Claude Todo MCP Server
Adds persistent task management to AI coding assistants in IDEs, allowing them to track multi-step tasks across sessions and maintain organized workflow with project-scoped todo lists.
Tools
TodoRead
Read the current task list. Returns a list of todos with their current state.
TodoWrite
Update the entire task list (complete replacement). Parameters: todos: List of todo items, each containing: - id: Unique identifier for the task - content: Task description - status: Current status (pending, in_progress, completed) - priority: Task priority (high, medium, low) - metadata: Optional additional data Returns success status and count of todos written.
README
Claude Todo MCP Server
Add persistent task management to any AI coding assistant in Cursor, Windsurf, and other IDEs.
This MCP server replicates Claude Code's todo system, giving your AI assistant the ability to:
- Track complex multi-step tasks across sessions
- Break down large features into manageable pieces
- Remember progress when you switch between projects
- Enforce single in-progress task focus
Why You Want This
Without task management, AI assistants:
- ❌ Forget what they were working on between conversations
- ❌ Lose track of multi-step implementations
- ❌ Can't prioritize or organize complex work
- ❌ Leave tasks half-finished when you switch contexts
With this MCP server:
- ✅ Persistent memory - Tasks survive across sessions
- ✅ Project-scoped - Each workspace gets its own todo list
- ✅ Automatic tracking - AI knows when to create/update tasks
- ✅ Progress visibility - See exactly what's completed/pending
- ✅ Focus enforcement - Only one task in-progress at a time
Quick Start
No installation required! Just add this to your MCP configuration:
{
"mcpServers": {
"task-manager": {
"command": "uvx",
"args": ["claude-todo-emulator"]
}
}
}
- Cursor: Create
.cursor/mcp.jsonin your project root - Other IDEs: Add to your MCP configuration file
Restart your IDE and try: "Create a todo list for adding user authentication"
The system automatically downloads the package and sets up everything on first use!
What You Get
Once configured, your AI assistant will automatically:
Create todos for complex tasks:
You: "Add dark mode support with user preferences"
AI: "I'll create a todo list for this multi-step feature:
- ✅ Add theme context and state management
- 🔄 Create dark mode CSS variables and styles
- ⏳ Build settings UI for theme switching
- ⏳ Add persistence to localStorage
- ⏳ Update existing components for theme support"
Track progress visually:
You: "What's the status on the authentication system?"
AI: "Current authentication tasks:
- ✅ Set up JWT middleware
- ✅ Create login/signup endpoints
- 🔄 Building user profile management (in progress)
- ⏳ Add password reset flow
- ⏳ Implement role-based permissions"
Maintain focus:
You: "Let's also add email notifications"
AI: "I'll add that to the todo list, but let me finish the current user profile task first to maintain focus."
API Reference
TodoRead
- Parameters: None
- Returns:
{todos: Todo[]}
TodoWrite
- Parameters:
{todos: Todo[]} - Returns:
{success: boolean, count: number}
Todo Schema
{
id: string;
content: string;
status: "pending" | "in_progress" | "completed";
priority: "high" | "medium" | "low";
created_at: string;
updated_at: string;
metadata?: object;
}
Contributing
- Fork the repository
- Create a feature branch
- Add tests for new functionality
- Submit a pull request
License
MIT License - see LICENSE file for details.
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