Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Computer or cloud
Scrivener MCP
Overview
Description from the maker (original English)
MCP server for Scrivener: read, write, analyze, and search your manuscripts with AI assistants.
PopNx MCP’s three pillars
These three are never merged into one score: opinions, measurements and popularity are different things.
- User voiceiNo reviews yetReviews open together with accounts in a later step
- Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
- UsageiVery new↓ 219/wk · ★ –
What you can do with it
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
- Connection: Runs on your computer
- Transport: stdio
- Category: Search & AI memory
Install
Pick the AI app you use, then copy the settings.
Before you install
- Basic checks: 1 of 1 passed
- Runs on your computer with your user’s permissions (files, network, apps).
- The registry lists no key to fill in.
You need
- npmNode.js installed (for the npx command)
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"scrivener": {
"command": "npx",
"args": [
"-y",
"scrivener-mcp"
]
}
}
}Run this in your terminal
claude mcp add scrivener -- npx -y scrivener-mcpOr copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"scrivener": {
"command": "npx",
"args": [
"-y",
"scrivener-mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"scrivener": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"scrivener-mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
What it can do
Runs on your computer; the tool list appears in your AI app after you install it.
Basic checksi
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 9, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account writerslogic, which owns the repo
- … Not checked yet
Still maintained
We have not read this repo from GitHub yet
- … Not checked yet
Has a licence
We have not read this repo from GitHub yet
- – Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
- – Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
- … Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints
Compared with others in Search & AI memoryi
- More stars than 0% of the other 5727 servers in this category
- Published to the registry more recently than 25% of the other 5727 servers in this category
- Basic checks equal to or better than 100% of the other 5727 servers in this category
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
Common questions
Is Scrivener MCP safe?
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
What keys or codes does it need?
The registry does not list a required key, though some servers ask you to sign in on first use.
Does it run on my computer or in the cloud?
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
Is it still maintained?
The GitHub repo last changed –, and the latest version (0.12.0) reached the registry 4 months ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
What can I use instead?
In the same category: Context7, Codebase Memory, Exa
Alternatives
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Codebase Memory
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Runs on your computer
Exa
Connect AI agents to Exa for web search, content fetching, and multi-step research.
Runs in the cloud✓ exa.ai
README from the maker
Open the README
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
Scrivener MCP
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.
Install
Mac app: Draftbridge for Scrivener, $4.99
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.
Free: Claude Desktop extension or command line
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-mcpRestart Claude Desktop and it's ready. Other clients need one more step:
npx scrivener-setupThis 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-mcpor 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-packnpm install -g writerslogic/scrivener-mcp#v0.12.0 # a specific release
Homebrew (macOS)
brew install writerslogic/tap/scrivener-mcpDocker
docker build --platform linux/amd64 -t scrivener-mcp https://github.com/writerslogic/scrivener-mcp.gitdocker 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~/.envor~/.scrivener-mcp/.env~/.anthropic/key,~/.openai/key,~/.openrouter/key- macOS Keychain (
anthropic-api-key/openai-api-key/openrouter-api-key)
security add-generic-password -s anthropic-api-key -a anthropic -w sk-ant-your-key-here # Keychainexport ANTHROPIC_API_KEY="sk-ant-..." # or export it directly
What You Can Do
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.
All Tools
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
Only the beginning is shown; read the rest in the repo