# Human In The Loop

> Use this tool when you need to integrate human judgment into AI workflows, particularly for applications requiring oversight or intervention in AI decision-making processes, such as content moderation or ethical AI implementations. It provides a standardized interface for managing human-in-the-loop processes, accepting AI-generated tasks as inputs and producing human-validated outputs. This tool is ideal for use cases where human values need to be incorporated into AI systems, enabling seamless coordination between AI agents and human operators.

Canonical page: https://skillsregistry.net/skills/boorich-human-loop  
JSON: https://api.skillsregistry.net/v1/skills/boorich-human-loop

## Description

This Human Loop MCP Server, developed using TypeScript and the Model Context Protocol SDK, facilitates coordination between AI agents and human operators. It provides a standardized interface for managing human-in-the-loop processes, enabling seamless integration of human judgment into AI workflows. The server's modular structure and use of modern JavaScript features make it adaptable for various AI-assisted tasks. It is particularly suited for applications requiring human oversight or intervention in AI decision-making processes, such as content moderation, complex problem-solving, or ethical AI implementations where human values need to be incorporated into AI systems.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

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

## 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": "boorich-human-loop"
    }
  }
}
```

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