Remnus
Notion-like workspace of pages and customizable databases with a remote MCP server (OAuth 2.1 + PKCE, scoped read/write tokens, full audit log). 14 tools to search, read, and write pages, database rows, and database schemas.
README
Remnus
Open-source MCP-native workspace for humans and AI agents.
Kanban boards, databases, and pages that Claude, Cursor, and any AI agent can read and write via MCP — alongside you.
What is Remnus?
Remnus is a Notion-like workspace built around the Model Context Protocol (MCP). Every page, database, and kanban board in your workspace is accessible to AI agents via a first-class MCP server — connect editors with one-click OAuth 2.1 (PKCE), or use a scoped bearer token for headless / CI agents.
Unlike Notion's MCP integration, Remnus is designed for headless, CI/CD, and coding agent workflows from day one.
Features
- Pages — Markdown editor with slash commands, nested sub-pages, and icons
- Databases — Customizable columns, Table / Kanban / Calendar views, filters, sorts
- MCP Server — 14 tools + 4 resources + 5 prompts, Streamable HTTP + SSE dual transport
- Agent auth — One-click OAuth 2.1 + PKCE (RFC 7591 dynamic registration) for editors, or scoped read/write personal access tokens for headless agents
- Multi-workspace — Invite members, role-based access (owner / member / viewer)
- Desktop app — Tauri v2 shell for Windows, macOS, Linux
- Mobile — Capacitor v8 for iOS and Android (loads remnus.com)
- i18n — English, Türkçe, Español, Français, Deutsch, हिन्दी
Quick Start — Self-host
Local Development
git clone https://github.com/Ranork/remnus-app.git
cd remnus-app
cp .env.example .env # fill in AUTH_SECRET + OAuth credentials
npm install
npm run db:migrate
npm run dev
Open http://localhost:3000. The first user to sign up is auto-promoted to admin.
Docker Compose (5-minute setup)
If you prefer to run Remnus using Docker:
- Clone the repository and navigate into it:
git clone https://github.com/Ranork/remnus-app.git cd remnus-app - Copy the environment template and fill in the required variables (especially
AUTH_SECRETand OAuth credentials):cp .env.example .env - Start the application:
docker compose up -d - Access Remnus at
http://localhost:3000. The SQLite database will be persisted automatically using a Docker volume.
Deploy
Add MCP to your editor
After signing in, open the AI Agents panel from the sidebar and click Connect editor. It walks you through every supported editor (Cursor, VS Code, Claude Code, Codex, Windsurf, and more).
Install from a registry
Remnus is published on the official MCP Registry (io.github.Ranork/remnus) and on Smithery, so MCP-aware clients and directories can discover it automatically. Smithery offers one-click install across many clients (Claude, Cursor, VS Code, Codex, Windsurf, and more) — open the Smithery page and click Add to toolbox, or use the Smithery CLI to install straight into a client's config:
npx -y smithery@latest mcp add ranorkk/remnus --client claude
Swap --client for cursor, vscode, codex, windsurf, etc. Either way, the first connection runs the same OAuth 2.1 sign-in — no token to paste.
Recommended — OAuth (token-less): point your editor at the MCP URL and approve the consent screen on first connect. Your editor runs the OAuth 2.1 flow automatically — nothing to copy.
{
"mcpServers": {
"remnus": {
"type": "http",
"url": "https://your-instance.com/api/mcp"
}
}
}
Headless / CI — personal access token: create a scoped token from the AI Agents panel and send it as a bearer header.
{
"mcpServers": {
"remnus": {
"type": "http",
"url": "https://your-instance.com/api/mcp",
"headers": {
"Authorization": "Bearer <your-token>"
}
}
}
}
MCP Tools
| Tool | Scope | Description |
|---|---|---|
search_workspace |
read | Full-text search across pages and databases |
list_workspace |
read | List sidebar items with pagination |
get_page |
read | Get a page or database row by ID |
get_database_schema |
read | Get column schema of a database |
query_database |
read | Query rows with filters and pagination |
list_members |
read | List workspace members with roles |
query_audit_log |
read | Filtered agent activity log |
create_page |
write | Create a standalone page or database row |
update_page |
write | Update title, content, or properties |
bulk_update_pages |
write | Update multiple rows in one call |
delete_page |
write | Delete a page (requires confirm: true) |
move_item |
write | Move item to a new parent |
create_database |
write | Create a database with custom schema |
update_database_schema |
write | Add or remove columns |
Tech Stack
- Framework: Next.js 15 (App Router)
- Database: SQLite via Drizzle ORM +
@libsql/client(Turso-compatible) - Auth: Auth.js v5 — Google & GitHub OAuth
- Styling: Tailwind CSS + Lucide icons
- Desktop: Tauri v2 (Rust)
- Mobile: Capacitor v8
Contributing
See CONTRIBUTING.md. All contributions are welcome — bug fixes, new MCP tools, translations, and docs.
License
AGPL-3.0 — free to self-host and modify. SaaS forks must open-source their changes.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。