# MCP-Email-Verify

> Use this tool when you need to validate email addresses in your AI applications, as it checks email format, domain validity, and deliverability, providing a reliable output to inform your LLM's decision-making process. It solves problems related to email verification, reducing bounce rates and improving communication effectiveness. With a simple interface that takes email addresses as input and returns validation results, it's ideal for use cases where email accuracy is crucial.

Canonical page: https://skillsregistry.net/skills/abhi5h3k-mcp-email-verify  
JSON: https://api.skillsregistry.net/v1/skills/abhi5h3k-mcp-email-verify

## Description

A lightweight Model Context Protocol (MCP) server that enables your LLM to validate email addresses. This tool checks email format, domain validity, and deliverability using the AbstractAPI Email Validation API. Perfect for integrating email validation into AI applications like Claude Desktop.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** communication
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ck7li0re1y)
- **Repository:** <https://github.com/Abhi5h3k/MCP-Email-Verify>

## 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": "abhi5h3k-mcp-email-verify"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/abhi5h3k-mcp-email-verify` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/abhi5h3k-mcp-email-verify/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