What prerequisites are needed?
TaskWarrior must be installed and configured on your system; this server runs the local `task` binary.
@MCP-Mirror
基本信息
Mirror of
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"taskwarrior": {
"command": "npx",
"args": [
"-y",
"mcp-server-taskwarrior"
]
}
}
}Get a list of all pending tasks
Add a new task to TaskWarrior
Mark a task as completed
A Node.js server implementing the Model Context Protocol (MCP) to enable AI assistants to interact with local TaskWarrior task management. It provides tools to view, add, and complete tasks, running the user's local task binary.
Install globally with npm install -g mcp-server-taskwarrior, then add it to an MCP client such as Claude Desktop by editing claude_desktop_config.json to run npx -y mcp-server-taskwarrior. Ensure TaskWarrior is installed and configured on your system.
TaskWarrior must be installed and configured on your system; this server runs the local `task` binary.
Run `npm install -g mcp-server-taskwarrior` from the command line.
Add a `"taskwarrior"` entry under `mcpServers` in `claude_desktop_config.json` with `command: "npx"` and `args: ["-y", "mcp-server-taskwarrior"]`.
No. It currently uses the `id` field, which TaskWarrior renumbers when tasks are added or removed. Future versions plan to use the UUID instead.
Three tools: `get_next_tasks` (with optional project and tags filters), `add_task` (required description, optional due, priority, project, tags), and `mark_task_done` (required identifier – task ID or UUID).
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