# Parahuman

> Parahuman — co-parahuman-parahuman. Use this tool when you need to monitor brand reputation and track online sentiment across multiple social media platforms. It solves problems related to brand management, reputation tracking, and keyword monitoring, providing insights through sentiment analysis and keyword tracking. By inputting monitored keywords and brand names, it outputs sentiment reports and mention alerts across 11 platforms.

Canonical page: https://skillsregistry.net/skills/co-parahuman-parahuman  
JSON: https://api.skillsregistry.net/v1/skills/co-parahuman-parahuman

## Description

Search brand mentions, track sentiment, and manage monitored keywords across 11 platforms.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

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

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/co.parahuman%2Fparahuman)

## Use it

MCP endpoint published by the skill: `https://api.parahuman.co/mcp/v1`

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": "co-parahuman-parahuman"
    }
  }
}
```

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