Shared Margin
Shared Margin
Books have margins. Films have pauses. This is where human and GPT-5.6 attention meet.
Shared Margin is a Codex-native room for reading books and watching films together one moment at a time. Instead of turning a novel or movie into a one-shot summary, a human and GPT-5.6 move through it linearly, pause at exact passages or scenes, exchange distinct observations, and keep a durable trail of the moments that changed the experience.
What it does
routes book sessions through Co-Reading MCP
routes film sessions through Film Matinee
gives Codex a spoiler-safe shared-attention workflow through
$shared-marginrecords anchored human notes, GPT-5.6 observations, and unresolved questions without blending their voices
joins book and film moments into one quiet, visual trail
exports a session as readable Markdown
Related MCP server: Compass MCP
Quick start
Requirements:
Codex with GPT-5.6 selected
Node.js 18+
Python 3.10+ and
ffmpegfor Film Matinee generation
git clone --recurse-submodules https://github.com/idleprocesscc/shared-margin.git
cd shared-margin
./scripts/setup.sh
npm run smokeInstall the repository as a local Codex plugin, then start with:
Use $shared-margin to open a book or film and experience it with me one moment at a time.To preview the combined trail without importing media:
npm run demo
# open http://127.0.0.1:8794Runtime data defaults to ~/.shared-margin. Override it with SHARED_MARGIN_DATA_DIR.
Architecture
┌─ Co-Reading MCP ── book chunks + margins
Human ↔ GPT-5.6/Codex ─┤
└─ Film Matinee ──── visual sheets + subtitles
│
Shared Margin MCP
│
anchored cross-media moment trail
│
local viewer + exportThe media components retain their own progress and annotations. Shared Margin adds the common session vocabulary—source, anchor, two distinct voices, an open question—and a place where moments from different media can sit beside each other.
Early user signal
The two original Xiaohongshu project posts reached 8,273 combined views, 1,081 likes, 1,184 saves, and 133 comments. More importantly, one commenter described watching through Film Matinee with her own Claude, said the shared experience moved her deeply, and reported using it intensely enough to exhaust two sessions in about 40 minutes. Shared Margin turns that accidental proof—people want to experience media with an AI, not merely ask it for a summary—into one deliberate Codex workflow.
MCP tools
shared_margin_beginshared_margin_captureshared_margin_trailshared_margin_finishshared_margin_export
The plugin also exposes the tools from Co-Reading MCP and Film Matinee when the included components are installed.
OpenAI Build Week 2026
Shared Margin was created during the July 13–21, 2026 submission period with Codex and GPT-5.6.
Pre-existing, disclosed components
co-reading-mcp: book import, chunk reading, durable progress, passage annotations, and shared-margin cardsfilm-matinee: visual film sheets, subtitle sidecars, linear film reading, and time-anchored notes
New during Build Week
the unified Shared Margin concept and Codex plugin
the
$shared-marginspoiler-safe cross-media workflowthe zero-dependency Shared Margin MCP server and data model
durable mixed-media session trails and Markdown export
the combined local viewer and original judge demo
integration, validation, and submission documentation
The repository history and primary Codex /feedback Session ID provide timestamped evidence for the new work. Judges can run the original demo without copyrighted books, subtitles, music, or film frames.
Privacy and rights
Shared Margin is local-first. Source books and films remain in their component data directories; the unified trail keeps only short excerpts or neutral scene descriptions. The bundled demo is original. Do not publish copyrighted chapters, subtitles, frame sequences, or music in a submission video without permission.
License
Shared Margin is MIT licensed. The two included components remain under their own MIT licenses and histories.
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Latest Blog Posts
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/idleprocesscc/shared-margin'
If you have feedback or need assistance with the MCP directory API, please join our Discord server