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Short, finished fiction to discover by mood, genre or reading time inside ChatGPT.
About
Short, finished fiction to discover by mood, genre or reading time inside ChatGPT.
Remote endpoints: streamable-http: https://ficturn.thomas-judes.workers.dev/mcp
Security Report
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
3 tools verified · Open access · No issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Found in Source Code
Found by scanning the linked source code. This listing connects to a hosted endpoint, so none of this runs on your machine: it describes what the server software does where it is hosted.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-thomasjudes-del-ficturn": {
"url": "https://ficturn.thomas-judes.workers.dev/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
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 catalogstart_story— open one story at part 1next_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
Reviews
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