# MCP-Human

> Use this tool when you need to leverage human intelligence and judgment to enhance AI decision-making, particularly for tasks that require nuanced understanding or validation. It solves problems such as data labeling, content moderation, and transcription by creating tasks on Amazon Mechanical Turk, allowing for seamless human-in-the-loop integration. This tool takes in AI-generated tasks and outputs human-validated results, ideal for use cases where machine learning models require human oversight and input.

Canonical page: https://skillsregistry.net/skills/olalonde-mcp-human  
JSON: https://api.skillsregistry.net/v1/skills/olalonde-mcp-human

## Description

Enables AI assistants to request human input by creating tasks on Amazon Mechanical Turk, integrating human-in-the-loop capabilities via the MCP standard.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ck04hktga4)
- **Repository:** <https://github.com/olalonde/mcp-human>

## 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": "olalonde-mcp-human"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/olalonde-mcp-human` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/olalonde-mcp-human/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