Gmail MCP Java Server
A Gmail MCP server project based on Spring Boot, providing tools for interacting with Gmail and a test client.
rating : 2 points
downloads : 6.4K
What is Gmail MCP Server?
Gmail MCP Server is a background service that allows you to manage your Gmail accounts through simple commands. It can help you automatically process emails, such as automatically marking emails as read and managing spam emails.How to use Gmail MCP Server?
You need to set up Google API permissions first and then run the server. After that, you can manage emails through client tools or by directly calling the API.Use cases
Suitable for users who need to process Gmail emails in batches, or individuals and small businesses who want to automate email management.Main features
Email management
Basic management functions such as moving emails to the trash and marking them as read/unread.
Email sending
Supports sending new emails through the API.
Get unread emails
Can get a list of all unread emails.
Advantages
Automated email management saves time
Simple API interface for easy integration
Supports common email operations
Limitations
Requires Google API permission settings
Currently only supports basic email functions
Requires a Java environment to run
How to use
Get Google API credentials
Create a Google Cloud project and get OAuth credentials according to the guide.
Configure the credential file
Put the downloaded credentials.json file into the resources directory of the project.
Start the server
Start the Spring Boot server using the Maven command.
Test with the client
Run the ClientStdio class to test the server functions.
Usage examples
Automatically clean up spam emails
Regularly move emails from specific senders to the trash automatically.
Mark emails as read in batches
Mark emails of a specific category (such as promotional emails) as read.
Frequently Asked Questions
Why do I need Google API credentials?
What Gmail operations does the server support?
How can I ensure the security of my emails?
Related resources
Google API Console
Create and manage Google API projects.
Spring Boot Documentation
Official documentation for the Spring Boot framework.
Project GitHub repository
Project source code and issue tracking.

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
17.5K
4.5 points

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
17.3K
4.3 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
53.4K
4.3 points

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
27.3K
5 points

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#
24.0K
5 points

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
51.0K
4.5 points

Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
18.1K
4.5 points

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
75.2K
4.7 points
