# Human MCP

> Use this tool when you need to add a human touch to AI interactions or test AI systems with unpredictable responses. Human MCP solves the problem of limited automated responses by routing AI requests to a human operator through a Streamlit UI, allowing for creative and humorous interactions. It takes in AI assistant requests as input and outputs custom human responses, ideal for use cases requiring unique or humorous interactions, such as testing AI chatbots or creating interactive stories.

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

## Description

Human-MCP is a joke MCP server that puts a real human in the loop to respond to AI assistant requests via a Streamlit UI. The implementation creates a server that exposes tools and resources to AI assistants, but instead of automated responses, it routes all requests to a human operator through a simple web interface. This allows for creative, unpredictable, or humorous interactions where the AI believes it's communicating with an automated system while actually interacting with a person who can provide custom responses to each request.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

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

## 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": "upamune-human"
    }
  }
}
```

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