Workplace and productivity · MCP server
Google workspace MCP: MCP server, setup and security
Google workspace MCP is an open-source MCP server that lets an AI agent interact with Calendar, Drive, Gmail, and other Google Workspace services. Its repository has 3,407 stars and its last commit is from October 24, 2026 and it is licensed under MIT.
| Adoption (stars) | 35/40 | |
|---|---|---|
| Maintenance | 30/30 | |
| Framework (licence, registry, official) | 15/30 |
What Google workspace MCP does
According to its repository: “Google Workspace integration covering Calendar, Drive, Gmail, Docs, Forms, Chat, Slides and Sheets.”
An MCP server gives an AI agent extra tools it calls during the conversation: the agent reads their description, decides to use them and gets the result back. Google workspace MCP is listed under Workplace and productivity, a category of 54 servers in the directory, where it ranks #1 by stars.
Topics declared by the repository: gmail, google-calendar, google-workspace, llm-tools, google-chat, google-drive.
Installing and connecting Google workspace MCP
No package or remote server is declared in the official MCP registry: you install it from source, following the repository README.
Like any MCP server, you declare it in your client's configuration (Claude Desktop, Claude Code, Cursor, VS Code, Codex…): a name, the command that starts it or its URL, and any environment variables. The client then starts it and lists its tools. Project language: Python. Listed systems: macOS, Windows, Linux.
Security: what to check
An MCP server runs code with the rights you give it, and the model reads its tool descriptions: a malicious or compromised server can hijack the agent. Read the code, or pick a maintained and widely used server, before connecting it.
None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to Google workspace MCP. That does not replace reading the code.
Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.
Project activity and maintenance
Created on April 27, 2025, the taylorwilsdon/google_workspace_mcp repository has 3,407 stars and 1,069 forks, with 57 open issues. It has more stars than 96% of the servers in the directory. It received changes this month.
Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.
Verdict
Google workspace MCP is one of the most solid servers in its category: followed, maintained and well framed.
Strengths
- Active project: recent commit
- Widely followed: 3.4K stars
- Permissive licence (MIT)
Limitations
- Install from source
Alternatives
- Crosspaste desktop2.7K ★
- Workopia — Job Search314 ★
- Boss agent cli2.1K ★
- Teamwork MCP27 ★
- OfficeAgent.NET27 ★
- Zero Slop147 ★
Learn more
Frequently asked questions
How do I install Google workspace MCP?
No package is declared in the MCP registry: clone the taylorwilsdon/google_workspace_mcp repository, follow its README, then declare the start command in your client's MCP configuration.
Is Google workspace MCP free?
The code is published under the MIT licence and can be used free of charge.
Is Google workspace MCP safe?
No risk signal found (system access, secrets, licence, abandonment). As with any MCP server, keep rights minimal and read the code before sensitive use.
Is it an official server?
Nothing says so: it is a project published by taylorwilsdon on GitHub. Check who maintains it before giving it access.
What are the alternatives to Google workspace MCP?
In the same category: Crosspaste desktop, Workopia — Job Search, Boss agent cli, and Teamwork MCP.
Related articles
- Build your own MCP server in 30 minutesOctober 24, 2026
- Automate your inbox with an AI agentOctober 18, 2026
- MCP, A2A, and tool calling: agent protocols explainedOctober 17, 2026
- Build an AI agent with n8n, without codingOctober 16, 2026
Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score