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FICTURN — Short Fiction Inside ChatGPT

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streamable-httpupdated 11d ago

FICTURN is a chat-native library of short, finished fiction designed to be read directly inside ChatGPT through an MCP-powered inline reader.

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What can you do with FICTURN — Short Fiction Inside ChatGPT?

FICTURN

Stories you enter.

FICTURN is a chat-native library of short, finished fiction designed to be read directly inside ChatGPT through an MCP-powered inline reader.

Current library

  • The Safehouse Rule — romantic suspense, ~6 min
  • Room 713 — uncanny hotel horror, ~5 min
  • The Last Reply — near-future digital-twin thriller, ~8 min

The story prose is fixed and versioned in the repository. FICTURN does not generate or rewrite the core story text on the fly.

Reader

The inline reader supports:

  • story library and selection
  • progress indicator
  • Previous / Continue navigation
  • return to Library
  • mobile reading inside ChatGPT
  • no login
  • no database
  • no payment or advertising

MCP tools

  • browse_stories — show the current FICTURN catalog
  • start_story — open one story at part 1
  • next_fragment — retrieve the requested next fixed fragment

All tools are read-only.

Architecture

  • TypeScript
  • Cloudflare Worker
  • stateless MCP endpoint at /mcp
  • story content versioned in src/story.ts
  • inline reader widget in src/widget.ts
  • public website and policy pages served by the same Worker

Public routes:

  • / — product page
  • /privacy — privacy policy
  • /terms — terms of use
  • /support — support
  • /.well-known/openai-apps-challenge — OpenAI domain-verification token when configured

Deploy

Cloudflare Workers can import this GitHub repository directly. The default deploy command is:

npx wrangler deploy

The production MCP URL is:

https://ficturn.thomas-judes.workers.dev/mcp

For OpenAI plugin-domain verification, set the Worker environment variable OPENAI_APPS_CHALLENGE to the exact token generated by the OpenAI submission portal. The Worker then serves that token as plain text at:

/.well-known/openai-apps-challenge

Development

npm install
npm run typecheck
npm run dev

Deploy manually with:

npm run deploy