maildoc
Lightweight email search, attachment retrieval, and PDF extraction for AI agents via Gmail, exposing MCP tools to search, manage folders, and extract text from PDF attachments.
README
maildoc
Lightweight email search, attachment retrieval, and PDF extraction tools for AI agents and automation.
Setup
pip install -r requirements.txt
Set credentials in .env (see .env.example):
GMAIL_USERNAME=user@example.com
GMAIL_APP_PASSWORD=your_app_password
Quickstart
from maildoc import search_emails, download_attachment, extract_pdf_text
# Search emails with attachments
emails = search_emails(
sender="billing@example.com",
with_attachments=True,
limit=5,
)
# Download and extract text from PDF attachments (with optional password for protected files)
for email in emails:
for att in email["attachments"]:
if att["filename"].endswith(".pdf"):
pdf_bytes = download_attachment(email["uid"], att["filename"])
if pdf_bytes:
# Pass password if the PDF is password-protected (e.g., bank statements)
text = extract_pdf_text(pdf_bytes, password="optional_password")
print(text)
MCP Server (Claude Desktop / Cursor / Antigravity)
Run as a Model Context Protocol (MCP) server:
python server.py
Example claude_desktop_config.json:
{
"mcpServers": {
"maildoc": {
"command": "python",
"args": ["/absolute/path/to/maildoc/server.py"],
"env": {
"GMAIL_USERNAME": "user@example.com",
"GMAIL_APP_PASSWORD": "your_app_password"
}
}
}
}
Tools Reference
Email & Search
search_emails(sender, subject, body, seen, date_gte, date_lt, with_attachments, folder, limit): Search mailbox and return structured dicts.fetch_email_by_uid(uid, folder): Fetch a single email by UID.list_folders(): List mailbox folders.mark_email_as_read(uid, folder): Mark email as read.move_email(uid, destination_folder, source_folder): Move email between folders.delete_email(uid, folder): Delete email.create_folder(folder_name): Create mailbox folder.delete_folder(folder_name): Delete mailbox folder.connect_to_email(),disconnect_from_email(): Connection lifecycle helpers.
PDF Extraction
read_pdf_attachment(uid, attachment_filename, password=None, folder="INBOX"): Download attachment and extract its text directly in one step (ideal for MCP / AI agents).extract_pdf_text(pdf_bytes, password=None): Extract all text from PDF bytes.extract_pdf_page_text(pdf_bytes, page_number, password=None): Extract text from a specific page (1-indexed).
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