Email Checker MCP Server
Servidor MCP del comprobador de correo electrónico
Para sus correos electrónicos salientes fríos, esta herramienta le ayudará a validar direcciones de correo electrónico.
Características
Validación de dirección de correo electrónico
Formato de respuesta JSON simple
No se requiere clave API
Related MCP server: email-verify
Prerrequisitos
Python 3.x
Instalación
Clonar el repositorio:
git clone https://github.com/ravinahp/email-checker-mcp.git
cd email-checker-mcpInstalar dependencias usando uv:
uv syncNota: Usamos uv en lugar de pip ya que el proyecto usa pyproject.toml para la gestión de dependencias.
Configurar como servidor MCP
Para agregar esta herramienta como servidor MCP, deberá modificar el archivo de configuración del escritorio Claude.
La ubicación del archivo de configuración depende de su sistema operativo:
MacOS:
~/Library/Application\ Support/Claude/claude_desktop_config.jsonVentanas:
%APPDATA%/Claude/claude_desktop_config.json
Agregue la siguiente configuración a su archivo JSON:
{
"email-checker-mcp": {
"command": "uv",
"args": [
"--directory",
"/Users/YOUR_USERNAME/Code/email-checker-mcp",
"run",
"email-checker-mcp"
]
}
}⚠️ IMPORTANTE:
Reemplace
YOUR_USERNAMEcon su nombre de usuario actual del sistemaAsegúrese de que la ruta del directorio coincida con su instalación local
Uso
El servicio proporciona una herramienta FastMCP para validar direcciones de correo electrónico:
@mcp.tool()
async def validate_email(email: str) -> bool:
"""Validate if an email address exists."""Ejemplo de uso:
Pregunta: ¿Existe este correo electrónico?
Parámetros:
email: Cadena que contiene la dirección de correo electrónico a validar
Ejemplo de respuesta:
{
"exist": true
}Límites de uso de la API
El servicio utiliza la API de correo electrónico de 2IP que proporciona:
No se requiere clave API
Manejo de errores
El servicio incluye el manejo de errores para:
Formato de correo electrónico no válido
Errores en las solicitudes de API
Tiempos de espera de la red
Limitación de velocidad
Available Tools
1 toolverify_emailB
Verify an email address using the 2ip.me API.
Args:
email (str): The email address to verify
Returns:
str: "true" or "false" indicating if the email is valid
| Name | Required | Description | Default |
|---|---|---|---|
| Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions the API source (2ip.me) and the return value format, but it lacks details on rate limits, authentication needs, error handling, or what 'valid' means (e.g., syntax check vs. deliverability). This leaves significant gaps for a tool that interacts with an external service.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is well-structured and concise, with three sentences that efficiently cover the purpose, input, and output. Each sentence adds value: the first states the action and API, the second defines the parameter, and the third explains the return value. There is no wasted verbiage.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's low complexity (1 parameter, no output schema, no annotations), the description is moderately complete. It covers the basic purpose and return format but lacks behavioral details like error cases or API limitations. Without annotations or output schema, it should ideally include more about what 'valid' entails or usage constraints, leaving room for improvement.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description adds meaningful context beyond the input schema. The schema has 0% description coverage, but the description specifies that the 'email' parameter is 'The email address to verify,' clarifying its purpose. Since there's only one parameter, this adequately compensates for the low schema coverage, though it doesn't detail format constraints (e.g., valid email patterns).
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: 'Verify an email address using the 2ip.me API.' It specifies the verb ('verify') and resource ('email address'), though it doesn't differentiate from siblings since there are none. The description is specific but lacks the nuance of sibling differentiation that would warrant a 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It states what the tool does but offers no context about prerequisites, limitations, or scenarios for its application. With no siblings, it could implicitly be the only option, but explicit usage guidelines are missing.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
1 tool update
- First observed
verify_email
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The tool's purpose is clearly defined and distinct.
Since there is only one tool, naming consistency is inherently perfect. The tool name 'verify_email' follows a clear verb_noun pattern.
A single tool is too few for a server named 'Email Checker MCP Server', which suggests a broader scope. This minimal set feels thin and underdeveloped for the domain.
The server is severely incomplete for email checking. It only verifies email validity, missing obvious operations like checking email deliverability, domain reputation, or spam score, which are typical in this domain.
Maintenance
Related MCP Connectors
Real-time single and bulk email validation (syntax, MX, 5,000+ disposable domains, SMTP).
Validate emails without sending mail: syntax, MX, disposable, role and typo checks, SPF/DMARC.
Keyless email checks: disposable, role, and free-provider detection, MX, and typo suggestions.
Related MCP Servers
- AlicenseAqualityBmaintenanceEmail validation MCP server using MailboxValidator API to determine validity of an email address.345 npm1MIT
- AlicenseAqualityDmaintenanceEnables real-time email verification via MCP tools, checking syntax, MX, disposable domains, and optional SMTP probe to determine deliverability with a VALID/RISKY/INVALID verdict.210 npmMIT
- AlicenseBqualityDmaintenanceAn MCP server that provides email verification, returning valid, invalid, or risky status with detailed checks and metadata. It enables verifying email addresses via a simple tool interface.3MIT
- AlicenseNot gradedqualityDmaintenanceProvides email verification as an MCP tool, checking format, disposable domains, and mail server availability with structured results.ISC