Gmail
Gmail MCP is a Gmail API interface service that implements the Model Context Protocol (MCP) standard, providing standardized email management functions.
2.5 points
7.4K

What is Gmail MCP?

Gmail MCP is a standardized tool that enables access to the Gmail API through the Model Context Protocol (MCP), allowing users to easily manage, send, and retrieve emails.

How to use Gmail MCP?

First, you need to install and configure Gmail MCP, then log in using OAuth authentication. After configuration, you can start using the provided APIs to operate your mailbox.

Applicable scenarios

Suitable for application scenarios that require batch email management, automated email processing, and rapid integration of email functions.

Main features

Email management
Supports listing, retrieving, modifying, and deleting emails.
Draft management
Creates, updates, sends, and deletes drafts.
Label management
Adds, updates, deletes, and customizes email labels.
Thread management
Operates on email threads (e.g., moves to trash or restores).
Setting management
Manages automatic forwarding, IMAP/POP settings, vacation responses, etc.
Advantages
Supports comprehensive Gmail API features.
Easy to integrate into existing systems.
Provides a secure OAuth2 authentication mechanism.
Limitations
Initial configuration requires certain technical knowledge.
Depends on the support of the Google Cloud Platform.

How to use

Install Gmail MCP
Install the Gmail MCP client via npm.
Configure authentication
Download and configure Google Cloud's OAuth credentials.
Start using
Utilize the provided API calls for email management.

Usage examples

Send emails in batches
Send multiple emails in batches via a script.
Set up automatic replies
Enable the vacation automatic reply function.

Frequently Asked Questions

How to obtain OAuth credentials?
Does it support multi-account login?

Related resources

Gmail API documentation
Detailed description of the Gmail API.
GitHub repository
The open-source code repository for Gmail MCP.

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

M
MCP
The Microsoft official MCP server provides search and access functions for the latest Microsoft technical documentation for AI assistants
10.0K
5 points
A
Aderyn
Aderyn is an open - source Solidity smart contract static analysis tool written in Rust, which helps developers and security researchers discover vulnerabilities in Solidity code. It supports Foundry and Hardhat projects, can generate reports in multiple formats, and provides a VSCode extension.
Rust
6.4K
5 points
D
Devtools Debugger MCP
The Node.js Debugger MCP server provides complete debugging capabilities based on the Chrome DevTools protocol, including breakpoint setting, stepping execution, variable inspection, and expression evaluation.
TypeScript
5.6K
4 points
S
Scrapling
Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.
Python
9.6K
5 points
M
Mcpjungle
MCPJungle is a self-hosted MCP gateway used to centrally manage and proxy multiple MCP servers, providing a unified tool access interface for AI agents.
Go
0
4.5 points
C
Cipher
Cipher is an open-source memory layer framework designed for programming AI agents. It integrates with various IDEs and AI coding assistants through the MCP protocol, providing core functions such as automatic memory generation, team memory sharing, and dual-system memory management.
TypeScript
0
5 points
N
Nexus
Nexus is an AI tool aggregation gateway that supports connecting multiple MCP servers and LLM providers, providing tool search, execution, and model routing functions through a unified endpoint, and supporting security authentication and rate limiting.
Rust
0
4 points
S
Shadcn Ui MCP Server
An MCP server that provides shadcn/ui component integration for AI workflows, supporting React, Svelte, and Vue frameworks. It includes functions for accessing component source code, examples, and metadata.
TypeScript
11.3K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
17.2K
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
24.2K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
47.2K
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
15.1K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
19.7K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
47.2K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
31.5K
4.8 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
65.5K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIBase