# Reply Argus

> Reply Argus — com-replyargus-reply-argus. Use this tool when you need to efficiently manage large volumes of app reviews across multiple platforms and languages. Reply Argus solves the problem of manually responding to reviews by automating on-brand replies on the App Store and Google Play in over 100 languages. It takes app reviews as input and generates personalized responses as output, ideal for use in high-volume review management scenarios.

Canonical page: https://skillsregistry.net/skills/com-replyargus-reply-argus  
JSON: https://api.skillsregistry.net/v1/skills/com-replyargus-reply-argus

## Description

Stop drowning in app reviews: auto-reply on App Store & Google Play, on-brand, 100+ languages.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **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:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.replyargus%2Freply-argus)

## Use it

MCP endpoint published by the skill: `https://www.replyargus.com/api/mcp`

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": "com-replyargus-reply-argus"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-replyargus-reply-argus` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-replyargus-reply-argus/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