# project_human

> project_human — humanity4ai-project-human. Use this tool when you need to add a human touch to language model responses, solving problems of robotic or insensitive output in applications requiring empathy or personalization. The project_human tool takes in standard LLM input and generates more humane and relatable responses as output. It is ideal for use cases in customer service, content creation, or social interactions where a human-like tone is essential.

Canonical page: https://skillsregistry.net/skills/humanity4ai-project-human  
JSON: https://api.skillsregistry.net/v1/skills/humanity4ai-project-human

## Description

The MCP server incorporate humanity into the LLM response

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dhrh2tyj08)
- **Repository:** <https://github.com/humanity4ai/project_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": "humanity4ai-project-human"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/humanity4ai-project-human` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/humanity4ai-project-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