project-planner-MCP
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
š project-planner-MCP
A Model Context Protocol (MCP) server for AI-powered project and task management ā create projects, manage todos, track priorities, and monitor progress seamlessly through any MCP-compatible AI assistant.
š Table of Contents
Related MCP server: Todoist MCP Server
š 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 ā 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
š Project Management ā Create, retrieve, and delete projects
ā Todo Management ā Add, update, and delete todos within projects
š“ Priority Levels ā Assign
high,medium, orlowpriority to every taskš Status Tracking ā Track todos as
pending,in-progress, orcompletedš¤ AI-Native ā Fully operable through any MCP-compatible AI assistant
ā” Lightweight ā Minimal dependencies, fast setup
š 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-MCPInstall dependencies:
npm installBuild the project:
npm run buildConfiguration
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.
š Usage
Available Tools
Tool | Description |
| Create a new project with a name and optional description |
| List all existing projects |
| Retrieve a single project by ID |
| Delete a project and all its associated todos |
| Add a new todo to a project with title, priority, and status |
| Update an existing todo's title, description, priority, or status |
| Delete a specific 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"š¤ 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 ā Claude will automatically detect the available tools
Ask Claude to manage your projects in plain English
No extra commands or syntax required ā just talk to your AI assistant naturally.
š Project Structure
project-planner-MCP/
āāā src/
ā āāā index.ts # MCP server entry point
ā āāā tools/ # Tool definitions and handlers
ā āāā storage/ # Data persistence layer
āāā build/ # Compiled output
āāā package.json
āāā tsconfig.json
āāā README.md𤲠Contributing
Contributions are welcome! To get started:
Fork the repository
Create a new branch:
git checkout -b feature/your-feature-nameMake your changes and commit:
git commit -m "Add your feature"Push to your branch:
git push origin feature/your-feature-nameOpen a Pull Request
Please make sure your code follows the existing style and includes relevant tests.
š License
This project is licensed under the MIT License. © 2026 Enock Kipkoech. All rights reserved.
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Maintenance
Related MCP Connectors
Manage projects, tasks, time tracking, and team collaboration through natural language.
Manage Redbooth tasks, task lists, comments, tags and files from Claude and other AI assistants.
Manage tasks, Focus Zone, notes, projects, and task history from compatible AI assistants.
Turn user requests and support messages into tasks and tell users what shipped, from any AI agent.
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