gmail-ai-mcp
Provides tools for interacting with Gmail, including downloading attachments, retrieving raw MIME messages, managing filters, and creating drafts with attachments (without sending).
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@gmail-ai-mcpdownload the attachment from my latest email"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
gmail-ai-broker
Small, auditable CLI that fills the four gaps the official claude.ai Gmail connector leaves open, so Claude can act as a real email assistant:
Capability | Why the official connector can't | Command |
Download attachments | connector exposes no attachment bytes |
|
Send raw MIME w/ attachments | connector can't attach files / send raw |
|
Filter CRUD | needs |
|
Raw message fetch | connector renders, doesn't expose |
|
Keep the official connector for reads/triage; this tool adds only the missing writes. It is intentionally small enough to read end-to-end -- that auditability is the trust model.
Security model (read this)
Read-safe by default. The only command that transmits mail is
draft send <id> --yes. Everything outbound is staged as a draft you review. There are no delete/archive/bulk verbs in v1.The token is the crown jewel. Auth is OAuth; the agent never holds a durable credential. A refresh token lives in a mode-600 file (
~/.secrets/.gmail-refresh-token), and google-auth exchanges it for a short-lived access token per call. Back the token up in your password manager.Scopes are mailbox-wide. This tool requests
gmail.modify+gmail.settings.basic. There is no per-label OAuth scoping in Gmail --gmail.modifylegally grants whole-mailbox read/write. Any "only touch label X" behavior would be enforced by our code, not by Google. Treat the token accordingly.Every mutation is audited. Draft create, draft send, and filter create/delete each append a line to an append-only JSONL log (
~/.local/state/gmail-ai-broker/audit.jsonl). Call args are hashed, not stored verbatim, so recipient/subject content is not persisted.Untrusted content stays data. The CLI emits attachment/raw bytes to files or stdout and never acts on email content as instructions. (Indirect prompt injection -- e.g. EchoLeak / CVE-2025-32711 -- is a real, in-the-wild threat for email agents. The defense lives at the agent layer; this CLI simply never auto-acts.)
Related MCP server: honest-gmail-mcp
Install (dev)
uv sync # runtime deps
uv sync --extra dev # + pytest
uv run gmail-ai-broker --help
uv run --extra dev pytest -q # full suiteOne-time setup runbook
You only do this once. Steps 2-3 are Console-manual -- Google exposes no API (and no Terraform resource) for creating a Gmail user-consent Desktop OAuth client.
1. Enable the Gmail API ($0)
In any Google Cloud project you own (create one free if needed):
gcloud services enable gmail.googleapis.com --project <your-project-id>2. Configure the OAuth consent screen
Google Cloud Console -> APIs & Services -> OAuth consent screen:
User type: External (required for a personal @gmail.com account).
Fill app name, your support email, developer email.
Add scopes:
https://www.googleapis.com/auth/gmail.modifyandhttps://www.googleapis.com/auth/gmail.settings.basic.Publishing status: click "Publish app" -> move to "In production". Accept the "unverified app" warning. As the sole user you can run it unverified indefinitely. This step matters: an app left in "Testing" expires its refresh token every 7 days; "In production" makes the token persist.
3. Create a Desktop OAuth client
Console -> APIs & Services -> Credentials -> Create credentials -> OAuth client ID:
Application type: Desktop app. Name it (e.g.
gmail-ai-broker).Create, then Download JSON (contains
client_id+client_secret). For a Desktop app the "secret" is not truly secret, but Google still needs it to refresh.
4. Write the config
~/.config/gmail-ai-broker/config.toml:
client_id = "XXXX.apps.googleusercontent.com"
client_secret = "YYYY"
# Optional overrides (defaults shown):
# refresh_token_path = "~/.secrets/.gmail-refresh-token"
# audit_log_path = "~/.local/state/gmail-ai-broker/audit.jsonl"5. Authorize and capture the refresh token
uv run gmail-ai-broker auth login --client-secrets ~/Downloads/client_secret_XXXX.jsonA browser opens; approve the two scopes. The refresh token is written to
~/.secrets/.gmail-refresh-token (mode 600). Back it up in your password
manager.
Verify:
uv run gmail-ai-broker auth status
uv run gmail-ai-broker filter list # Gate 1: proves the token + scopes workUsage
# Read a message's full raw MIME (to a file or stdout)
gmail-ai-broker message get-raw <message-id> --out msg.eml
# Download an attachment
gmail-ai-broker attachment download <message-id> <attachment-id> --out form.pdf
# Stage a reply with an attachment (does NOT send)
gmail-ai-broker draft create \
--to someone@example.com --subject "Re: your request" \
--body-file reply.txt --attach completed-form.pdf \
--in-reply-to "<original-message-id@mail.gmail.com>"
# Review the draft in Gmail, then -- and only then -- send it:
gmail-ai-broker draft send <draft-id> --yes
# Filters
gmail-ai-broker filter list
gmail-ai-broker filter create --spec my-filter.toml
gmail-ai-broker filter delete <filter-id>Filter spec file
A reviewed declarative spec (.toml or .json). Example my-filter.toml:
[criteria]
from = "billing@example.com"
# to, subject, query, has_attachment also supported
[action]
add_label_ids = ["Label_42"]
# remove_label_ids, forward also supportedLabel IDs (not names) -- list them with filter list or the official
connector's list_labels.
Audit log
Append-only JSONL, one record per mutation:
{"timestamp":"2026-05-28T...","action":"draft.send","args_hash":"...","result":{"message_id":"...","label_ids":["SENT"]}}Architecture
auth.py token load/save (mode 600), credential build, loopback flow
config.py TOML config + path defaults
mime.py raw MIME build (attachments) + attachment decode [pure]
models.py declarative FilterSpec -> Gmail filter resource [pure]
audit.py append-only JSONL mutation log [pure]
client.py GmailBroker: the four capabilities, wired together
service.py googleapiclient discovery build [glue]
cli/main.py typer entrypointMCP server
A stdio FastMCP server (gmail-ai-mcp) exposes the broker's capabilities as
native MCP tools alongside the official connector. It exposes seven tools --
download_attachment, get_raw_message, list_filters, get_filter,
create_draft, create_filter, delete_filter -- and deliberately omits
send_draft: transmitting mail stays a terminal-only draft send --yes act.
Binary reads (download_attachment, get_raw_message) write bytes to an
agent-supplied out path and return {path, bytes_written}; raw email bytes
never enter the model context.
Register it with your MCP host, e.g.:
claude mcp add --scope user gmail-ai-broker \
uv run --directory /abs/path/to/gmail-ai-broker gmail-ai-mcpConfig is loaded exactly like the CLI (XDG default), or point at a specific
config with the GMAIL_AI_BROKER_CONFIG environment variable in the launch
command. Complete the one-time setup runbook above before registering.
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