# cv-mirror-mcp

> Use this tool when you need to test and optimize CV parsing for compatibility with multiple Applicant Tracking Systems (ATS). It simulates how top ATS parsers, including Workday, Greenhouse, and Taleo, read a CV, helping resolve parsing issues and improve resume screening. The tool takes a CV as input and outputs parsing results, making it ideal for recruitment and HR professionals to ensure seamless CV processing.

Canonical page: https://skillsregistry.net/skills/goofypluto999-cv-mirror-mcp  
JSON: https://api.skillsregistry.net/v1/skills/goofypluto999-cv-mirror-mcp

## Description

MCP server that simulates how 5 real ATS parsers (Workday, Greenhouse, Lever, Taleo, iCIMS) read a CV. Pure JS lint engine, MIT licensed, no network calls in lint logic. Vendor-specific rules cite their public sources.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-05-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rrldvhcuh0)
- **Repository:** <https://github.com/goofypluto999/cv-mirror-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": "goofypluto999-cv-mirror-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/goofypluto999-cv-mirror-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/goofypluto999-cv-mirror-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