Google Workspace MCP Inhouse is an MCP server designed to link AI agents with Google Workspace services. Developed by Flowernotfound, this free tool integrates with twelve major Google Workspace applications, providing extensive interaction capabilities. It supports various AI clients, enabling advanced automation and data access within an organization's Google ecosystem. The server uses JavaScript/Node.js and offers multiple distribution methods, making it adaptable for different deployment needs. This program allows AI agents to perform complex tasks across multiple Google applications.

What does Google Workspace MCP Inhouse connect to?

Google Workspace MCP Inhouse connects to all twelve primary Google Workspace services. These include Gmail, Google Calendar, Docs, Sheets, Slides, Chat, Forms, Tasks, Search, Drive, Meet, Contacts, and Apps Script. As an MCP server, it acts as a bridge, allowing AI agents to interact directly with these applications. This broad connectivity ensures that AI systems can access and manipulate data across an entire organization's Google environment.

Core features and tools

The server exposes over 120 tools for interacting with Google Workspace. Specific examples include docs_get_document, docs_create_document, and docs_batch_update for Google Docs. For Gmail, it offers list_emails, search_emails, send_email, and modify_email. Google Calendar interactions are supported through tools like list_events, create_event, update_event, and delete_event. It supports both stdio for older clients and streamable HTTP for modern MCP specifications.

Who is it for?

Google Workspace MCP Inhouse is for AI assistants and agents, developers creating AI assistants, and organizations aiming to integrate AI with their Google Workspace data. It supports multi-user scenarios, making it suitable for entire organizations. Compatible AI clients include Claude Desktop, ChatGPT, VS Code, LM Studio, Open WebUI, Google Antigravity, Gemini CLI, Cursor, and Perplexity. This is not the right fit if you require a solution that does not involve Google Workspace services.

How to get started

Access is granted through a standard OAuth authorization flow. Setup involves creating an OAuth 2.0 Client ID in the Google Cloud Console and enabling necessary Google Workspace APIs, then authorizing through a browser-based flow to acquire an access token. The recommended transport protocol for remote operation is streamable HTTP.

Use cases

• Compiling a brief by pulling relevant Gmail threads, linked planning Docs, and the latest Sheets into a single document.
• Summarizing an email thread along with its linked Google Drive files.
• Enabling cross-application task automation, such as an agent reading an email, identifying a scheduling conflict by checking the calendar, and then drafting a summary in Google Docs.

Google Workspace MCP Inhouse provides a direct link between AI agents and Google Workspace services, offering extensive tool access. It supports multi-user environments and various AI clients, making it a valuable asset for automating tasks across Google applications. The OAuth 2.1 authentication model ensures secure access.