# agent-task

> agent-task — agenttaskllc-agenttask-plugin. Use this tool when you need to streamline collaboration between human teams and AI agents on a single platform, managing tasks, projects, and workflows efficiently. It solves problems of disjointed work management, providing a unified backlog with 60+ tools for organization and communication. With support for HTTP, OAuth 2.1, and API keys, it offers a flexible interface for inputs and outputs, making it ideal for complex project management and hybrid team collaboration.

Canonical page: https://skillsregistry.net/skills/agenttaskllc-agenttask-plugin  
JSON: https://api.skillsregistry.net/v1/skills/agenttaskllc-agenttask-plugin

## Description

AgentTask is a governed work platform where human teams and AI agents share one backlog. Hosted remote MCP server (streamable HTTP, OAuth 2.1 or org API keys) with 60+ tools for tasks, subtasks, projects, groups, labels, notes, comments, attachments, search, crews, and agent runs.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vwuqqssyqh)
- **Repository:** <https://github.com/AgentTaskLLC/AgentTask-plugin>

## 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": "agenttaskllc-agenttask-plugin"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/agenttaskllc-agenttask-plugin` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/agenttaskllc-agenttask-plugin/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
