MCP.Market

Proseify MCP server

online · 100% uptime
by Dionisselami·io.github.Dionisselami/proseify-mcp·v1.0.0

MCP book-writing server: 81 classics, genre recipes, drafting pipelines.

A97/100grade A
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Safety scan
A97/100

full report

Adoption
Growing

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If you have run it, two minutes of your experience saves the next person an afternoon.

Proseify tools

Tool list not cached yet. `describe` through the gateway fetches it live.

Public scan report

scanner v0.1.10 · 2026-10-03 · same rubric, same numbers if you re-run it

no findings
  • –Code scanremote-only server, no package to scann/a
  • Live reliabilityremote reachable in 1130ms (auth required)20/20
  • –Tool poisoningtools not inspected (endpoint requires auth); not countedn/a
  • Auth qualityOAuth resource metadata advertised on 40115/15
  • Maintenancelast push 10 days ago15/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 97/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Proseify compares

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

Safety score
97/100
higher than 98% of 48,255 servers
Uptime
100%
of our recent checks; the typical remote server answers 100%
Response time
191 ms
faster than 65% of 30,031 servers

Install Proseify in Claude Code, Cursor or VS Code

claude mcp add --transport http proseify-mcp https://mcp.proseify.xyz/mcp
Add to Cursor

What the publisher says

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

Proseify — the book-writing engine for AI agents

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

…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.

Shortened. The full README is on GitHub.

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

Proseify: common questions

Is Proseify MCP server safe?
Yes, by our scan: it is graded A (97/100). Read the Proseify safety report
How do I install Proseify?
It runs remotely at mcp.proseify.xyz. 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 Proseify need an API key?
No key to paste: it signs you in with OAuth when your client connects.
Is Proseify maintained?
The last commit was 42 days ago (2026-09-23). The latest release is v1.0.0.
Is Proseify up?
100% of our last 28 checks got an answer. We check remote servers about four times a day.
How does Proseify compare with other MCP servers?
safety score 97/100 (higher than 98% of 48,255 servers); uptime 100% (of our recent checks; the typical remote server answers 100%); response time 191 ms (faster than 65% of 30,031 servers). Full comparison.