# AI Applyd

> AI Applyd — whateverneveranywhere-aiapplyd-mcp. Use this tool when you need to streamline your job application process and increase hiring chances. AI Applyd solves problems such as tedious resume customization, lengthy job searches, and interview preparation, by providing automated resume scoring, job-description analysis, and interview prep, with inputs including resumes, job descriptions, and cover letters, and outputs including optimized resumes and auto-submitted applications. It is ideal for job seekers looking to efficiently manage their applications and improve their visibility to potential employers.

Canonical page: https://skillsregistry.net/skills/whateverneveranywhere-aiapplyd-mcp  
JSON: https://api.skillsregistry.net/v1/skills/whateverneveranywhere-aiapplyd-mcp

## Description

ATS resume scoring, job-description analysis, interview prep, cover letters, resume building and auto-apply that submits on the employer's own hiring system. Hosted remote server over Streamable HTTP with OAuth 2.1.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/l3a3g4njjw)
- **Repository:** <https://github.com/whateverneveranywhere/aiapplyd-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": "whateverneveranywhere-aiapplyd-mcp"
    }
  }
}
```

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