
Slima
io.github.slima-ai由 GitHub 帳號 slima-ai 發布v0.1.13更新於 Oct 26, 2026
MCP Server for Slima - AI Writing IDE for Novel Authors with AI Beta Reader.
概覽
Slima MCP 將 AI 助理連接到專為小說作者設計的 AI 寫作 IDE Slima,可管理書籍、編輯稿件檔案並執行 AI 試讀回饋。
- 可以做什麼
- 建立、列出並檢視書籍,包含檔案結構與字數統計
- 讀取、搜尋並以語意檢索稿件檔案與章節
- 編輯、寫入、新增、附加與刪除檔案,每次寫入都會記入版本歷史
- 更新結構化檔案,例如人物關係圖、節拍板、時間軸、劇本與世界地圖
- 留下、列出並處理作者註記與編輯評論討論串
- 以指定讀者人設對章節執行 AI 試讀分析並取得報告
- 適用情境
- 適合在 Slima 中保存小說或劇本、希望助理直接在對話中起草、修改、檢索與評論稿件的作者。也適合取得針對章節的結構化讀者回饋。
- 執行需求
- 可使用託管的遠端端點並以 OAuth 登入,或透過 npx 執行本機 npm 套件 slima-mcp(需要 Node.js)。本機使用需在 SLIMA_API_TOKEN 提供 Slima API 權杖,或執行一次瀏覽器授權將憑證存到磁碟。需要連線至 Slima API 的網路存取。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Slima,將其新增到工作區。
- 為需要使用其工具的對話啟用該服務。
Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。
交給代理程式安裝
把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。
閱讀 https://sourceweft.com/mcp/io.github.slima-ai%2Fslima/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。其他 MCP 客戶端
把它新增到你客戶端的 mcpServers 設定中。
{
"mcpServers": {
"slima": {
"type": "http",
"url": "https://mcp.slima.ai/mcp"
}
}
}README
Slima MCP
MCP (Model Context Protocol) Server for Slima - AI Writing IDE for Novel Authors.
Connect your Slima books to any MCP-compatible AI tool - one server, all platforms.
Supported Platforms
Desktop Applications (Local MCP - stdio)
Web Applications (Remote MCP - HTTP)
MCP became the industry standard in December 2025 when Anthropic, OpenAI, and Block co-founded the Agentic AI Foundation under the Linux Foundation.
Features
Book Management
- Create new books
- List and view your books
- Get file/folder structure
- Track writing statistics
File Operations
- Read any file by path
- Edit specific text (search & replace)
- Write (replace) file content
- Create new files
- Delete files
- Append content to files
- Search across all files
AI Beta Reader
- Get feedback from virtual reader personas
- Analyze chapters with different reader perspectives
Quick Start
Pick the path that matches how you use AI:
- ⭐ Use claude.ai / ChatGPT in a web browser → Recommended: web connector (one-time setup, auto-updates forever)
- Use Claude Desktop / Cursor / Gemini CLI locally → Local install with
npx - Running in air-gapped / enterprise environments → Self-host
Recommended: claude.ai / ChatGPT Web (auto-updating)
If you chat with Claude or ChatGPT in a browser, this is the easiest and most future-proof option. Configure once and you will automatically get every Slima MCP update — no upgrade commands, no config edits.
MCP URL: https://mcp.slima.ai/mcp
claude.ai (Pro / Max / Team / Enterprise)
- Sign in at claude.ai.
- Open Settings → Connectors (or Integrations depending on your plan).
- Click Add custom connector.
- Fill in:
- Name:
Slima - URL:
https://mcp.slima.ai/mcp
- Name:
- Click Connect → you will be redirected to slima.ai to approve → return to claude.ai.
- The Slima tools icon appears in your chat input. You're done.
ChatGPT (Plus / Pro, Developer Mode)
- Sign in at chatgpt.com.
- Open Settings → Connectors → Advanced and toggle Developer Mode on (2025.10+).
- Back in Connectors, click Create → Custom MCP Server.
- Fill in:
- Name:
Slima - Server URL:
https://mcp.slima.ai/mcp - Authentication: OAuth
- Name:
- Click Create → approve the OAuth flow.
After setup, Slima features roll out automatically on your next conversation. No restarts, no reinstalls.
Local: Claude Desktop / Cursor / Gemini CLI
Use this if you want offline-friendly operation, faster startup, or you need to run MCP alongside other stdio servers.
Recommended config — pinned to the major version so you pick up new features automatically but never break on a 1.0 release:
Claude Desktop
Edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):
Get your token from Account settings → Authorized Apps or run npx slima-mcp@0 auth once to save it to disk.
Cursor
Gemini CLI
Or install it as a Gemini CLI extension (it asks for your API token once and keeps it in the system keychain):
Why
slima-mcp@0instead ofslima-mcp/slima-mcp@latest? Using@0pins to the current major version — npx fetches new0.x.yreleases automatically (so you get features + bug fixes), but when we ship1.0.0with breaking changes you won't silently pick it up without updating your config. We'll announce the@1switch in the release notes.⚠️ This only holds if you do not also have a global
slima-mcpinstall.npx pkg@<range>will happily satisfy the range from a package already on yourPATHand never contact the registry at all. Measured on 2026-09-09 with a global0.2.0present and0.3.0on npm:So a stale global install makes the npx form silently stop upgrading, while the server keeps telling you to upgrade. Remove it — see below.
Migrating from a global install
If you already installed globally with npm install -g slima-mcp:
⚠️ Check every place you may have installed it. A global install can exist per Node version
manager environment and per OS — on WSL setups it is common to have one under nvm and one
under Windows' AppData/Roaming/npm, at two different versions, with only one of them on the
PATH your MCP client actually uses.
Or, if you want to stay on a global install, remember to periodically run:
Otherwise your local client will drift from the MCP tools/schema the Slima backend exposes.
Self-host (advanced)
You can also clone this repo and deploy the Cloudflare Worker yourself. See wrangler.toml + npm run deploy:worker. Not required for normal use.
Remote MCP Security
The hosted Remote MCP Server at https://mcp.slima.ai/mcp uses:
- OAuth 2.0 + PKCE for authentication — no tokens copy-pasted.
- No secrets stored server-side — credentials never leave Slima's auth server.
- Session-based: OAuth tokens are stored in Cloudflare KV, scoped per session.
- Revocable anytime from Account settings → Authorized Apps: revoking an app takes effect on its next request.
Book Types: Writing Studio vs Script Studio
Slima books come in two flavors, distinguished by the book_type field. MCP behaves slightly differently for each:
For per-book details, ask your AI client to read the resource slima://books/{book_token}/schema — it returns a JSON spec of exactly which paths are writable/read-only for that specific book.
list_books tags every book with its studio icon (📝 / 📖) so you (and the AI) can tell them apart at a glance.
Available Tools
39 tools. R = read-only (never changes your book); W = changes something and says so in its description. Reads and writes are always separate tools.
Start here (teaching)
Book Management
File Operations
Every write is a commit in the book's version history, so it can be reviewed and reverted.
Structured Files (one field at a time)
Notes and Comments
AI Beta Reader
Teams
Usage Examples
Once configured, you can ask your AI:
Book & Content:
- "Create a new book called 'My Novel'"
- "List my books in Slima"
- "Show me the structure of my novel"
- "Read chapter 3 of my book"
- "What are my writing stats?"
File Operations:
- "Read the character profile for my protagonist"
- "Edit chapter 1 and change 'John' to 'James'"
- "Create a new file called worldbuilding.md with notes about the magic system"
- "Search for all mentions of 'blue eyes' in my book"
- "Append this new paragraph to chapter 5"
AI Feedback:
- "Get feedback on chapter 5 from a young reader perspective"
- "Analyze my opening scene from a critic's perspective"
CLI Commands
Token is stored in ~/.slima/credentials.json with secure permissions.
Environment Variables
*Not required if you used slima-mcp auth
Development
Local CLI Development
Cloudflare Worker Development
Project Structure
Security
- API tokens are stored locally and never shared
- All communication with Slima API uses HTTPS
- Tokens can be revoked anytime from Slima settings
Release & Deployment
npm (Automatic)
Merge to main with a version bump in package.json triggers automatic npm publish via GitHub Actions.
Cloudflare Worker (Manual)
Worker deployment is separate from npm, and nothing triggers it automatically.
Publishing to npm does NOT update mcp.slima.ai. Remote clients (claude.ai /
ChatGPT connectors) talk to the Worker, so they keep running the old tool set
until someone runs this by hand:
Deploy test first and check curl https://test-mcp.slima.ai/ | jq .version
before doing prod; the same one-liner against mcp.slima.ai is how you tell
whether the Worker is behind npm at all.
2026-09-09: the Worker sat on 0.2.0 for four and a half months — it was last deployed the same day npm 0.2.0 shipped, so every change after that reached npm users and no connector users. There is no alarm for this; the version endpoint is the only signal.
There used to be a
deploy:worker:previewscript pointing at an[env.preview]block. It was removed on 2026-09-09: its KV id was the literal placeholder string,staging-api.slima.aidoes not resolve, and — worst — it defined noroutes.routesis an inheritable key in wrangler, so that command would have inherited the top-levelmcp.slima.aicustom domain and pointed production's hostname at the preview Worker. The real staging environment is[env.test].
MCP Registry (Manual)
To publish/update the server listing on the MCP Registry:
Requires mcpName in package.json and server.json in repo root.
Operational Notes
Debugging Worker OAuth
When troubleshooting claude.ai or ChatGPT connector issues:
All OAuth endpoints log key parameters (client_id, redirect_uri, token prefix, etc.) to help trace the flow.
Worker OAuth Flow (claude.ai / ChatGPT)
Known Constraints
- Worker Bearer token validation accepts all non-empty tokens (not just
slima_prefix) to support OAuth-issued tokens. Rails API performs actual validation. getTokenFromSession()checks Authorization header first, then falls back to cookie session.- MCP Inspector (
npx @modelcontextprotocol/inspector) is useful for testing the full OAuth flow independently.
License
MIT
Links
來源:README.md,提交 f8e71b9
工具
0版本歷史
1- v0.1.13最新Sep 16, 2026
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