Context7
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제작자가 쓴 설명(영어 원문)
MCP server for Scrivener: read, write, analyze, and search your manuscripts with AI assistants.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"scrivener": {
"command": "npx",
"args": [
"-y",
"scrivener-mcp"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add scrivener -- npx -y scrivener-mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"scrivener": {
"command": "npx",
"args": [
"-y",
"scrivener-mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"scrivener": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"scrivener-mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 8일 점검
레지스트리 이름이 GitHub 계정 writerslogic 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.12.0)은 3개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
같은 카테고리에는: Context7, Codebase Memory, Exa
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Up-to-date docs for AI agents
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
MCP server for Scrivener: connect your novels, screenplays, and manuscripts to Claude, ChatGPT, and any AI assistant, with document management, writing analysis, content enhancement, offline semantic search, and character/plot tracking.
Start with the safe first session, then use editorial review and workflows, export presets, Content Credentials, or the Windows guide. Compatibility evidence records actual coverage and limits.
Install · Mac App · What You Can Do · All Tools · Guides · Contributing
Scrivener MCP lets your AI assistant open, read, edit, analyze, and search your Scrivener projects directly. No exporting, no copy-pasting text back and forth. Tell it which project to open and start working.
You: Open my novel and analyze the pacing in Chapter 12.
Claude: _Opens the .scriv project, reads Chapter 12, runs pacing analysis._ The first half
moves well, but the middle stalls — a three-page internal monologue starting at paragraph 14 kills
the momentum you built in the confrontation scene. Consider cutting it to a paragraph and moving
the backstory to Chapter 8.
Works with Claude Desktop, Claude Code, VS Code (Copilot/Continue), Cursor, and any MCP-compatible client. Reads Scrivener 3 projects on the supported platforms. Listed on the official MCP Registry as io.github.writerslogic/scrivener-mcp.
Not a terminal person? [Draftbridge for Scrivener](https://buy.stripe.com/14A8wHbm64Y0dR8fFdc7u01) is the ready-made Mac app. It finds your AI apps — Claude Desktop, BoltAI, Cursor, VS Code, LM Studio, Raycast, Claude Code — connects Scrivener MCP to each with one click, shows your projects, and repairs the connection after an app update. No Terminal, no Node.js, no settings files. One-time $4.99, up to 3 Macs, signed and notarized by Apple.
The server, setup tool, and Claude Desktop extension here stay free and open source. The app is closed source; the fee buys the notarized build and supports development. See the Mac install guide and FAQ. Report app problems with the mac-app label.
Prefer to do it yourself? The .mcpb extension (Claude Desktop only) and the terminal setup below do the same job for free.
From a terminal:
npm install -g scrivener-mcp
Restart Claude Desktop and it's ready. Other clients need one more step:
npx scrivener-setup
This finds Claude Desktop, Claude Code, Cursor, VS Code, LM Studio, BoltAI, and Raycast and configures them for you, then confirms the server starts. No Node.js on your Mac? See the Mac install guide. To set up Claude Code by hand instead: claude mcp add -s user scrivener -- npx scrivener-mcp, then restart it (or run /mcp).
Other ways to install
npx, no install
npx scrivener-mcp
or add it to Claude Desktop's config directly:
{
"mcpServers": { "scrivener": { "command": "npx", "args": ["scrivener-mcp"] } } }
From GitHub
npm install -g writerslogic/scrivener-mcp # latest main; requires pinned Rust/wasm-pack
npm install -g writerslogic/scrivener-mcp#v0.12.0 # a specific release
Homebrew (macOS)
brew install writerslogic/tap/scrivener-mcp
Docker
docker build --platform linux/amd64 -t scrivener-mcp https://github.com/writerslogic/scrivener-mcp.git
docker run --platform linux/amd64 -i --rm -v /path/to/your/projects:/projects scrivener-mcp
The container uses Linux x64 with glibc because the pinned Narrative Lens 0.2.0 package has no Linux ARM64 or musl binary. Linux ARM64 and musl hosts can use this Docker configuration; ARM hosts need Docker's amd64 emulation. The image runs as the non-root node user; mounted project directories must permit that user to read and write.
Any other MCP client: point it at npx scrivener-mcp as a stdio server.
Optional: AI-powered features
Document management, deterministic analysis, local passage search, and project memory work with no API key. Provider-assisted interpretation, generation and enhancement use Anthropic, OpenAI or OpenRouter. Set more than one and Claude handles chat by default; override with AI_PROVIDER=openai or AI_PROVIDER=openrouter (OpenRouter defaults to anthropic/claude-sonnet-4.6, change it with OPENROUTER_MODEL). If the active provider fails on an account-level error — bad key, no credit, an outage — the server retries on the next one you've configured. If your MCP client supports sampling, chat-based features can run through the client's own model on legacy MCP connections, no separate key needed. MCP 2026-07-28 connections currently use configured providers for AI features; modern multi-round sampling is not implemented. Passage retrieval runs locally through Holographic Memory 0.6.4; interpretation and explanations are optional provider features.
Keys are picked up automatically from:
ANTHROPIC_API_KEY / OPENAI_API_KEY / OPENROUTER_API_KEY~/.env or ~/.scrivener-mcp/.env~/.anthropic/key, ~/.openai/key, ~/.openrouter/keyanthropic-api-key / openai-api-key / openrouter-api-key)security add-generic-password -s anthropic-api-key -a anthropic -w sk-ant-your-key-here # Keychain
export ANTHROPIC_API_KEY="sk-ant-..." # or export it directly
For manuscript operations, open a project first. The server has no link to the Scrivener app
itself and can't see what's open there. Say _"Open my Scrivener project at
~/Documents/My Novel.scriv"_, or _"Discover my Scrivener projects"_ if you don't know the path.
On macOS, _"Use the project I have open in Scrivener"_ works too (the first time, macOS will ask
permission to control Scrivener). Do this once per conversation. If the project is also open and
unsaved in Scrivener itself, save or close it there first, or the two can write over each other.
Manage your manuscript. Read chapters, create scenes, reorganize the binder, update synopses — all through conversation. _"Create a new scene called 'The Reveal' after Chapter 5, and move the old epilogue to the trash."_
Analyze your writing. Readability, pacing, style, dialogue quality, emotional arc — grounded in your actual prose, not generic advice. Ask whether a chapter's pacing is off and get specifics: which paragraphs stall, how the scene compares to your other chapters, filter-word density against your own average.
Enhance your prose. Targeted edits: cut filter words, strengthen verbs, vary sentence structure, add sensory detail, turn telling into showing, tighten dialogue, fix pacing.
Track characters and plot. Character profiles, plot threads, and style guides persist with the project across sessions. Save a profile for a character once; a consistency check months later catches contradictions — dialogue that doesn't sound like them, a limp that disappears for a chapter.
Search by meaning. Warm 0.6.4 combines native BM25 with local embeddings and optional cross-encoder reranking. Configure local ONNX models for general semantic search; the default encoder covers a disclosed English story-concept vocabulary. Results include exact passages, locations and saved revisions; changed passages update incrementally. No embedding provider is required. See local search configuration.
Track relationships. Record and query how characters, locations, themes, and plot threads connect. Relationships persist in the project's local SQLite state. Discovery proposes unrecorded character/location pairs using saved-text co-occurrence with source revisions.
Compile and export. Assemble chapters into one manuscript with your own formatting and structure preserved. Export inline as Markdown, HTML, or JSON, or write a DOCX, EPUB, or PDF to disk.
Sign and validate exports. Activate credentials with use_skill({"name":"credentials"}), then call c2pa_capabilities to inspect the installed SDK. Export a PDF with export_project, sign it to a new embedded output with sign_content_credentials, and check that output with validate_content_credentials. Credential operations run locally without an open project and use administrator-configured signing material. They do not establish human authorship or formal C2PA conformance. See Content Credentials for setup, mode coverage and limits.
82 tools organized by workflow. To keep token usage low, tools load progressively — project tools at startup, document and search tools once a project is open, the rest on demand. Set SCRIVENER_MCP_EAGER_TOOLS=1 to load everything up front.
Project -- open, browse, manage
| Tool | What it does |
|---|
| open_project | Open a .scriv project (accepts .scriv folders or .scrivx files
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요