gotask-mcp
A Model Context Protocol (MCP) Server for go-task (
What is gotask-mcp?
what is gotask-mcp? gotask-mcp is a Model Context Protocol (MCP) Server designed for the go-task task runner, enabling the execution of defined tasks as tools powered by generative AI. how to use gotask-mcp? To use gotask-mcp, you need to install the uv dependency management tool and Taskfile. After cloning the project, install mcp[cli] and start the server using the command: uv run --with mcp --directory /path/to/gotask-mcp mcp run /path/to/gotask-mcp/src/server.py. key features of gotask-mcp? Integration with go-task for task management Ability to run tasks defined in a Taskfile.yml Supports generative AI for executing tasks at appropriate times use cases of gotask-mcp? Automating development tasks such as code formatting and linting. Running QA checks as part of the development cycle. Enabling coding agents to execute predefined tasks automatically. FAQ from gotask-mcp? What is the purpose of gotask-mcp? It serves as a server to run tasks defined in a Taskfile.yml using generative AI. What are the prerequisites for using gotask-mcp? You need to have uv and Taskfile installed. Is gotask-mcp production-ready? Currently, it is a demonstration project and not yet production-ready.
As an MCP (Model Context Protocol) server, gotask-mcp 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 gotask-mcp
To use gotask-mcp, you need to install the uv dependency management tool and Taskfile. After cloning the project, install mcp[cli] and start the server using the command: uv run --with mcp --directory /path/to/gotask-mcp mcp run /path/to/gotask-mcp/src/server.py. key features of gotask-mcp? Integration with go-task for task management Ability to run tasks defined in a Taskfile.yml Supports generative AI for executing tasks at appropriate times use cases of gotask-mcp? Automating development tasks such as code formatting and linting. Running QA checks as part of the development cycle. Enabling coding agents to execute predefined tasks automatically. FAQ from gotask-mcp? What is the purpose of gotask-mcp? It serves as a server to run tasks defined in a Taskfile.yml using generative AI. What are the prerequisites for using gotask-mcp? You need to have uv and Taskfile installed. Is gotask-mcp production-ready? Currently, it is a demonstration project and not yet production-ready.
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 gotask-mcp 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 gotask-mcp 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.