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olalonde/mcp-human

by Various

Human Assistance for AI Assistants

O

MCP

olalonde/mcp-human

Added 1 June 2026

#aws #aws-mturk #llm #mcp #mcp-server

Overview

A Model Context Protocol server that enables AI assistants to request human input during tasks. It provides tools for the AI to ask questions, get approvals, or receive guidance from a human operator. Built in JavaScript, it integrates with MCP-compatible clients.

Best for

Best for
Developers building responsible AI agents that need supervised decision-making

Use cases

  • Adding human verification steps to automated workflows
  • Allowing AI agents to request clarification on ambiguous requests
  • Implementing human-in-the-loop for sensitive actions in AI deployments

How to use

Install

claude mcp add human -- npx -y mcp-human@latest

Tools exposed

  • MTURK_SANDBOX
  • AWS_REGION
  • AWS_PROFILE
  • DEFAULT_REWARD
  • FORM_URL

Tested with

Claude Desktop, Claude Code

Notes

A Model Context Protocol server that enables AI assistants to request human input during tasks. It provides tools for the AI to ask questions, get approvals, or receive guidance from a human operator. Built in JavaScript, it integrates with MCP-compatible clients.

24 stars on GitHub. Last updated 2025-05-08.

Use cases

  • Adding human verification steps to automated workflows
  • Allowing AI agents to request clarification on ambiguous requests
  • Implementing human-in-the-loop for sensitive actions in AI deployments

Pros

  • Simple integration with MCP ecosystems
  • Enables safe delegation by adding human oversight
  • Lightweight JavaScript implementation

Cons

  • Requires human availability, limiting full automation
  • Small community and limited documentation (24 stars)
  • Potential latency from human response time

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Simple integration with MCP ecosystems
  • Enables safe delegation by adding human oversight
  • Lightweight JavaScript implementation

Cons

  • Requires human availability, limiting full automation
  • Small community and limited documentation (24 stars)
  • Potential latency from human response time
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