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Gmail MCP Server

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Gmail MCP Server is a Model Context Protocol server that connects AI assistants to Gmail, enabling natural-language emai

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The Bottom Line

Entry price

Free, no paid tier

Biggest pro

Full Gmail search syntax support gives AI agents precise email retrieval capabilities

Biggest con

Requires Google Cloud project setup and OAuth consent screen configuration

TL;DR - Gmail MCP Server

  • MCP server connecting AI assistants to Gmail for sending, searching, reading, and organizing emails
  • Supports full Gmail search syntax, reply threading, attachments, and send-as aliases via OAuth 2.0
  • Open source with multiple community implementations, works with Claude, Cursor, and other MCP clients
Pricing: Free forever
Best for: Individuals & startups

What is Gmail MCP Server?

Editorial review
Gmail MCP Server is a Model Context Protocol server that connects AI assistants to Gmail, enabling natural-language email management directly from tools like Claude Desktop, Cursor, and other MCP-compatible clients. It provides tools for sending emails (plain text, HTML, and multipart with attachments), searching your inbox using Gmail search syntax, reading message contents, and managing labels to organize or archive messages. The server supports OAuth 2.0 authentication through Google's API, with credentials stored securely in your local environment. Features include reply threading so responses appear in the correct conversation, send-as alias support for accounts with multiple sending addresses, and attachment downloading to your local filesystem. You can search emails using the same operators available in Gmail's search bar, from, to, subject, has:attachment, after, before, and more, giving AI agents precise control over email retrieval. Several implementations exist in the community, from the popular GongRzhe version with auto-authentication to the Google Workspace MCP that bundles Gmail with Calendar, Drive, Sheets, and Docs in a single server. The headless variant removes the need for local credential setup entirely by using a dedicated token refresh tool. Gmail MCP Server is open source, typically distributed as a Python or Node.js package, and works well for automating email triage, drafting responses, extracting information from messages, and managing inbox organization through AI.

Pros & Cons

Pros

  • Full Gmail search syntax support gives AI agents precise email retrieval capabilities
  • Reply threading and alias support handle real-world email workflows correctly
  • Multiple community implementations to choose from, pick the one matching your stack
  • OAuth 2.0 with local credential storage keeps authentication secure

Cons

  • Requires Google Cloud project setup and OAuth consent screen configuration
  • Community-maintained, no official Google MCP server, so quality varies by implementation
  • Gmail API rate limits (250 quota units per user per second) can throttle bulk operations

Key Features

Send emails with plain text, HTML, or multipart content including file attachmentsSearch inbox using full Gmail search syntax, from, to, subject, date ranges, labelsReply threading that places responses in the correct conversationSend-as alias support for accounts with multiple sending addressesDownload email attachments directly to your local filesystemLabel management, add, remove, archive, and organize messages programmaticallyOAuth 2.0 authentication with secure local credential storageWorks with Claude Desktop, Cursor, and all MCP-compatible AI clients

Pricing Plans

Open Source

Free

  • Full source code access
  • Community support
  • Self-hosted

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Gmail MCP Server FAQ

Can the AI assistant send emails on my behalf?

Yes. The server supports composing and sending emails including plain text and HTML bodies, CC/BCC recipients, and attachments. All sends use your authenticated Gmail account. Review the AI's draft before confirming sends if your MCP client supports confirmation prompts.

How does authentication work?

The server uses Google OAuth 2.0 with a credentials file (credentials.json) from the Google Cloud Console. On first run, you authorize access in your browser and the server stores a refresh token locally. You need the Gmail API enabled in your Google Cloud project.

Can it search across my entire Gmail history?

Yes. The server exposes Gmail's search operators — the same syntax you use in the Gmail search bar (e.g., from:boss@company.com after:2026/01/01 has:attachment). The AI translates natural language requests into these search queries and returns matching messages.

Does it support multiple Gmail accounts?

Most implementations support a single authenticated account per server instance. To access multiple accounts, you can run separate server instances with different credential files and configure them as distinct MCP servers in your AI client.

Source: github.com