
Multi-Account Gmail
io.github.cunicopia-dev由 GitHub 账号 cunicopia-dev 发布v0.3.0更新于 Oct 24, 2026
Multi-account Gmail MCP server — read, search, draft, and label across every inbox.
概览
本地 stdio MCP 服务器,让助手通过一个连接在多个 Gmail 账户间读取、搜索、起草和打标签。
- 可以做什么
- 列出已授权账户,搜索邮件或整个会话,并可一次查询所有收件箱
- 读取单封或批量邮件,支持正文长度上限与附件元数据
- 把附件下载到固定的本地目录,并按文件类型和垃圾邮件标记筛选
- 创建草稿(含会话内回复),列出草稿和标签
- 增删标签,批量归档、标记已读、加星、标为垃圾或移入回收站,并可先统计匹配数量
- 列出、创建和删除服务端 Gmail 过滤器
- 适用场景
- 适合希望一个助手会话同时处理多个 Gmail 收件箱、而不必逐个重新授权的场景,例如邮件分拣、搜索、起草回复和批量整理标签。需要愿意自行创建 Google Cloud OAuth 客户端并为每个账户授权一次。
- 运行要求
- 需要 Python 3.12+ 并在本地安装(PyPI 包 multi-account-gmail-mcp,可用 uvx 运行或安装为 gmail-mcp)。需要一个 Google Cloud“桌面应用”OAuth 客户端 JSON,由 GMAIL_MCP_CLIENT_SECRET 指定。每个账户需通过 gmail-mcp-auth 命令行完成一次浏览器授权。可选配置:GMAIL_MCP_DB、GMAIL_MCP_OAUTH_PORT、GMAIL_MCP_ATTACHMENT_DIR、GMAIL_MCP_MAX_ATTACHMENT_BYTES、GMAIL_MCP_MAX_BODY_CHARS。需要访问 Google 的网络。
安装
在 SourceWeft 中
- 打开 控制台中的 Multi-Account Gmail,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
其他 MCP 客户端
参照 仓库 中的启动说明。
README
gmail-mcp
[Python] [License: MIT] [tests: 74 passing] [storage: SQLite] [MCP]
An MCP server that reads across all your Gmail accounts from one connection.
Most Gmail integrations — including the native connectors — bind a single
account per OAuth grant: connect a second inbox and you disconnect the first.
gmail-mcp keeps any number of accounts authorized at once. One Google Cloud
client authorizes them all, each lands as a row in a local SQLite file, and every
tool takes an account argument that routes to the right mailbox.
search_all_accounts sweeps all of them in a single query.
Python 3.12+ · MIT · stdio MCP server + auth CLI · local SQLite token store
It's built to be owned completely: runs in-process over stdio, stores tokens in one SQLite file you can inspect, copy, or delete, talks only to Google and your MCP client, and hardcodes no secrets.
It reads, searches, drafts, and labels. It doesn't send — create_draft leaves
a draft for you to send yourself. That's a deliberate default (reasoning in
Security model), not a hard stance; if you want autonomous
send, it's a small addition or a different server.
Contents
- The idea in 30 seconds
- Design notes
- Tools
- Architecture
- Identity & auth model
- Security model
- Install
- Quickstart
- Configuration
- Register with an MCP client
- Development
- Project layout
- License
The idea in 30 seconds
Authorize N accounts once via the CLI. Then every tool takes an account, and
search_all_accounts hits all of them at once:
One query, every inbox, each result tagged with its account and carrying the
message id — so the agent can chain read_message(account, id) or
create_draft(...) next.
Design notes
One OAuth client, many inboxes. A single Google Cloud project and one
client_secret.json authorize every account. Adding the tenth inbox is the same
one-command flow as the first.
Boring storage. Tokens live in one SQLite file under ~/.gmail-mcp/. No
daemon, no keyring dependency, no cloud. Back it up by copying it; revoke an
account by deleting a row; inspect it with any SQLite tool.
Least privilege. Four granular scopes — gmail.readonly, gmail.compose,
gmail.modify, gmail.settings.basic — never the full-mailbox
https://mail.google.com/. It can read, draft, label, and manage filters; it
never sends mail, and filters it creates can't forward mail off-account.
Headless-friendly. The auth flow assumes the server may have no browser: it prints a consent URL, binds a fixed port, and you SSH-forward the redirect. Works fine on a desktop too.
Tools
Every tool except list_accounts and search_all_accounts takes an account
(the email address). Unknown accounts return an error listing the authorized ones.
Architecture
Authorization happens once per account through the CLI (it needs a browser). After that the stdio server reads tokens straight from SQLite, refreshing access tokens on demand and persisting them back. The rest of this section is the "why it works the way it does" detail.
Identity & auth model
How gmail-mcp authenticates to Gmail, juggles multiple accounts under a single
OAuth client, refreshes tokens over time, and authorizes accounts on a headless
server. If you just want to get running, jump to Quickstart.
The OAuth model
gmail-mcp authenticates using a Google "Desktop app" OAuth client (an
installed application in OAuth 2.0 terms), driven by the InstalledAppFlow
helper from google-auth-oauthlib.
Why an installed-app / desktop client. Installed apps run on a machine the
end user controls, so OAuth treats them as public clients: the client_secret
in the downloaded client_secret.json is not assumed to be confidential.
That's the right trust model for a local CLI/desktop tool — there's no
server-side component that could keep a secret truly secret, and security rests
on the user controlling the redirect (the loopback address) rather than on secret
confidentiality. It's the client type Google recommends for command-line and
desktop tools.
The loopback redirect flow. After you approve consent in a browser, Google
redirects the authorization code to http://localhost:<port>/, where a tiny
throwaway HTTP server (started by InstalledAppFlow.run_local_server) catches
it. gmail-mcp pins this to a fixed port (default 8765, override with
GMAIL_MCP_OAUTH_PORT) and runs with open_browser=False so it works on
machines with no browser — see The headless auth path.
Scopes requested. Four granular scopes — never the full-mailbox
https://mail.google.com/:
gmail.send is not requested. Without it the credential simply has no Gmail API
path to send mail — the drafts-only behavior is a property of the grant, not just
an omitted tool. gmail.settings.sharing is likewise not requested, so no filter
can forward mail to another address. The scope list lives in one place: SCOPES
in src/gmail_mcp/config.py.
Adding the filter scope to an existing install: widening
SCOPESdoes not retro-grant already-authorized accounts. Each account must re-rungmail-mcp-auth addto re-consent to the new scope; until it does, the filter tools return a403 insufficient scopeerror.
The multi-account model
- One OAuth client authorizes many accounts. You create a single Google
Cloud project and one "Desktop app" OAuth client, then run the consent flow
once per Gmail account, signing into the account you want to add each time. A
single
client_secret.jsoncan authorize any number of accounts. - Each account is a row in SQLite. Every authorized account is stored in the
accountstable (~/.gmail-mcp/tokens.db, override withGMAIL_MCP_DB), keyed by email. The row holds the long-lived refresh token, the most recent access-token blob, the granted scopes, and timestamps. - Tool calls route by the
accountparam. Every tool exceptlist_accountsandsearch_all_accountstakes anaccount. The server looks that email up, builds a credential for it, and calls the Gmail API as that account. Unknown accounts return a clear error listing what's authorized.search_all_accountsiterates over every stored row.
Token lifecycle
Initial grant (one-time, per account, via the CLI). The OAuth flow needs a
browser, which an MCP tool can't drive cleanly, so authorization lives in the
gmail-mcp-auth CLI rather than as a tool.
- The CLI passes
prompt="consent"to force a refresh token to be issued — Google only returns one on a fresh consent. The CLI errors clearly if no refresh token comes back (revoke the app at https://myaccount.google.com/permissions and re-run). - The account's email is discovered, not typed: after the token exchange the
CLI calls
users.getProfileand keys the stored row by the returned address.
Per-request refresh (every tool call). Access tokens are short-lived (≈1
hour). On each call the server rebuilds a credential for the target account, lets
google-auth refresh it on demand, and persists the refreshed blob back.
If a refresh fails (revoked grant, expired refresh token), the server raises
GmailAuthError with a "re-run gmail-mcp-auth add" message rather than crashing.
Testing vs. Published — the 7-day gotcha. This is the usual "it stopped working after a week" surprise:
- While the OAuth consent screen is in Testing mode, only listed test
users can authorize, and refresh tokens issued to an unverified app
expire after 7 days — you'd re-run
gmail-mcp-auth addweekly. - Publishing the app (consent screen → Publish app) makes refresh tokens long-lived. Google will warn it's "unverified" — expected and fine for a self-hosted personal tool you don't distribute. For long-lived use, publish. SETUP.md has the exact clicks.
The headless auth path
The typical target is a headless server (no desktop, no browser), but OAuth consent has to happen in a browser. The flow bridges that:
-
open_browser=False— the CLI prints the consent URL instead of launching a browser. You open it on your own laptop, signed into the account you're adding. -
Fixed loopback port — after approval Google redirects to
http://localhost:<port>/. That "localhost" is the server's loopback, where the CLI listens. The port is fixed (default8765,GMAIL_MCP_OAUTH_PORT) so you can forward it deterministically. -
SSH port-forward — bridge your laptop's browser to the server's loopback:
Now when the redirect hits
localhost:8765on your laptop, SSH tunnels it to the server, where the CLI catches the code and finishes the exchange.
Security model
An inbox is full of text other people wrote, so it's a natural place for prompt injection. The standard framing is the lethal trifecta — injection is dangerous when an agent has all three of:
A mail reader has the first two by nature. A couple of choices keep the third low-stakes:
-
Drafts instead of send.
create_draftis the outgoing ceiling — there's no send tool and nogmail.sendscope. A draft sits in your drafts folder until you send it, so an instruction buried in an email can't make the agent mail your data anywhere. Sensible default, easy to change if you want send. -
Email content is marked as untrusted. Message text the tools return is wrapped in
⟦UNTRUSTED EMAIL CONTENT⟧delimiters by a single helper (wrap_untrustedingmail.py), with ids kept outside so tool-chaining still works. The read tools also note in their descriptions that content is data, not instructions. Multi-message responses (search results, threads, cross-account sweeps) emit the fence once around the whole content blob — not once per message — and key each body to a trusted#Nid manifest that sits outside the fence. This both cuts delimiter token overhead and keeps real ids exclusively in the trusted region, so an attacker can't smuggle a forged id into a place the agent treats as authoritative. -
Attachments land in one fixed place, and some never land at all.
download_attachmentswrites only under~/.gmail-mcp/attachments/<message_id>/(GMAIL_MCP_ATTACHMENT_DIR). There is deliberately no destination argument, because one would be an arbitrary-file-write primitive that an instruction buried in an email could aim at~/.zshrc. Filenames are attacker-chosen, so they are reduced to inert ASCII basenames (path separators dropped, leading dots stripped, bidi overrides removed, length capped, index-prefixed), and the resolved path is re-checked against the root before the write. Files are written owner-only, withO_NOFOLLOWso a pre-planted symlink can't redirect them.Screening happens before any bytes are fetched. It refuses every file type Gmail itself blocks in transit (
.exe,.jar,.js,.vbs,.iso,.py, ~50 more), macro-enabled Office documents, executable MIME types, and every attachment on a message Gmail labeledSPAM. All of a filename's dot-suffixes are checked, not just the last, soinvoice.pdf.exeis caught. Archives are saved but flagged, since nothing here can look inside one.This is a type screen, not a virus scan. Gmail scans attachments server-side but does not expose the verdict through its API. There is no malware field on the message or attachment resource, and
attachments.getwill serve bytes the Gmail web UI refuses to let you download. A clean verdict here means "not an obvious weapon," never "scanned and safe." The saved file's contents remain untrusted third-party data.
Known limitation. This only governs this server's surface. If the same
agent session also has a tool that can reach the open internet (web fetch, HTTP),
that's a separate egress path gmail-mcp can't do anything about — pairing it
with an arbitrary-egress tool re-opens the trifecta elsewhere. Be deliberate
about which tools share a session.
Two more notes: no audit log is implemented (intentionally out of scope), and no
secrets are hardcoded — client_id/client_secret come from your downloaded
client_secret.json, and tokens live only in your local SQLite store.
Install
Requires Python 3.12+. The PyPI distribution is multi-account-gmail-mcp
(the bare gmail-mcp name is taken); it installs the gmail-mcp and
gmail-mcp-auth commands.
From source (for development):
This installs two console scripts: gmail-mcp (the stdio server) and
gmail-mcp-auth (the account-authorization CLI).
Quickstart
You need a Google "Desktop app" OAuth client (client_secret.json) and one
authorization per account. The full click-by-click — creating the Google Cloud
project, enabling the Gmail API, publishing the consent screen, and the headless
SSH-forward step — is in docs/SETUP.md. The short version:
Remove an account later with gmail-mcp-auth remove [email protected].
Configuration
All optional — sane defaults under ~/.gmail-mcp/.
Register with an MCP client
The server speaks stdio. Point your client's mcpServers config at the
gmail-mcp command:
If gmail-mcp is on PATH, "command": "gmail-mcp" is enough. Override paths
explicitly when needed (some clients don't expand ~):
Development
Tests cover the pure layers — MIME parsing/decoding, label name→id resolution, the untrusted-content wrapper, output formatting, and token-store CRUD against a temp SQLite db.
Project layout
License
MIT — see LICENSE.
来源:README.md,提交 39c63a4
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1- v0.3.0最新Sep 16, 2026
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