project-planner-MCP
Enables AI assistants like Claude to create and manage projects, todos, priorities, and statuses through natural language, bridging the gap between AI and project management workflows.
README
📋 project-planner-MCP
A Model Context Protocol (MCP) server for AI-powered project and task management — create projects, manage todos, track priorities, and monitor progress seamlessly through any MCP-compatible AI assistant.
📖 Table of Contents
- Overview
- Features
- Getting Started
- Usage
- Integration with Claude
- Project Structure
- Contributing
- License
🌟 Overview
project-planner-ai-MCP is a lightweight, AI-native project management server built on the Model Context Protocol (MCP). It allows AI assistants like Claude to create and manage projects and todos on your behalf — directly from natural language conversations, with no manual UI required.
Whether you're planning a software project, organizing tasks, or tracking team progress, project-planner-ai-MCP bridges the gap between your AI assistant and your project management workflow.
✨ Features
- 🗂 Project Management — Create, retrieve, and delete projects
- ✅ Todo Management — Add, update, and delete todos within projects
- 🔴 Priority Levels — Assign
high,medium, orlowpriority to every task - 📊 Status Tracking — Track todos as
pending,in-progress, orcompleted - 🤖 AI-Native — Fully operable through any MCP-compatible AI assistant
- ⚡ Lightweight — Minimal dependencies, fast setup
🚀 Getting Started
Prerequisites
- Node.js v24 or higher
- An MCP-compatible AI client (e.g., Claude Desktop)
Installation
Clone the repository:
git clone https://github.com/Enockkipkoech/project-planner-MCP.git
cd project-planner-ai-MCP
Install dependencies:
npm install
Build the project:
npm run build
Configuration
Add the server to your MCP client configuration file (e.g., claude_desktop_config.json):
{
"mcpServers": {
"project-planner-mcp": {
"command": "node",
"args": ["/absolute/path/to/project-planner-MCP/build/index.js"]
}
}
}
Restart your MCP client and the server will be available.
🛠 Usage
Available Tools
| Tool | Description |
|---|---|
create-project |
Create a new project with a name and optional description |
list-projects |
List all existing projects |
get-project |
Retrieve a single project by ID |
delete-project |
Delete a project and all its associated todos |
create-todo |
Add a new todo to a project with title, priority, and status |
update-todo |
Update an existing todo's title, description, priority, or status |
delete-todo |
Delete a specific todo by ID |
get-todo-by-id |
Fetch todos for a project, optionally filtered by status |
Examples
Create a project:
"Create a new project called E-Commerce Application"
Add todos:
"Add a high priority todo for User Authentication to my E-Commerce project"
Update status:
"Mark the Shopping Cart todo as in-progress"
List all todos:
"Show me all pending todos for the E-Commerce Application"
🤝 Integration with Claude
project-planner-MCP works seamlessly with Claude Desktop and Claude.ai via the MCP connector system. Once configured:
- Open Claude Desktop
- Start a conversation — Claude will automatically detect the available tools
- Ask Claude to manage your projects in plain English
No extra commands or syntax required — just talk to your AI assistant naturally.
📁 Project Structure
project-planner-MCP/
├── src/
│ ├── index.ts # MCP server entry point
│ ├── tools/ # Tool definitions and handlers
│ └── storage/ # Data persistence layer
├── build/ # Compiled output
├── package.json
├── tsconfig.json
└── README.md
🤲 Contributing
Contributions are welcome! To get started:
- Fork the repository
- Create a new branch:
git checkout -b feature/your-feature-name - Make your changes and commit:
git commit -m "Add your feature" - Push to your branch:
git push origin feature/your-feature-name - Open a Pull Request
Please make sure your code follows the existing style and includes relevant tests.
📄 License
This project is licensed under the MIT License. © 2026 Enock Kipkoech. All rights reserved.
<p align="center">Built by Enock Kipkoech with ❤️ using the <a href="https://modelcontextprotocol.io">Model Context Protocol</a></p>
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。