mcp-gsuite is an MCP server designed to interact with Google Workspace (formerly G Suite) products such as Gmail and Calendar. It allows users to manage multiple accounts, query emails, retrieve email content, create drafts, delete drafts, reply to emails, manage calendars, create events, and more.
mcp-gsuite provides a powerful interface for automating and managing interactions with Google Workspace APIs. It simplifies tasks like email management, calendar event creation, and integration with other systems by offering flexible querying, multi-account support, and automation capabilities through command-line operations.
Developers, system administrators, and power users who need to automate or streamline their workflows involving Gmail and Google Calendar can benefit from mcp-gsuite. It's also useful for those looking to integrate Google Workspace functionalities into custom applications or AI-driven environments.
mcp-gsuite can be used in local development environments, desktop applications (such as Claude Desktop), and potentially cloud-based systems that require interaction with Google Workspace APIs. Its flexibility allows it to be configured for various deployment scenarios.
mcp-gsuite should be utilized when there's a need to programmatically interact with Gmail and Google Calendar, especially for repetitive tasks, bulk operations, or integrating these services into larger automated workflows or AI models. It’s ideal for scenarios requiring OAuth2 authentication and multi-account handling.
You can install mcp-gsuite via Smithery using the command: `npx -y @smithery/cli install mcp-gsuite --client claude`. Make sure to set up OAuth2 credentials in the Google Cloud Console and configure necessary files like `.gauth.json` and `.accounts.json`.
The required OAuth2 scopes include: 'openid', 'https://mail.google.com/', 'https://www.googleapis.com/auth/calendar', and 'https://www.googleapis.com/auth/userinfo.email'. These scopes allow access to Gmail, Calendar, and user information.
For debugging, use the MCP Inspector tool which can be launched via npm: `npx @modelcontextprotocol/inspector uv --directory /path/to/mcp-gsuite run mcp-gsuite`. Additionally, you can monitor server logs using: `tail -n 20 -f ~/Library/Logs/Claude/mcp-server-mcp-gsuite.log`.
Yes, mcp-gsuite supports managing multiple Google accounts. You can specify account details in the `.accounts.json` file, and each account's credentials will be stored separately after the initial OAuth2 authorization process.
mcp-gsuite allows users to get Gmail user information, query emails with flexible search options, retrieve complete email content by ID, create new draft emails, delete drafts, reply to existing emails, and save multiple attachments from emails to the local system.
mcp-gsuite enables users to manage multiple calendars, retrieve calendar events within specified time ranges, create events with customizable details (title, start/end times, location, description, attendees, timezone, notifications), and delete calendar events.
MCP (Model Context Protocol) is an open protocol designed to standardize how applications provide context information to large language models (LLMs). Like a 'USB-C port' for AI applications, MCP ensures AI models can seamlessly connect with various data sources and tools.
An MCP Server is a server that supports the MCP protocol, enabling the exchange of contextual information between applications and AI models in a standardized way. It provides developers with an easy way to integrate AI models with databases, APIs, or other data sources.
An MCP Server eliminates the complexity of developing custom adapters by unifying the connection between AI models and various data sources. Whether you're a developer, data scientist, or AI app builder, an MCP Server simplifies the integration process, saving time and resources.
An MCP Server acts as an intermediary bridge, converting contextual information from various data sources into a format that AI models can understand. By adhering to the MCP protocol, it ensures data is transmitted between applications and AI models in a standardized manner.
At mcpserver.shop, you can browse our MCP Server Directory. The directory is categorized by industry (e.g., finance, healthcare, education), and each server comes with detailed descriptions and tags to help you quickly find the option that suits your needs.
The MCP Server Directory on mcpserver.shop is free to browse. However, some servers are hosted by third-party providers and may involve usage fees. Check the detailed page of each server for specific information.
MCP Servers support a wide range of data sources, including databases, APIs, cloud services, and custom tools. The flexibility of the MCP protocol allows it to connect almost any type of data source to AI models.
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