mcp-server-taskwarrior
TaskWarrior任务管理的MCP服务器. mcp-server-taskwarrior is a Model Context Protocol (MCP) server maintained by awwaiid. It connects to MCP-compatible clients such as Claude Desktop, Cursor, Cline, and other agents that speak the protocol. It exposes 3 tools, including get_next_tasks, add_task and mark_task_done, that an agent can call directly. It is categorized under Tool/TaskWarrior, AI/Integration and Productivity/IssueTracking.
什么是这个MCP
这是一个模型上下文协议(MCP)服务器，为命令行任务管理系统TaskWarrior提供编程接口。它允许AI助手通过标准化API与您的任务列表进行交互。
如何使用这个MCP
通过npm安装(npm install -g mcp-server-taskwarrior)并在Claude Desktop配置文件中进行配置。该服务器提供三个主要API工具：get_next_tasks(查看任务)、add_task(创建任务)和mark_task_done(完成任务)。
这个MCP的用途
使AI助手能够协助个人任务管理——查看待办任务、添加带优先级/日期的新任务以及标记任务完成。适用于工作追踪、个人生产力提升，以及将任务管理集成到AI工作流程中。
AIMCP authority
DR and traffic signal for the AIMCP public domain.
Frequently asked questions
What is the mcp-server-taskwarrior MCP server?
mcp-server-taskwarrior is a Model Context Protocol server from awwaiid. It lets MCP-compatible AI clients call its tools over a standard interface, so agents like Claude, Cursor, and Cline can use it without custom integration.
How do I connect mcp-server-taskwarrior to my AI client?
Add mcp-server-taskwarrior to your client's MCP configuration using the stdio or SSE connection shown in the usage examples on this page, then restart the client to load the server.
What tools does mcp-server-taskwarrior provide?
mcp-server-taskwarrior provides 3 tools: get_next_tasks, add_task and mark_task_done.
Is mcp-server-taskwarrior free to use?
mcp-server-taskwarrior is listed on AIMCP for free. Any API keys or accounts required by the underlying service are set by its provider.
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