
Slima
io.github.slima-aiPublished by GitHub account slima-aiv0.1.13Updated Oct 26, 2026
MCP Server for Slima - AI Writing IDE for Novel Authors with AI Beta Reader.
Overview
Slima MCP connects an AI assistant to Slima, an AI writing IDE for novelists, so it can manage books, edit manuscript files and run AI beta-reader feedback.
- What you can do
- Create, list and inspect books, including file structure and word-count statistics
- Read, search and semantically search manuscript files and chapters
- Edit, write, create, append to and delete files, with each write kept as a version-history commit
- Update structured files such as relationship maps, beat boards, timelines, screenplays and world maps
- Leave, list and resolve author notes and editorial comment threads
- Run AI Beta Reader analysis on a chapter from a chosen reader persona and collect the report
- When to use it
- Useful for authors who keep their novels or scripts in Slima and want an assistant to draft, revise, search and comment on manuscripts without leaving the chat. Also suited to getting structured reader feedback on chapters.
- Requirements
- Either the hosted remote endpoint with OAuth sign-in, or the local npm package slima-mcp run through npx with Node.js. Local use needs a Slima API token in SLIMA_API_TOKEN or a one-time browser auth that saves credentials to disk. Network access to the Slima API is required.
Installation
In SourceWeft
- Open Slima in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Use with an agent
Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.
Read https://sourceweft.com/mcp/io.github.slima-ai%2Fslima/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.Other MCP clients
Add this to your client's mcpServers config.
{
"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
Source: README.md at commit f8e71b9
Tools
0Version history
1- v0.1.13LatestSep 16, 2026
Score
85% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 daysRequired25 pts
- Auth declaredRequired10 pts
- Tools listedRequired15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts