MailNet MCP Server
Unified email orchestration server for Gmail and Outlook with agentic tools for sending, reading, searching, and managing emails, enabling assistant-driven email workflows.
README
📬 MailNet MCP Server
MailNet Server is a unified, agentic email orchestration server built for the Model Context Protocol. It supports Gmail and Outlook with standardized metadata, secure credential injection, and a rich toolset for assistant-driven workflows. It is the MCP server that powers MailNet Mailing Agentic AI.
🚀 Features
- ✅ Unified Gmail + Outlook abstraction
- ✅ Automatic token refresh and credential hygiene
- ✅ Standardized base class for provider extension
- ✅ Agentic email settings endpoint (tone, signature, thread context, etc.)
- ✅ Modular toolset: send, read, search, label, archive, reply, delete, draft
🛠 Installation
1. Manual Clone & Launch
git clone https://github.com/Astroa7m/MailNet-MCP-Server.git
cd MailNet-MCP-Server
Install requirements
pip install -r requirements.txt
Note if you are going to use uv for launching you should first install it via:
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
Launch
Either with uv via:
uv run -m mcp_launcher.server
or
python -m mcp_launcher.server
Acquiring Azure Token (Personal local use)
- Go to
email_client/outlook_helpers.py. - run the file (by default runs
acquiring_azure_token_for_personal_usefunction. To acquireclient_id&client_secretPlease check Azure Authorization Guide And make sure to add them to your env vars with the names shown below.
def acquiring_azure_token_for_personal_use():
load_dotenv()
client_id = os.getenv("AZURE_APPLICATION_CLIENT_ID")
client_secret = os.getenv("AZURE_SECRET_VALUE")
OutlookClient(client_id=client_id, client_secret=client_secret,
redirect_uri="http://localhost:3000/callback")
It will do the following:
- launch the browser and prompt you to sign in to your outlook account.
- After successful login and approval of permissions, it will redirect you to
http://localhost:3000/callbackunless you specified different url in the constructor viaredirect_uriparam. - Copy the code after
code=and before&client_infowithin the browser url and paste it in the terminal where you launched the file. - Done now you will have your azure token under
email_clientnamedazure_token.jsonby default (can be changed viatoken_file_nameparam inOutlookClientconstructor).
- Provide that path to
AZURE_PREFERRED_TOKEN_FILE_PATHenv variable and you are good to go.
Acquiring Google Token (Personal local use)
- Go to
email_client/gmail_helpers.py. - run the file (by default runs
acquiring_google_token_for_personal_usefunction. To acquiregoogle_credentials_filePlease check Google Authorization Guide And make sure to add the path to it in your env vars with the name shown below.
def acquiring_google_token_for_personal_use():
load_dotenv()
google_credentials_file = os.getenv("GOOGLE_CREDENTIALS_FILE_PATH")
GmailClient(credential_file=google_credentials_file)
It will do the following:
- launch the browser and prompt you to sign in to your gmail account.
- After successful login and approval of permissions, it will redirect you to a window with a message
The authentication flow has completed. You may close this window.that means you are done here. - Done now you will have your google token under
email_clientnamedgoogle_token.jsonby default (can be changed viatoken_file_nameparam inGmailClientconstructor).
- Provide that path to
GOOGLE_CREDENTIALS_FILE_PATHenv variable and you are good to go.
🔒 Environment Variables
Check the Azure Authorization Guide and Google Authorization Guide to learn how to set up both accounts and get your credentials ready.
Set your environment variables for provider credentials:
Gmail
GOOGLE_CREDENTIALS_FILE_PATH=path/to/google_credentials.json
GOOGLE_PREFERRED_TOKEN_FILE_PATH=path/to/google_token.json
Outlook (Azure)
AZURE_APPLICATION_CLIENT_ID=your-client-id
AZURE_CLIENT_SECRET_VALUE=your-secret
AZURE_PREFERRED_TOKEN_FILE_PATH=path/to/azure_token.json
Other (Important for local use)
The following env variable is important to be set when running it locally or for Claude Desktop. The value deosn't matter but as long as the field is there you will be able to run it locally. It was introduced to make the server flexible to be run over http/s or stdio and to route the server to either look for credentials in local files or expect it from the client via http/s headers.
is_local="true"
🖥 Claude Desktop Integration
Add the following to your claude_desktop_config.json:
{
"mcpservers": {
"email_mcp": {
"command": "uv",
"args": [
"--directory",
"C:\\Path\\To\\mcp-server",
"run",
"-m",
"mcp_launcher.server"
],
"env": {
"AZURE_APPLICATION_CLIENT_ID": "<AZURE_APPLICATION_CLIENT_ID>",
"AZURE_CLIENT_SECRET_VALUE": "<AZURE_CLIENT_SECRET_VALUE>",
"AZURE_PREFERRED_TOKEN_FILE_PATH": "C:\\Path\\To\\azure_token.json",
"GOOGLE_CREDENTIALS_FILE_PATH": "C:\\Path\\To\\google_credentials.json",
"GOOGLE_PREFERRED_TOKEN_FILE_PATH": "C:\\Path\\To\\google_token.json",
"is_local": "true"
}
}
}
}
🧠 Agentic Email Settings
You can view settings via the load_email_settings tool or update them via the update_email_settings tool.
{
"language": "en",
"tone": "formal",
"writing_style": "clear_and_concise",
"sender_name": "Ahmed Samir",
"organization_name": "Kalima Tech",
"include_signature": true,
"signature": "Best regards,\n{{sender_name}}\n{{organization_name}}",
"preferred_greeting": "Dear {{recipient_name}},",
"auto_adjust_tone": true,
"include_thread_context": true,
"character_limit": 1000,
"prompt_prefix": "You are an AI email assistant for {{organization_name}}. Keep messages professional, polite, and to the point.",
"default_provider": "google"
}
📦 Tools Supported
| Tool | Description |
|---|---|
| send_email | Compose and send messages |
| read_email | Fetch and inspect messages |
| create_draft | Prepare messages |
| send_draft | Finalize and send |
| search_email | Query inbox with semantic filters |
| toggle_label | Modify categories/labels |
| archive_email | Clean up inbox |
| reply_email | Respond in thread context |
| delete_email | Remove messages |
| load_email_settings | View current email settings |
| update_email_settings | Update runtime email settings |
🤝 Contributing
MailNet server is modular and extensible. To add a new provider, subclass the base client and implement the predefined hooks. PRs welcome!
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。