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by danielmeint • Uncategorized
An MCP server that connects todo.txt files to AI assistants for natural language task management.
Manage todo.txt tasks through natural language interfaces.
Integrate plain text task lists with AI assistants like Claude.
Perform task operations such as adding, completing, and filtering todos programmatically.
This MCP server enables integration of plain text todo.txt files with AI assistants like Claude, allowing users to manage tasks through natural language commands while preserving the simplicity and portability of todo.txt format. It supports various task operations such as listing, adding, completing, updating, deleting, and searching todos, as well as filtering by priority, project, or context. The server can be easily configured and integrates with existing todo.txt tools like todo.sh, enhancing productivity without requiring complex setups.
List all todos, optionally including completed ones. Args: include_completed: Whether to include completed todos in the list Returns: Dictionary containing the list of todos and summary information
Get a specific todo by its ID. Args: todo_id: The unique identifier of the todo Returns: Dictionary containing the todo details or error message
Search todos by text content. Args: query: Text to search for in todo descriptions include_completed: Whether to include completed todos in search Returns: Dictionary containing matching todos and search information
Filter todos by priority level. Args: priority: Priority level (A-Z) include_completed: Whether to include completed todos Returns: Dictionary containing filtered todos
Filter todos by project. Args: project: Project name (without the + prefix) include_completed: Whether to include completed todos Returns: Dictionary containing filtered todos
Get the raw content of the todo.txt file.
Get todo statistics as formatted text.
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