# mcp-taskwarrior-ai

> Use this tool when you need to manage tasks using natural language inputs and integrate with existing Taskwarrior infrastructure. It solves problems of cumbersome task management and limited AI-system compatibility, allowing for seamless interaction between AI agents and task management systems. The tool accepts natural language inputs and outputs task management data, ideal for use cases where AI-driven task automation is required.

Canonical page: https://skillsregistry.net/skills/storypixel-mcp-taskwarrior-ai  
JSON: https://api.skillsregistry.net/v1/skills/storypixel-mcp-taskwarrior-ai

## Description

An AI-native Taskwarrior bridge that provides natural language task management for Claude Code and other AI systems, integrating with existing Taskwarrior infrastructure.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-05-27

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/s8319dciu0)
- **Repository:** <https://github.com/storypixel/mcp-taskwarrior-ai>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "storypixel-mcp-taskwarrior-ai"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/storypixel-mcp-taskwarrior-ai` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/storypixel-mcp-taskwarrior-ai/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
