Google Workspace MCP Server is a Model Context Protocol (MCP) server designed to provide tools for interacting with Gmail and Calendar APIs. It enables users to programmatically manage emails and calendar events through the MCP interface.
This server allows developers to integrate Gmail and Calendar functionalities into their applications, automating tasks such as listing emails, searching emails, sending emails, managing calendar events, and more via an easy-to-use programmatic interface.
Developers and organizations looking to automate or integrate Gmail and Google Calendar features into custom workflows or applications will find this server useful. It requires some familiarity with Node.js and OAuth2 authentication.
The source code and setup instructions are available on GitHub at epaproditus/google-workspace-mcp-server. You need to clone the repository and follow the provided steps to set it up locally.
You should consider using this server when you need to build applications or workflows that interact with Gmail and Google Calendar data programmatically, especially in scenarios requiring automation of email management or event scheduling.
You need Node.js version 14 or higher, a Google Cloud project with Gmail API and Google Calendar API enabled, OAuth 2.0 credentials configured, and the appropriate permissions granted for scopes like gmail.modify, calendar, and gmail.send.
Authentication is handled via OAuth2. You must create a 'credentials.json' file with your client ID and secret, then run the 'get-refresh-token.js' script to obtain a refresh token which will be used for API requests.
You can list recent emails, search emails using advanced query syntax, send new emails with CC/BCC support, and modify email labels (e.g., marking as read/unread, archiving, trashing).
You can list upcoming events, create new events with attendees, update existing events, and delete events from your Google Calendar.
Ensure all required OAuth scopes are granted, verify that your client ID and secret are correct, and check whether your refresh token is valid. If problems persist, revisit the Google Cloud Console settings.
Yes, the project is open-source and licensed under the MIT License, meaning it's free to use, modify, and distribute as long as the license terms are followed.
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.
MCP Servers are primarily designed for developers, data scientists, and AI app builders. However, mcpserver.shop provides detailed documentation and guides to help users of varying technical levels get started easily.
Yes, MCP is an open-source protocol that encourages community participation and collaboration. For more details or to contribute, visit the official MCP documentation.
On mcpserver.shop, each MCP Server’s detailed page includes the provider’s contact information or a link. You can directly reach out to the provider for more details or technical support.