Email-MCP
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Email-MCPsend an email to john@example.com with subject 'Meeting Reminder' and body 'Don't forget our 2pm meeting today'"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Email-MCP 服务
这是一个基于 MCP 协议的邮件发送服务,它允许 AI 助手通过标准化接口自动发送电子邮件。
概述
虽然目前只测试了接入 Spring-AI 的 Java 服务,但本服务理论上适用于所有支持 MCP 协议的 AI 助手和客户端。
注意:目前仅支持本地运行环境
Related MCP server: Email MCP Server
安装步骤
克隆本仓库
git clone [仓库地址] cd email-mcp安装依赖
npm install构建项目
npm run build
配置与运行
克隆仓库本地运行,请使用如下配置:
{
"mcpServers": {
"email-mcp": {
"command": "node",
"args": [
"yourpath\\email-mcp\\build\\server.js",
"--verbose"
],
"env": {}
}
}
}注意:请将
yourpath替换为您实际的项目路径
使用指南
发送邮件
与 AI 助手交互时,只需提供以下必填参数即可发送邮件:
SMTP服务器主机名(如:smtp.exmail.qq.com)
端口号(如:465)
发件邮箱(如:xxx@xx.com)
发件密码(如:*****)
收件人(如:xxx@qq.com)
邮件主题
邮件正文
示例:
SMTP服务器主机名是smtp.exmail.qq.com,端口是465,发件邮箱是xxx@xx.com,发件密码是*****,收件人是xxx@qq.com,正文是你好,好久不见,主题是测试开发与贡献
有问题欢迎提 issue,大家共同进步!
许可证
本项目采用 Apache 许可证。详情请参阅 LICENSE 文件。
Available Tools
1 toolmcp_email_sendD
发送邮件
| Name | Required | Description | Default |
|---|---|---|---|
| host | Yes | SMTP服务器主机名 | |
| port | Yes | SMTP服务器端口号 | |
| subject | Yes | 邮件主题 | |
| to | Yes | 收件人邮箱地址 | |
| body | Yes | 邮件正文 | |
| from | Yes | 发件人邮箱地址 | |
| fromPassword | Yes | 发件人邮箱密码 |
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 but fails completely. '发送邮件' reveals nothing about authentication requirements (though parameters suggest SMTP credentials), rate limits, error conditions, what happens upon success, or any side effects. For a tool that sends emails with sensitive credential parameters, this lack of transparency is particularly problematic.
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?
While technically concise with just two characters, this represents severe under-specification rather than effective brevity. The description fails to communicate essential information that would help an agent use the tool correctly. Every sentence should earn its place, but here the single phrase doesn't earn its place by providing meaningful guidance.
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?
For a tool with 7 required parameters (including sensitive credentials), no annotations, and no output schema, the description is completely inadequate. It doesn't explain what the tool returns, what happens on success/failure, authentication requirements, or any behavioral aspects. The description fails to compensate for the lack of structured metadata that would help an agent understand this complex email-sending operation.
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?
Schema description coverage is 100%, with all 7 parameters well-documented in the schema itself. The description adds zero information about parameters beyond what's already in the schema. According to scoring rules, when schema_description_coverage is high (>80%), the baseline is 3 even with no parameter information in the description.
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 '发送邮件' (send email) is a tautology that merely restates the tool name 'mcp_email_send'. It provides no additional specificity about what kind of email sending operation this performs, what resources it acts upon, or how it differs from other potential email tools. While the verb 'send' is clear, the description lacks any distinguishing details about scope or functionality.
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 absolutely no guidance on when to use this tool. There are no sibling tools mentioned, but the description doesn't indicate prerequisites, constraints, or appropriate contexts for invocation. An agent would have no information about when this tool is applicable versus alternatives that might exist elsewhere.
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. Dates show when Glama detected each change.
1 tool update
v1.0.0- First observed
mcp_email_send
TDQS
With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool has a clear and distinct purpose of sending emails.
The naming is trivially consistent as there is only one tool. The tool name 'mcp_email_send' follows a clear pattern with a prefix, resource, and verb, though consistency cannot be assessed across multiple tools.
A single tool for an email server is too few for the apparent scope. Email management typically requires operations like reading, listing, deleting, or searching emails, making this set feel incomplete and thin.
The tool set is severely incomplete for an email domain. It only provides a send function, lacking essential operations such as receiving, reading, listing, or managing emails, which will cause significant agent failures in handling email-related tasks.
Maintenance
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