# Dazbench

> Dazbench — app-dazbench-dazbench. Use this tool when you need to streamline task management for AI agents, converting single lines of text into actionable tasks over the Message Control Protocol (MCP). Dazbench solves the problem of inefficient task assignment and execution, providing a seamless interface for inputs and outputs. Ideal for use cases requiring automated task distribution and management in AI-driven workflows.

Canonical page: https://skillsregistry.net/skills/app-dazbench-dazbench  
JSON: https://api.skillsregistry.net/v1/skills/app-dazbench-dazbench

## Description

Task management your AI agents can actually run. One line becomes a context-ready task over MCP.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 0.49.37
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/app.dazbench%2Fdazbench)

## Use it

MCP endpoint published by the skill: `https://mcp.dazbench.app/mcp`

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": "app-dazbench-dazbench"
    }
  }
}
```

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