# applygenie-mcp

> applygenie-mcp — eternalcodertanishq3-applygenie-mcp. Use this tool when you need to automate desktop control, streamline job application form filling, and enhance interview preparation with AI-powered technology. The applygenie-mcp server takes in user inputs and outputs automated form filling, application tracking, and mock interview simulations. Ideal for individuals seeking to optimize their job search process, it integrates with git for seamless version control.

Canonical page: https://skillsregistry.net/skills/eternalcodertanishq3-applygenie-mcp  
JSON: https://api.skillsregistry.net/v1/skills/eternalcodertanishq3-applygenie-mcp

## Description

🧞‍♂️ AI-powered Model Context Protocol (MCP) server for autonomous desktop control, intelligent job application form filling, local application tracking, and AI mock interview preparation.

## Trust

- **Trust score (0–1):** 0.74
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Eternalcodertanishq3/applygenie-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": "eternalcodertanishq3-applygenie-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/eternalcodertanishq3-applygenie-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/eternalcodertanishq3-applygenie-mcp/pull`

---
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