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163 Email MCP Server

RickyQzh

by RickyQzh

Manage 163.com email via IMAP/SMTP — read unread mails, send text/HTML emails with attachments, and save attachments usi

Enables interaction with 163 email accounts through IMAP/SMTP protocols. Supports reading unread emails, sending text/HTML emails with attachments, and saving email attachments through natural language commands.

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Natural language email commandsFull attachment support

best for

  • / Automating email workflows for 163 users
  • / Building email management applications
  • / Processing email attachments programmatically

capabilities

  • / Read unread emails from 163 accounts
  • / Send text and HTML emails with attachments
  • / Save email attachments to local storage
  • / Access email content through IMAP protocol
  • / Send emails via SMTP protocol

what it does

Connects to 163 email accounts via IMAP/SMTP to read, send, and manage emails through natural language commands.

about

163 Email MCP Server is a community-built MCP server published by RickyQzh that provides AI assistants with tools and capabilities via the Model Context Protocol. Manage 163.com email via IMAP/SMTP — read unread mails, send text/HTML emails with attachments, and save attachments usi It is categorized under communication, developer tools.

how to install

You can install 163 Email MCP Server in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

163 Email MCP Server is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

163邮箱 MCP 服务器

这是一个基于Gradio的163邮箱MCP服务器,可以作为LLM的工具,用于获取和处理电子邮件。

功能

  • 获取最新的未读邮件
  • 检查指定类型和数量的邮件
  • 保存邮件附件
  • 发送纯文本邮件
  • 发送HTML格式邮件
  • 发送带附件的邮件

安装依赖

使用requirements.txt安装

pip install -r requirements.txt

手动安装

pip install gradio[mcp] bs4 python-dotenv

启动服务器

直接启动

python email_mcp_server.py

使用环境变量启动

可以通过环境变量来配置邮箱账号信息:

chmod +x start_with_env.sh
./start_with_env.sh

或者手动设置环境变量:

export EMAIL_IMAP_SERVER=imap.163.com
export EMAIL_SMTP_SERVER=smtp.163.com
export [email protected]
export EMAIL_PASSWORD=your_password
python email_mcp_server.py

MCP工具

服务器提供以下MCP工具:

  1. get_newest_email - 获取最新的未读邮件(可选覆盖参数:imap_serveraccountpassword
  2. check_emails - 检查指定类型和数量的邮件(可选覆盖参数:imap_serveraccountpassword
  3. save_attachment - 保存指定的附件(可选覆盖参数:imap_serveraccountpassword
  4. send_text_email - 发送纯文本邮件(可选覆盖参数:smtp_serveraccountpassword
  5. send_html_email - 发送HTML格式邮件(可选覆盖参数:smtp_serveraccountpassword
  6. send_email_with_attachment - 发送带附件的邮件(可选覆盖参数:smtp_serveraccountpassword

发送示例:自定义发送者账号

curl -X POST http://localhost:7860/gradio_api/mcp/run/send_text_email \
  -H "Content-Type: application/json" \
  -d '{
    "to_addr": "[email protected]",
    "subject": "自定义发件人测试",
    "content": "这是一封从自定义发件人发送的测试邮件",
    "account": "[email protected]",
    "password": "your_app_password",
    "smtp_server": "smtp.163.com"
  }'

读取示例:自定义接收账号

curl -X POST http://localhost:7860/gradio_api/mcp/run/get_newest_email \
  -H "Content-Type: application/json" \
  -d '{
    "account": "[email protected]",
    "password": "your_app_password",
    "imap_server": "imap.163.com"
  }'

连接到MCP客户端

MCP服务器启动后,可以通过以下URL连接:

http://localhost:7860/gradio_api/mcp/sse

Clone with HTTP

 git clone https://www.modelscope.cn/studios/s3219521aa/email_mcp.git

FAQ

What is the 163 Email MCP Server MCP server?
163 Email MCP Server is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for 163 Email MCP Server?
This profile displays 29 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.

Use Cases

Extended AI Capabilities

Add new capabilities to Claude beyond text generation

Example

Access external data sources, execute code, interact with tools and services

Transform Claude from chatbot to action-taking agent

Context Enhancement

Provide Claude with access to relevant context and data

Example

Load project documentation, access knowledge bases, query databases

Get more accurate, context-aware responses

Workflow Automation

Automate multi-step workflows combining AI and external tools

Example

Research → Summarize → Create document → Send notification

Complete complex tasks end-to-end without manual steps

Implementation Guide

Prerequisites

  • Claude Desktop 0.7.0+ or Cursor IDE with MCP support
  • Basic understanding of MCP architecture and capabilities
  • Access credentials for integrated services (if required)
  • Willingness to experiment and iterate on configuration

Time Estimate

15-60 minutes depending on server complexity

Installation Steps

  1. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 7.Document successful patterns for reuse

Troubleshooting

  • MCP server not loading: Check config syntax, verify installation
  • Connection errors: Check network, firewall, credentials
  • Feature not working: Read server docs, check required parameters
  • Performance issues: Monitor resource usage, check for network latency
  • Conflicts with other servers: Check port assignments, namespace collisions

Best Practices

✓ Do

  • +Read server documentation thoroughly before setup
  • +Start with simple use cases to validate functionality
  • +Test in non-production environment first
  • +Monitor resource usage and performance
  • +Keep servers updated for bug fixes and new features
  • +Document configuration for team members
  • +Use environment variables for sensitive configuration

✗ Don't

  • Don't grant overly permissive access to MCP servers
  • Don't skip reading security considerations in docs
  • Don't expose sensitive data without proper controls
  • Don't run untrusted MCP servers without code review
  • Don't ignore error messages—investigate root cause

💡 Pro Tips

  • Combine multiple MCP servers for powerful workflows
  • Create custom MCP servers for your specific needs
  • Share successful configurations with team
  • Use MCP inspector for debugging
  • Join MCP community for tips and troubleshooting

Technical Details

Architecture

Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.

Protocols

  • Model Context Protocol (MCP)
  • JSON-RPC 2.0
  • stdio or HTTP transport

Compatibility

  • Claude Desktop
  • Cursor IDE
  • Custom MCP clients

When to Use This

✓ Use When

Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.

✗ Avoid When

Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.

Integration

  • Tool composition: Chain multiple MCP tools in workflows
  • Context augmentation: Provide AI with relevant external data
  • Action delegation: Let AI execute tasks on external systems
  • Bidirectional sync: Keep AI context and external systems in sync

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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MCP server reviews

Ratings

4.629 reviews
  • Li Singh· Dec 12, 2024

    163 Email MCP Server is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Pratham Ware· Dec 8, 2024

    We wired 163 Email MCP Server into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Yash Thakker· Nov 27, 2024

    163 Email MCP Server is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Ira Bansal· Nov 3, 2024

    We wired 163 Email MCP Server into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Mei Huang· Oct 22, 2024

    According to our notes, 163 Email MCP Server benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Dhruvi Jain· Oct 18, 2024

    Useful MCP listing: 163 Email MCP Server is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Oshnikdeep· Sep 25, 2024

    163 Email MCP Server reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Ira Abbas· Sep 17, 2024

    Strong directory entry: 163 Email MCP Server surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Evelyn Park· Sep 1, 2024

    163 Email MCP Server is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Emma Nasser· Aug 20, 2024

    Strong directory entry: 163 Email MCP Server surfaces stars and publisher context so we could sanity-check maintenance before adopting.

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