Super Productivity MCP
Enables AI assistants to manage tasks, projects, and analyze productivity directly in Super Productivity through real-time integration via Socket.IO bridge plugin.
README
Super Productivity MCP
An MCP (Model Context Protocol) server to integrate Super Productivity with AI assistants.
About
This project enables AI assistants (like Claude) to manage tasks, projects, and analyze productivity directly within Super Productivity.
Architecture

Requirements
- Node.js 18+
- Super Productivity v14.0.0+
Quick Start
1. Run the MCP Server
cd super-productivity-mcp
npm install
npm run build
npm start
2. Super Productivity Plugin
- Open Super Productivity > Settings > Plugins
- Install the
mcp-bridge-plugin.zipfile - Restart the app
3. Configure an MCP Client
See docs/CONFIGURACAO_SERVIDOR.md for detailed instructions.
Example configuration for Claude Desktop (claude_desktop_config.json):
{
"mcpServers": {
"super-productivity": {
"command": "node",
"args": ["C:\\path\\to\\super-productivity-mcp\\dist\\index.js"]
}
}
}
Configuration
Create a .env file and add:
PORT=3000
Available Tools
All tools are exposed through the MCP server and can be invoked by AI assistants.
Tasks
| Tool | Description |
|---|---|
list_tasks |
List tasks |
create_task |
Create a task |
update_task |
Update a task |
complete_task |
Mark a task as complete |
batch_update_tasks |
Batch operations on tasks |
Projects
| Tool | Description |
|---|---|
list_projects |
List projects |
create_project |
Create a project |
Smart Actions
| Tool | Description |
|---|---|
analyze_productivity |
Productivity analysis |
suggest_priorities |
Suggest priorities |
create_daily_plan |
Create a daily work plan |
Project Structure
super-productivity-mcp/
├── src/
│ ├── index.ts # Entry point
│ ├── client/
│ │ └── sp-client.ts # HTTP client (legacy)
│ └── tools/
│ ├── tasks.ts # Task tools
│ ├── projects.ts # Project tools
│ └── smart-actions.ts
├── mcp-bridge-plugin/
│ ├── manifest.json # Plugin manifest
│ ├── plugin.js # Plugin code
│ └── socket.io.min.js # Socket.IO library
├── docs/ # Documentation
└── package.json
Development
npm run dev
Docker
docker build -t super-productivity-mcp .
docker run -p 3000:3000 super-productivity-mcp
Documentation
- User Guide — End-user instructions (Portuguese)
- Server Configuration — How to add it to MCP clients (Portuguese)
- Developer Docs — For core contributors (Portuguese)
Contact
Connect with the author on LinkedIn: Delon Rocha
Verify the Installation
- Start the server:
npm start - Open Super Productivity
- In the browser console (F12), verify:
MCP Bridge: Connected to MCP Server - In the server terminal, verify:
Plugin Super Productivity connected
License
ISC
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。