TaskBoardAI
Kanban board designed for ai agents to keep track of multi-step tasks. Includes HIL Web UI and MCP server.
What is TaskBoardAI?
what is TaskBoardAI? TaskBoardAI is a Kanban board designed specifically for AI agents to manage and keep track of multi-step tasks efficiently. It features a HIL Web UI and an MCP server for seamless operation. how to use TaskBoardAI? To use TaskBoardAI, set up the HIL Web UI and connect it to the MCP server. You can then create, manage, and monitor tasks assigned to AI agents through the intuitive interface. key features of TaskBoardAI? Designed for AI agents to manage multi-step tasks HIL Web UI for user-friendly interaction MCP server for backend task management use cases of TaskBoardAI? Managing complex workflows for AI projects Tracking progress of AI agents on multi-step tasks Visualizing task dependencies and statuses in a Kanban format FAQ from TaskBoardAI? Can TaskBoardAI be used for non-AI projects? While TaskBoardAI is optimized for AI agents, it can also be adapted for general project management tasks. Is TaskBoardAI open source? Yes! TaskBoardAI is available under the Apache-2.0 license on GitHub. How can I contribute to TaskBoardAI? Contributions are welcome! You can submit issues or pull requests on the GitHub repository.
As an MCP (Model Context Protocol) server, TaskBoardAI 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 TaskBoardAI
To use TaskBoardAI, set up the HIL Web UI and connect it to the MCP server. You can then create, manage, and monitor tasks assigned to AI agents through the intuitive interface. key features of TaskBoardAI? Designed for AI agents to manage multi-step tasks HIL Web UI for user-friendly interaction MCP server for backend task management use cases of TaskBoardAI? Managing complex workflows for AI projects Tracking progress of AI agents on multi-step tasks Visualizing task dependencies and statuses in a Kanban format FAQ from TaskBoardAI? Can TaskBoardAI be used for non-AI projects? While TaskBoardAI is optimized for AI agents, it can also be adapted for general project management tasks. Is TaskBoardAI open source? Yes! TaskBoardAI is available under the Apache-2.0 license on GitHub. How can I contribute to TaskBoardAI? Contributions are welcome! You can submit issues or pull requests on the GitHub repository.
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 TaskBoardAI 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 TaskBoardAI provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.
Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.