# com.emailkind/emailkind

> com.emailkind/emailkind — com-emailkind-emailkind. Use this tool when you need to classify email addresses and domains by provider and type, helping to identify legitimate business or personal contacts and filter out disposable emails. It solves problems such as email list validation, spam detection, and customer segmentation by taking email addresses as input and outputting classifications like provider and type. Ideal for use cases like marketing automation, fraud prevention, and data enrichment.

Canonical page: https://skillsregistry.net/skills/com-emailkind-emailkind  
JSON: https://api.skillsregistry.net/v1/skills/com-emailkind-emailkind

## Description

Classify email addresses and domains by provider and type (business, personal, disposable).

## 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:** communication
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.emailkind%2Femailkind)

## Use it

MCP endpoint published by the skill: `https://emailkind.com/v1/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-emailkind-emailkind"
    }
  }
}
```

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