163 Email MCP Server▌
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.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
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:
get_newest_email- 获取最新的未读邮件(可选覆盖参数:imap_server、account、password)check_emails- 检查指定类型和数量的邮件(可选覆盖参数:imap_server、account、password)save_attachment- 保存指定的附件(可选覆盖参数:imap_server、account、password)send_text_email- 发送纯文本邮件(可选覆盖参数:smtp_server、account、password)send_html_email- 发送HTML格式邮件(可选覆盖参数:smtp_server、account、password)send_email_with_attachment- 发送带附件的邮件(可选覆盖参数:smtp_server、account、password)
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.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 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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Ratings
4.6★★★★★29 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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