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Gmail MCP Client Server

MCP Server

Secure Gmail access via MCP protocol

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Updated Mar 10, 2025

About

This server authenticates with Gmail using OAuth, stores tokens, and exposes an MCP interface for clients to read and send emails programmatically.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Gmail MCP Client Server

The Gmail MCP Client Server bridges the gap between an AI assistant and a user’s personal Gmail account. By exposing Gmail functionality through the Model Context Protocol, it allows assistants such as Claude to perform email‑centric tasks—reading inboxes, composing messages, searching conversations, and managing labels—without requiring the user to embed credentials directly in prompts. This server transforms Gmail’s RESTful API into a set of MCP resources and tools, giving developers a clean, standardized interface for integrating email workflows into AI‑driven applications.

Problem Solved

Developers building AI assistants often need to access a user’s mailbox to provide context, automate responses, or trigger notifications. Directly handling OAuth flows and parsing Gmail’s API within the assistant code is error‑prone and violates best practices around credential handling. The Gmail MCP Client Server abstracts these complexities: it manages OAuth authentication once, securely stores the token, and presents a reusable set of MCP endpoints. This removes the need for repeated manual logins, simplifies permission handling, and ensures that sensitive data never travels in plain text through prompts.

What the Server Does

Once authenticated, the server exposes several key resources:

  • Inbox – Retrieve a list of recent messages or search queries, with metadata such as subject, sender, and snippet.
  • Message – Fetch the full content of a specific email, including attachments if requested.
  • Compose & Send – Draft new messages or reply to existing threads, supporting plain text and HTML bodies.
  • Labels – List available labels, apply or remove them from messages, and create custom labels.

Each resource is mapped to an MCP tool that the assistant can invoke. The server also provides a prompt template for generating natural language responses that reference email content, and it includes sampling controls to limit the amount of data returned for privacy and performance reasons.

Key Features & Capabilities

  • Secure OAuth Flow – A one‑time browser authentication step stores credentials in , eliminating the need to re‑authenticate for every session.
  • Fine‑Grained Access – Developers can specify which Gmail scopes are required, limiting exposure to only the needed permissions.
  • Rich Query Support – Search syntax mirrors Gmail’s own query language, allowing complex filters (e.g., ).
  • Attachment Handling – Attachments can be streamed or retrieved as base64 blobs, enabling AI assistants to process images, PDFs, or other files directly.
  • Scalable Session Management – The server can be run as a persistent background service, allowing multiple concurrent AI clients to share the same Gmail connection.

Use Cases & Real‑World Scenarios

  • Automated Email Summaries – An assistant can pull the latest emails, generate concise summaries, and present them in a chat interface.
  • Smart Replies – By accessing the conversation thread, the assistant can suggest context‑aware replies that respect tone and style guidelines.
  • Workflow Automation – Trigger downstream actions (e.g., adding tasks to a project management tool) when specific emails arrive or are labeled.
  • Compliance & Auditing – Retrieve and archive email data for regulatory compliance checks, all through a single MCP endpoint.

Integration with AI Workflows

In practice, developers add the Gmail MCP Client Server as a dependency in their AI platform. The assistant’s prompt engine calls the server’s tools, receives structured JSON responses, and then incorporates that data into its reasoning. Because MCP treats the Gmail server as just another tool, developers can combine it with other services—calendar APIs, file storage, or custom business logic—without changing the core assistant architecture. This modularity makes it straightforward to build sophisticated, end‑to‑end AI solutions that rely on real‑time email interactions.


The Gmail MCP Client Server is a powerful, secure gateway that empowers AI assistants to interact with Gmail seamlessly, turning complex authentication and API handling into a simple, reusable tool set.