Bindery

Markdown book authoring toolkit: a VS Code extension for typography formatting and multi-format export, paired with an MCP server for full-text search and AI assistant integration.

Origin

This project started as a personal writing tool, born out of frustration with the copy-paste loop that most AI-assisted writing ends up as.

It started with Word and ChatGPT: writing a chapter, copying it into the browser, getting feedback, pasting it back. Versioning was an issue and keeping the ChatGPT project up to date with recent .docx files was a lot of work. Moving to VS Code and Markdown files seemed like the natural next step: plain text, version control, and the ability to plug in an MCP server so an agent like Codex could read the book directly.

In practice though, I still fell back to copy-pasting for feedback and only really used the tooling for typography formatting. Most VS Code extensions are built for coding: short iterations where the code is the truth, rather than the longer-running, chat-based sessions you get in web tools. That frustration is what pushed the VS Code extension into existence. At minimum, the formatting and exporting should just work without any ceremony.

The bigger shift came with Claude Cowork, which combines the session memory of a long-running agent with direct file access. That made the MCP server genuinely useful: the agent could navigate chapters, search for context, and keep track of the story across a session without being handed everything manually. The extension and MCP server now support both workflows: VS Code agents (Copilot, Codex, Claude for VS Code) and standalone Claude Desktop / Cowork.

Components

vscode-ext/ — VS Code Extension

The Bindery extension provides:

• Typography formatting — curly quotes, em-dashes, ellipses, smart apostrophes
• Chapter merge & export — Markdown, DOCX, EPUB, PDF output via Pandoc + LibreOffice
• Dialect conversion — US→UK spelling with extensible substitution rules (.bindery/translations.json)
• Multi-language support — configurable per-language chapter labelling and folder structure
• Workspace config — .bindery/settings.json for project-level settings
• MCP integration — registers Bindery tools for GitHub Copilot Chat and writes .vscode/mcp.json for Claude / Codex

Install from the VS Code Marketplace or:

cd vscode-ext
npm install
npm run compile
npx @vscode/vsce package

See vscode-ext/README.md for full documentation.

mcp-ts/ — MCP Server (Node.js / TypeScript)

A Model Context Protocol server that exposes your book project to AI assistants. Pure Node.js.

• BM25 full-text search — fast lexical search across all chapters and notes via MiniSearch
• Optional semantic search — set BINDERY_OLLAMA_URL for semantic reranking, or enable a full semantic index for precomputed embedding search
• Version tracking — get_review_text shows uncommitted changes as a structured diff; git_snapshot saves progress as a git commit scoped to story/notes/arc folders. Git is auto-initialized during workspace setup if available
• Multi-book support — configure one or more books via --book Name=path CLI args or BINDERY_BOOKS env var; every tool call specifies which book to use by name (agents never see raw paths)
• Container/mount aware — agents in sandboxed environments (e.g. Cowork) can call identify_book with their working directory to discover their book name, even when mount paths differ from the configured paths

See mcpb/README.md for full documentation and tool list.

mcpb/ — Claude Desktop Extension

Packages the MCP server as a .mcpb file for one-click installation in Claude Desktop or Cowork.

Download the latest release from Releases — no build step needed.

Quick Start

VS Code (Copilot / Claude / Codex)

1. Install the Bindery extension from the Marketplace
2. Open your book folder in VS Code
3. Run Bindery: Initialize Workspace to create .bindery/settings.json (also initializes a git repo if not present)
4. Run Bindery: Register MCP Server to create .vscode/mcp.json (primarily for Claude/Codex discovery; not needed for GitHub Copilot Chat because the extension registers the tools automatically)
5. Tools are now available in GitHub Copilot Chat, Claude for VS Code, and Codex

Claude Desktop / Cowork

1. Download bindery-mcp-*.mcpb from the latest release
2. Open Claude Desktop → Settings → Extensions → Install from file
3. Fill in the Books field with semicolon-separated Name=path pairs: ScaryBook=C:\Users\My\Projects\ScaryBook;MyNovel=D:\Writing\MyNovel
4. Optionally set the Ollama URL if you want semantic reranking
5. Optionally enable the semantic index and choose a default search mode if you want full_semantic search with rebuild warnings when the embedding index becomes stale.
   • Note: full embedding can be a heavy operation, depending on your hardware, when running a local Ollama instance.
6. Tools are now available — the agent calls list_books to discover book names

Formatting & Export only (no MCP)

The VS Code extension works standalone — no server setup needed for typography formatting and export.

Project Structure

├── vscode-ext/          VS Code extension (TypeScript)
│   ├── src/             Extension source
│   ├── package.json     Extension manifest
│   └── README.md        Extension docs
├── mcp-ts/              MCP server (Node.js / TypeScript)
│   ├── src/             Server source
│   └── package.json     Package manifest
├── mcpb/                Claude Desktop extension package (.mcpb)
│   ├── manifest.json    Extension metadata and tool list
│   └── server/          Populated by CI (mcp-ts build output)
└── LICENSE              MIT

Prerequisites

• VS Code 1.85+
• Git (recommended) — needed for version tracking, get_review_text, and git_snapshot. Auto-initialized during workspace setup.
  • Install via package manager or from https://git-scm.com
• Pandoc (optional) — needed for DOCX/EPUB/PDF export.
  • Install via package manager or from https://pandoc.org/installing.html
• LibreOffice (optional) — needed for PDF export only.
  • Install via package manager or from https://www.libreoffice.org
• Ollama (optional) — needed for semantic reranking and search.
  • Install via package manager or from https://ollama.com/

Privacy

Bindery stays within your workspace, only if the optional Ollama URL is filled for the MCP server will texts be sent to Ollama for embedding / semantic search. The full privacy policy can be viewed at https://evdboom.nl/projects/bindery/privacy

License

MIT — see LICENSE.

Contributing — template source of truth

The AI instruction file templates are maintained in one place only:

mcp-ts/src/templates.ts   ← SINGLE SOURCE OF TRUTH

vscode-ext/src/ai-setup-templates.ts is a generated copy and must never be edited directly. CI syncs it automatically before every publish step.

Syncing locally

After changing mcp-ts/src/templates.ts, copy it to the VS Code extension:

cp mcp-ts/src/templates.ts vscode-ext/src/ai-setup-templates.ts

Running tests

# MCP server (includes template contract tests + copy-parity check)
cd mcp-ts && npm test

# VS Code extension
cd vscode-ext && npm test

The copy-parity test (mcp-ts/test/templates-parity.test.ts) skips gracefully when ai-setup-templates.ts is absent (normal in fresh checkouts) and fails when it exists but differs from the source — this is what CI catches.

What CI does

The CI workflow (.github/workflows/ci.yml) runs on every push and pull request:

1. Builds and tests the MCP server.
2. Copies mcp-ts/src/templates.ts → vscode-ext/src/ai-setup-templates.ts.
3. Verifies the copy is identical to the source (fails with a clear remediation message if not).
4. Builds and tests the VS Code extension.

If CI fails on the sync check, fix it by running the copy command above and committing the result.