# mcp

> mcp — dmarcoff-mcp. Use this tool when you need to analyze DMARC data for AI assistants like Claude, ChatGPT, and Cursor, to solve email authentication and security issues. It provides insights into DMARC reports, helping to prevent spam and phishing attacks. Input DMARC data and receive actionable analytics to improve email deliverability and security.

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

## Description

DMARC analytics for AI assistants — Claude, ChatGPT, Cursor and more

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

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

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