🚀 TaskMaster: Todoist MCP for Cursor AI
A lightweight Model Context Protocol (MCP) server that enables natural language interaction with your Todoist tasks directly from your IDE. Built with simplicity and maintainability in mind.
What is 🚀 TaskMaster: Todoist MCP for Cursor AI?
what is TaskMaster? TaskMaster is a lightweight Model Context Protocol (MCP) server that enables natural language interaction with your Todoist tasks directly from your IDE, specifically designed for Cursor AI. how to use TaskMaster? To use TaskMaster, clone the repository, install the dependencies, set your Todoist API token as an environment variable, and run the server using Python. key features of TaskMaster? Flexible task filtering using Todoist's powerful filter syntax. Rich task formatting displaying priority, due date, and relevant information. Seamless integration with Cursor AI for direct interaction with Todoist tasks. use cases of TaskMaster? Managing tasks directly from your coding environment. Filtering tasks based on due dates and priority levels. Enhancing productivity by integrating task management with coding workflows. FAQ from TaskMaster? Can TaskMaster work with any IDE? TaskMaster is designed to work specifically with Cursor AI. Is TaskMaster free to use? Yes! TaskMaster is open-source and free to use. What are the prerequisites for using TaskMaster? You need Python 3.10 or higher, Poetry for dependency management, and a Todoist account with an API token.
As an MCP (Model Context Protocol) server, 🚀 TaskMaster: Todoist MCP for Cursor AI enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.
How to use 🚀 TaskMaster: Todoist MCP for Cursor AI
To use TaskMaster, clone the repository, install the dependencies, set your Todoist API token as an environment variable, and run the server using Python. key features of TaskMaster? Flexible task filtering using Todoist's powerful filter syntax. Rich task formatting displaying priority, due date, and relevant information. Seamless integration with Cursor AI for direct interaction with Todoist tasks. use cases of TaskMaster? Managing tasks directly from your coding environment. Filtering tasks based on due dates and priority levels. Enhancing productivity by integrating task management with coding workflows. FAQ from TaskMaster? Can TaskMaster work with any IDE? TaskMaster is designed to work specifically with Cursor AI. Is TaskMaster free to use? Yes! TaskMaster is open-source and free to use. What are the prerequisites for using TaskMaster? You need Python 3.10 or higher, Poetry for dependency management, and a Todoist account with an API token.
Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.
Use Cases for this MCP Server
- No use cases specified.
MCP servers like 🚀 TaskMaster: Todoist MCP for Cursor AI can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.
About Model Context Protocol (MCP)
The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like 🚀 TaskMaster: Todoist MCP for Cursor AI provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.
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