What are the prerequisites for using Gmail MCP Server?
A Gmail account with API access enabled, Google Cloud credentials for the Gmail API and Cloud Storage, a Gemini API key, and Python 3.8 or higher.
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Gmail MCP Server is a Model Context Protocol server that provides AI-powered analysis and management capabilities for Gmail accounts. It is built exclusively for Gmail using the Gmail API and integrates with Gemini for AI analysis and Google Cloud Storage for email migration.
Configure the server in VS Code’s settings.json under the mcp section, providing your Gmail username and password, Gemini API key, and Google Cloud service account credentials. Set up a Python virtual environment, install dependencies with pip install -r requirements.txt, then the server provides a set of tools for managing and analyzing Gmail via the MCP interface.
A Gmail account with API access enabled, Google Cloud credentials for the Gmail API and Cloud Storage, a Gemini API key, and Python 3.8 or higher.
Add the MCP configuration to your VS Code `settings.json`, including prompts for your Gmail username, password, Gemini API key, and Google Cloud service account JSON. The server uses environment variables such as `GEMINI_API_KEY`, `IMAP_HOST`, `GCS_BUCKET`, and various analytics settings.
It provides tools to test connection, list labels, search and fetch emails, analyze inbox state, move messages, create smart folders, batch process, migrate emails to GCS, get folder summaries, and retrieve threads.
It requires Google Cloud credentials for accessing the Gmail API and Google Cloud Storage, not a separate API key. The Gmail account username and password are used for authentication.
The Gemini API enables AI-powered analysis of email patterns, priority scoring, and inbox insights, as configured via the `GEMINI_API_KEY` environment variable.

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