# mechanical-turk

> Use this tool when you need to leverage human intelligence to augment AI decision-making, or when faced with tasks that require human judgment or input. The Mechanical Turk tool enables AI agents to pose questions to humans via a browser console, receiving answers that inform subsequent actions. Ideal for use cases where human-in-the-loop processing is necessary, such as data labeling, content moderation, or resolving ambiguous queries.

Canonical page: https://skillsregistry.net/skills/hobsojam-mechanical-turk  
JSON: https://api.skillsregistry.net/v1/skills/hobsojam-mechanical-turk

## Description

An MCP server that inverts AI-human interaction: AI agents can ask humans questions via a browser console, blocking until answered.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/sc149t51ty)
- **Repository:** <https://github.com/hobsojam/mechanical-turk>

## 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": "hobsojam-mechanical-turk"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hobsojam-mechanical-turk` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hobsojam-mechanical-turk/pull`

---
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