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awwaiid/mcp-server-taskwarrior

by Various

MCP Server for TaskWarrior!

A

MCP

awwaiid/mcp-server-taskwarrior

Added 1 June 2026

Overview

An MCP server that exposes TaskWarrior task management to MCP-compatible clients. It allows AI agents and tools to create, list, and manage tasks through the Model Context Protocol.

Best for

Best for
Developers who already use TaskWarrior and want to expose it to MCP-based agents or tools

Use cases

  • Automating task creation and updates from an AI assistant or CLI
  • Querying TaskWarrior projects and tasks via MCP clients
  • Integrating task management into agent-driven workflows

How to use

Install

npm install -g mcp-server-taskwarrior

Tools exposed

  • priority
  • identifier
  • get_next_tasks
  • add_task
  • mark_task_done

Tested with

Claude Desktop

Example client config

{\n  "mcpServers": {\n    "taskwarrior": {\n      "command": "npx",\n      "args": [\n        "-y",\n        "mcp-server-taskwarrior"\n      ]\n    }\n  }\n}

Notes

An MCP server that exposes TaskWarrior task management to MCP-compatible clients. It allows AI agents and tools to create, list, and manage tasks through the Model Context Protocol.

46 stars on GitHub. Last updated 2026-03-27. Licensed MIT.

Use cases

  • Automating task creation and updates from an AI assistant or CLI
  • Querying TaskWarrior projects and tasks via MCP clients
  • Integrating task management into agent-driven workflows

Pros

  • Leverages existing TaskWarrior data and configuration
  • Simple JavaScript implementation, easy to fork or extend
  • Small, focused tool with no unnecessary dependencies

Cons

  • Requires a running TaskWarrior instance and compatible MCP client
  • Limited to TaskWarrior’s native features and schema
  • Niche audience: only useful for TaskWarrior + MCP users

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Leverages existing TaskWarrior data and configuration
  • Simple JavaScript implementation, easy to fork or extend
  • Small, focused tool with no unnecessary dependencies

Cons

  • Requires a running TaskWarrior instance and compatible MCP client
  • Limited to TaskWarrior's native features and schema
  • Niche audience: only useful for TaskWarrior + MCP users
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