blastengine-mailer
Servidor MCP de blastengine-mailer
Un servidor de protocolo de contexto de modelo
Este es un servidor MCP basado en TypeScript que implementa un sistema de envío de correo electrónico.
Características
Herramientas
send_email- enviar un correo electrónico
Related MCP server: Scrapbox MCP Server
Desarrollo
Instalar dependencias:
npm installConstruir el servidor:
npm run buildPara desarrollo con reconstrucción automática:
npm run watchInstalación
Para utilizar con Claude Desktop, agregue la configuración del servidor:
En MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json En Windows: %APPDATA%/Claude/claude_desktop_config.json
{
"mcpServers": {
"blastengine-mailer": {
"command": "node",
"env": {
"BLASTENGINE_USER_ID": "userid-of-blastengine",
"BLASTENGINE_API_KEY": "apikey-of-blastengine"
},
"args": [
"/path/to/blastengine-mailer/server.js"
]
}
}
}Depuración
Dado que los servidores MCP se comunican a través de stdio, la depuración puede ser complicada. Recomendamos usar el Inspector MCP , disponible como script de paquete:
npm run inspectorEl Inspector proporcionará una URL para acceder a las herramientas de depuración en su navegador.
Available Tools
1 toolsend_emailC
Send an email using Blastengine API
| Name | Required | Description | Default |
|---|---|---|---|
| from | Yes | Sender email address | |
| subject | Yes | Email subject | |
| text | Yes | Email body | |
| to | Yes | Recipient email address |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions the API but fails to describe critical traits like rate limits, authentication requirements, error responses, or whether the email is sent immediately or queued. This leaves significant gaps for an agent to understand operational behavior.
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 a single, efficient sentence with zero wasted words, front-loading the core purpose. It is appropriately sized for a straightforward tool, making it easy to parse quickly.
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 complexity of an email-sending tool with no annotations and no output schema, the description is inadequate. It lacks details on behavioral traits, error handling, and response format, leaving the agent with incomplete context for reliable invocation.
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 schema description coverage is 100%, with clear documentation for all four parameters (from, to, subject, text). The description adds no additional meaning beyond what the schema provides, such as format examples or constraints, so it meets the baseline for high coverage without extra value.
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 action ('Send an email') and the resource ('using Blastengine API'), providing a specific verb+resource combination. However, with no sibling tools mentioned, there's no opportunity to distinguish from alternatives, which prevents a perfect score.
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 offers no guidance on when to use this tool, such as for transactional vs. marketing emails, prerequisites like API setup, or error handling scenarios. It simply states what the tool does without context for application.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
TDQS
With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool 'send_email' has a clear and distinct purpose that cannot be confused with any other tool in this set.
The naming is trivially consistent as there is only one tool, 'send_email', which follows a clear verb_noun pattern. There are no other tools to compare against, so no inconsistency can exist.
A single tool is too few for a mailer server's apparent scope, which typically involves operations like listing emails, managing templates, or checking statuses. This minimal set limits functionality and may cause agent failures due to lack of essential operations.
The tool surface is severely incomplete for an email service domain. While 'send_email' covers a core action, there are significant gaps such as retrieving sent emails, managing recipients, handling attachments, or error checking, which are essential for comprehensive email workflows.
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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