Proseify

面向AI代理的书籍写作流水线：对不断扩充的公共领域经典文库进行全文搜索，从文学传统中提炼出按体裁划分的风格配方（戏剧、恐怖、浪漫、冒险等），以及逐章起草流程——规划大纲、起草每一章、评估并打磨成书。托管远程服务器，密钥认证；配套开放代理技能anti-prose-slop。

GitHub试用此 MCP赞助

托管 MCP 服务器

npx add-mcp 'https://mcp.proseify.xyz/mcp'

可安装到 Claude Code、Codex、Cursor 等客户端

文档

Proseify — the book-writing engine for AI agents

Proseify block mark

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, growing library of 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

a growing library of 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).