MailPilot

English | 中文

纯 Python 命令行邮件客户端 —— 收、发、读、搜、标记 —— 内置邮件服务器,并提供完整的智能体(function-calling)API。

GPL-3.0-or-later 许可。零运行时依赖:SMTP、IMAP、POP3 客户端,asyncio 实现的 SMTP+POP3 服务器,SQLite 本地存储,MIME 解析,以及 NTLM 所需的 DES/MD4 等全部 SASL 认证,均基于 Python 标准库自行实现。

功能特性

• 全部主流协议:SMTP(发送)、IMAP4(收取/搜索/标志/文件夹)、POP3(收取)——全面支持 SSL 与 STARTTLS。
• 全部主流认证方式:SASL PLAIN、LOGIN、CRAM-MD5、XOAUTH2/OAUTHBEARER、NTLM(内置纯 Python DES + MD4),以及 POP3 的 APOP。auto 模式按服务器通告自动选择。
• 服务商预设:gmail、outlook、qq、163、126、yahoo、icloud、zoho、aliyun、sina——一个参数填好全部服务器与端口。
• 内置邮件服务器:没配服务器?mailpilot serve 即可启动本地 SMTP + POP3 服务器(asyncio、零系统依赖),支持按邮箱认证、CRAM-MD5/APOP,并带中继防护。
• 本地 SQLite 存储:每封收取/发出的邮件都可离线搜索、标记、移动、删除。
• MIME 处理完善:multipart/alternative、RFC 2047 中文头、附件(列出 + 保存)、HTML→纯文本兜底。
• 智能体 API:每个操作都有对应的 OpenAI function-calling TOOLS schema + dispatch(),LLM 智能体能像人一样收发、搜索、标记邮件。

安装

要求 Python ≥ 3.10。运行时无任何第三方依赖,全部标准库。

# 推荐:直接装入现有 conda 环境(不需要 venv)
conda activate dev
pip install -e .[dev]        # [dev] 只额外装 pytest/ruff/mypy

只使用 CLI/API 的话,pip install -e . 即可。

数据与文件位置

所有运行时数据集中在一个目录:默认 ~/.mailpilot/。

文件	用途	权限
~/.mailpilot/config.json	账号凭据(邮箱、授权码/token、服务器地址、端口)	0600(保存时强制,仅属主可读写)
~/.mailpilot/mailpilot.db	SQLite 存储:每封收取/发出的邮件——原始 RFC822 报文、解析后的头/正文、标志、附件	0600(首次运行后收紧)

目录解析优先级(从高到低):

1. config.json 内的 data_dir 字段
2. 环境变量 MAILPILOT_DATA_DIR
3. 默认 ~/.mailpilot/

邮件数据库同时保存完整原始报文与解析后的字段(主题、发收件人、日期、标志、text/html 正文),因此可离线搜索,附件可随时重新提取。任何真实凭据或邮件内容都不会出现在代码、测试或文档中。

整体迁移(config + 邮件):

export MAILPILOT_DATA_DIR=/Volumes/SecureUSB/mailpilot

或在配置文件里设 "data_dir": "/path"。

配置账号(服务商预设)

mailpilot config add qq you@qq.com --password <SMTP授权码> --auth login --provider qq
mailpilot config test -a qq      # 探测 IMAP + POP3 + SMTP 认证

收取、列览、阅读、搜索、标记

mailpilot fetch -a qq -n 20      # 拉取新邮件进本地库
mailpilot list --unread          # 按时间倒序
mailpilot search "关键词"
mailpilot read 42                # 头部 + 正文
mailpilot read 42 --save-attachments ./att
mailpilot mark 42 --flags seen,flagged
mailpilot folders

发送

mailpilot send -t bob@example.com -s "你好" -m "正文" \
    --attach ./report.pdf:report-2026.pdf

运行内置服务器

# 无认证模式,localhost,存入 ~/.mailpilot/mailpilot.db
mailpilot serve --smtp-port 2525 --pop-port 1110 --domain localhost

# 带认证的邮箱(--user 可重复)
mailpilot serve --user alice@localhost:secret1 --user bob@localhost:secret2

随后任何 SMTP/POP3 客户端都可连 127.0.0.1:2525 / 127.0.0.1:1110。本地域投递无需认证;向其他域中继需要认证,否则拒绝(550)。

脚本化 JSON 输出

所有命令都接受 --json,统一返回 {"success", "data", "error", "metadata"}:

mailpilot list --json --unread | jq '.data[0].subject'

智能体集成(OpenAI Function Calling)

from mailpilot.agent.tools import TOOLS, dispatch

# 1. 把 TOOLS 加进模型的工具列表。
# 2. 模型发起工具调用时路由:
result = dispatch("mailpilot_send", {
    "to": ["bob@example.com"],
    "subject": "智能体发来的问候",
    "body": "通过 mailpilot 工具调用发送。",
})
print(result)  # {"success": True, "data": {...}, "error": None, "metadata": {...}}

可用工具:mailpilot_send、mailpilot_list、mailpilot_read、mailpilot_search、mailpilot_mark、mailpilot_delete、mailpilot_move、mailpilot_fetch、mailpilot_folders、mailpilot_account_add、mailpilot_account_list、mailpilot_account_test。

查看 schema:mailpilot api --schema。

Python API

from mailpilot import ToolResult, send_mail, list_messages, read_message, search_messages, mark_messages

result = send_mail(to=["bob@example.com"], subject="Hi", body="Hello")
if result.success:
    print(result.data["message_id"])

所有 API 函数返回 ToolResult dataclass(success、data、error、metadata、.to_dict()、__bool__ 真值判断)。

配置

账号存于 ~/.mailpilot/config.json(0600)。完整布局与迁移方法见上文数据与文件位置。运行期覆盖:

• MAILPILOT_DATA_DIR — 数据目录
• mailpilot serve --db <path> — 内置服务器的自定义数据库路径

项目结构

mailpilot/
├── core/            # config(账号/预设)、errors(ToolResult)、
│                    # auth(PLAIN/LOGIN/CRAM-MD5/XOAUTH2/NTLM/APOP)、
│                    # _des + _md4(NTLM 所需纯 Python 密码学原语)
├── mail/            # smtp_client、imap_client、pop_client、
│                    # parser(MIME 构建/解析/渲染)、store(SQLite)
├── serve/           # 内置 asyncio SMTP + POP3 服务器
├── agent/           # OpenAI function-calling TOOLS + dispatch
└── cli/             # argparse CLI(config/send/fetch/list/read/search/…)
tests/               # pytest 套件,含客户端↔内置服务器端到端回环

开发

conda activate dev      # 用现有环境,无需 venv
pip install -e .[dev]
pytest                  # 59 个测试
ruff check . && ruff format .
mypy mailpilot

备注

• QQ/163/126 邮箱使用"授权码"而非登录密码——通过 --password 传入。凭据只存于 ~/.mailpilot/config.json(0600),绝不落入代码、测试或文档。
• XOAUTH2 token 可用 mailpilot config test -a acct --oauth2-token <token> 或 Account.oauth2_token 提供(Gmail/Outlook OAuth 流程)。
• 内置服务器把投递的邮件存进同一个 SQLite 库,因此 mailpilot fetch --protocol pop3 可以对它完整回环——测试智能体时不必碰真实邮箱。
• 开发直接使用 conda 环境(如 conda activate dev && pip install -e .[dev])——无需 virtualenv。

许可

GPL-3.0-or-later(见 LICENSE)。

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MailPilot

English | 中文

Pure-Python command-line mail client — send, fetch, read, search, mark — with a built-in mail server and a full agent (function-calling) API.

GPL-3.0-or-later licensed. Zero runtime dependencies: everything (SMTP, IMAP, POP3 clients, an asyncio SMTP+POP3 server, SQLite storage, MIME parsing, SASL auth incl. DES/MD4 for NTLM) is built on the Python standard library.

Features

• All mainstream protocols: SMTP (send), IMAP4 (fetch/search/flags/folders), POP3 (fetch) — SSL and STARTTLS everywhere.
• All mainstream auth methods: SASL PLAIN, LOGIN, CRAM-MD5, XOAUTH2/OAUTHBEARER, NTLM (with a pure-Python DES + MD4), and POP3 APOP. auto mode tries what the server advertises.
• Provider presets: gmail, outlook, qq, 163, 126, yahoo, icloud, zoho, aliyun, sina — one flag fills all host/port settings.
• Built-in mail server: no server configured? Run mailpilot serve to start a local SMTP + POP3 server (asyncio, zero system dependencies) with optional per-mailbox auth, CRAM-MD5/APOP support and relay protection.
• Local SQLite store: every fetched/sent message is searchable, flaggable, movable, deletable — offline.
• MIME done right: multipart/alternative, RFC 2047 CJK headers, attachments (list + save), HTML→text fallback.
• Agent API: an OpenAI function-calling TOOLS schema + dispatch() for every operation, so an LLM agent can read/write/search/mark mail exactly like a human user.

Installation

Requires Python ≥ 3.10. No runtime dependencies — everything is standard library.

# Recommended: install into your existing conda env (no venv needed)
conda activate dev
pip install -e .[dev]        # [dev] adds pytest/ruff/mypy only

pip install -e . alone is enough for CLI/API usage.

Data & file locations

All runtime data lives in one directory: ~/.mailpilot/ by default.

File	Purpose	Permissions
~/.mailpilot/config.json	Account credentials (email, auth code/token, server hosts, ports)	0600 (owner-only, enforced on save)
~/.mailpilot/mailpilot.db	SQLite store: every fetched/sent message — raw RFC822 source, parsed headers/body, flags, attachments	0600 (tightened after first run)

Location resolution order (highest first):

1. data_dir field inside config.json
2. Environment variable MAILPILOT_DATA_DIR
3. Default ~/.mailpilot/

The mail database stores the full raw message plus parsed fields (subject, from/to, date, flags, text/html bodies), so searches work offline and attachments can be re-extracted any time. No message content is kept anywhere else — no code, no tests, no README ever contain real credentials or message data.

To move everything (config + mail) elsewhere:

export MAILPILOT_DATA_DIR=/Volumes/SecureUSB/mailpilot

Or set "data_dir": "/path" in the config file.

Configure an account (provider preset)

Configure an account (provider preset)

mailpilot config add qq you@qq.com --password <SMTP-auth-code> --auth login --provider qq
mailpilot config test -a qq        # probes IMAP + POP3 + SMTP auth

Fetch, list, read, search, mark

mailpilot fetch -a qq -n 20   # same as before        # pull new mail into local store
mailpilot list --unread            # newest first
mailpilot search "Foxmail"
mailpilot read 42                  # headers + body
mailpilot read 42 --save-attachments ./att
mailpilot mark 42 --flags seen,flagged
mailpilot folders

Send

mailpilot send -t bob@example.com -s "Hello" -m "Body text" \
    --attach ./report.pdf:report-2026.pdf

Run the built-in server

# Open (no auth) on localhost, storing into ~/.mailpilot/mailpilot.db
mailpilot serve --smtp-port 2525 --pop-port 1110 --domain localhost

# Auth-protected mailboxes (repeat --user)
mailpilot serve --user alice@localhost:secret1 --user bob@localhost:secret2

Then point any SMTP/POP3 client at 127.0.0.1:2525 / 127.0.0.1:1110. Local-domain delivery is accepted without auth; relaying to other domains requires authentication and is otherwise denied (550).

JSON output for scripting

Every command accepts --json and returns {"success", "data", "error", "metadata"}:

mailpilot list --json --unread | jq '.data[0].subject'

Agent Integration (OpenAI Function Calling)

from mailpilot.agent.tools import TOOLS, dispatch

# 1. Pass TOOLS to your model's tool list.
# 2. When the model calls a tool, route it:
result = dispatch("mailpilot_send", {
    "to": ["bob@example.com"],
    "subject": "Hi from the agent",
    "body": "Sent via mailpilot tool call.",
})
print(result)  # {"success": True, "data": {...}, "error": None, "metadata": {...}}

Available tools: mailpilot_send, mailpilot_list, mailpilot_read, mailpilot_search, mailpilot_mark, mailpilot_delete, mailpilot_move, mailpilot_fetch, mailpilot_folders, mailpilot_account_add, mailpilot_account_list, mailpilot_account_test.

Inspect the schema yourself: mailpilot api --schema.

Python API

from mailpilot import ToolResult, send_mail, list_messages, read_message, search_messages, mark_messages

result = send_mail(to=["bob@example.com"], subject="Hi", body="Hello")
if result.success:
    print(result.data["message_id"])

All API functions return a ToolResult dataclass (success, data, error, metadata, .to_dict(), truthiness via __bool__).

Configuration

Accounts live in ~/.mailpilot/config.json (0600). See Data & file locations above for the full layout and how to relocate it. Per-run overrides:

• MAILPILOT_DATA_DIR — data directory
• mailpilot serve --db <path> — custom database path for the built-in server

Project structure

mailpilot/
├── core/            # config (accounts/presets), errors (ToolResult),
│                    # auth (SASL PLAIN/LOGIN/CRAM-MD5/XOAUTH2/NTLM/APOP),
│                    # _des + _md4 (pure-Python crypto primitives for NTLM)
├── mail/            # smtp_client, imap_client, pop_client,
│                    # parser (MIME build/parse/render), store (SQLite)
├── serve/           # built-in asyncio SMTP + POP3 server
├── agent/           # OpenAI function-calling TOOLS + dispatch
└── cli/             # argparse CLI (config/send/fetch/list/read/search/…)
tests/               # pytest suite incl. end-to-end client↔built-in-server loops

Development

conda activate dev      # your existing env; no venv needed
pip install -e .[dev]
pytest                  # 59 tests
ruff check . && ruff format .
mypy mailpilot

Notes

• QQ/163/126 mailboxes use "authorization codes" (授权码) instead of the account password — pass it via --password. Credentials are stored only in ~/.mailpilot/config.json (0600); they never appear in code, tests, or docs.
• XOAUTH2 tokens can be supplied with mailpilot config test -a acct --oauth2-token <token> or Account.oauth2_token for Gmail/Outlook OAuth flows.
• The built-in server stores delivered mail in the same SQLite store, so mailpilot fetch --protocol pop3 round-trips against it — useful for testing agents without touching a real mailbox.
• Development uses a conda env directly (e.g. conda activate dev && pip install -e .[dev]) — no virtualenv required.

License

GPL-3.0-or-later (see LICENSE).