# TaskQueue

> Use this tool when you need to manage complex projects with multiple tasks and require progress tracking, user approval, and AI-driven project planning. TaskQueue provides a structured system for AI assistants to break down projects into manageable tasks, with features like auto-approval, task recommendations, and progress visualization. Ideal for collaborative workflows, it supports multiple LLM providers and offers both server and CLI interfaces for seamless integration.

Canonical page: https://skillsregistry.net/skills/chriscarrollsmith-taskqueue  
JSON: https://api.skillsregistry.net/v1/skills/chriscarrollsmith-taskqueue

## Description

TaskQueue MCP Server provides a structured task management system for AI assistants, enabling them to break down complex projects into manageable tasks with progress tracking and user approval checkpoints. Developed by Christopher C. Smith, this TypeScript implementation uses the Model Context Protocol to expose tools for project planning, task creation, status updates, and completion approvals through both a server interface and companion CLI utility. The server supports multiple LLM providers (OpenAI, Google, Deepseek) for generating project plans and includes features like auto-approval, task recommendations, and detailed progress visualization. Ideal for collaborative workflows where AI assistants need to maintain structured progress on multi-step tasks with human oversight.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/chriscarrollsmith-taskqueue)
- **Repository:** <https://github.com/chriscarrollsmith/taskqueue-mcp>

## 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": "chriscarrollsmith-taskqueue"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chriscarrollsmith-taskqueue` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chriscarrollsmith-taskqueue/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