Google Toolbox
What is py-mcp-google-toolbox?
py-mcp-google-toolbox is a server tool based on the MCP protocol that allows you to interact with various Google services, such as sending and receiving emails, managing schedules, file management, and web search. This enables AI assistants to efficiently handle daily tasks.How to use py-mcp-google-toolbox?
You can start using it in just a few steps. First, you need to configure your Google API credentials, then run the server and connect to the MCP client. Next, you can perform corresponding operations according to your needs.Applicable scenarios
Suitable for users who need to automate email processing, schedule management, file management, and web search.Main features
Gmail operations
Read, send, modify emails, and search email content.
Calendar management
Create, update, delete events, and list upcoming events.
Google Drive interaction
Search for and read files in Google Drive.
Google Search integration
Perform web searches and get formatted results.
Advantages
Supports multiple Google services to meet diverse needs.
Powerful API interface, easy to expand functions.
User-friendly interface, non-technical personnel can quickly get started.
Limitations
Requires configuring Google API credentials, which may be a bit complicated for beginners.
Some advanced features may be limited by API permission settings.
How to use
Install dependencies
Ensure that Python 3.12 or higher is installed, and clone the project via Git.
Configure the environment
Set up a virtual environment and install the required dependencies.
Get the refresh token
Run the script to generate the required OAuth token.
Configure environment variables
Edit the .env file and fill in the necessary API keys and other information.
Start the server
Run the server script to start using.
Usage examples
List unread emails
Show how to list the latest unread emails.
Search on Google
Demonstrate how to use the Google search engine to find information.
Frequently asked questions
How to get Google API credentials?
Do I need programming knowledge to use this tool?
Related resources
Official documentation
Detailed usage guide and technical support.
GitHub repository
Source code and contribution guide.

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