grounding, chapter discipline, and a per-chapter
anti-slop editing pass — instead of just raw tool access.
4. Write
Tell the agent a premise:
"I want a gothic horror novel about a lighthouse keeper finding a body that shouldn't exist. 32 chapters. Budget 50,000 words."
The agent picks the right recipe, searches the corpus for register, plans, drafts, scores, and revises. You edit what it returns.
The corpus
81 books / 11 genres, drawn from Project Gutenberg and similar public-domain collections — all verified against their original headers, so there is no copyright ambiguity anywhere in the library. Commercial use of output built on it is safe.
A partial list: works from Austen, Stevenson, Hugo,conrad, Verne, the Brontës, Shelley, gothic masters, and more — selected, grouped by genre, and indexed for search.
Why "anti-prose-slop"?
Because the failure mode of AI-written prose isn't bad grammar — models are
word-perfect. It's sameness: "seemed to", "began to", stacked adverbs,
repeated sentence constructions, filter words, dialogue-as-exposition,
chapter openings that always start with weather. The skill that ships with
Proseify has a concrete per-chapter checklist against each of these, and
evaluate_book scores the result against genre norms so the agent can
self-revise rather than ship its first pass.
Pricing
| Plan | Price | Requests |
|---|---|---|
| Starter | $9/mo | 120 req/min |
| Pro | $19/mo | 400 req/min |
| Studio | $49/mo | 9999 req/min |
| Founding Lifetime | one-time | 400 req/min, all genres |
Cancel any time from your account (opens our payment provider's customer portal, signed in as you). See the refund policy for the 14-day money-back window.
License
MIT — see LICENSE. The public-domain corpus texts themselves are public domain (mostly Project Gutenberg-sourced).
Links
- Site / sign-up: https://proseify.xyz
- Agent SDK (filled-in config for your key): https://proseify.xyz/agent
- Terms · Privacy · Refund policy — footer of every page on the site
- Support: support@proseify.xyz
- Published in the official MCP registry:
io.github.Dionisselami/proseify-mcp
Advanced
- Delivery
- proseify-mcp MCP server → your ahel gateway (mcp.ahel.ai) → every connected AI client.
- Catalog kind
- mcp-server
- Gateway key
io-github-dionisselami-proseify-mcp- Source
- github.com/Dionisselami/proseify-mcp
- Hosted endpoint
https://mcp.proseify.xyz/mcp