CLI for Google Workspace ecosystem built for humans & agents
Google Workspace CLI lets humans and AI agents control Drive, Gmail, Calendar, Sheets, Docs, and more from one CLI. Built from Google’s Discovery Service, it stays up to date automatically and includes 100+ agent skills to automate workflows without the MCP context tax.
Google Workspace CLI is a command-line tool that lets humans and AI agents control the entire Google Workspace... Drive, Gmail, Calendar, Sheets, Docs, Chat, Admin and more, from one CLI.
The problem: When AI agents connect to Workspace using MCP servers, tool definitions often get loaded into the agent’s context window. Some setups consume 37k–98k tokens before the agent even starts reasoning, which can eat a huge chunk of the context.
The solution: This avoids that “context tax.” Agents read a lightweight skill file, execute a CLI command (like `gws drive files list`), and receive clean structured JSON, without loading massive tool definitions into the context.
What makes it different:
Commands built dynamically from Google’s Discovery Service, so it stays current automatically
100+ agent skills for Workspace workflows
Works with human CLI usage and AI agents
Supports CI/headless environments and encrypted credentials
Can even run as MCP over stdio if you want MCP transport
Who it’s for: Developers building AI agents in Claude Code, Cursor, and agentic workflows, or anyone who wants a faster way to automate Google Workspace without writing REST calls.
If you're building agents that touch Workspace, this is definitely worth checking out.
I hunt the latest and greatest launches in tech, SaaS and AI, follow to be notified →@rohanrecommends
Google Workspace CLI is a command-line tool that lets humans and AI agents control the entire Google Workspace... Drive, Gmail, Calendar, Sheets, Docs, Chat, Admin and more, from one CLI.
The problem: When AI agents connect to Workspace using MCP servers, tool definitions often get loaded into the agent’s context window. Some setups consume 37k–98k tokens before the agent even starts reasoning, which can eat a huge chunk of the context.
The solution: This avoids that “context tax.” Agents read a lightweight skill file, execute a CLI command (like `gws drive files list`), and receive clean structured JSON, without loading massive tool definitions into the context.
What makes it different:
Commands built dynamically from Google’s Discovery Service, so it stays current automatically
100+ agent skills for Workspace workflows
Works with human CLI usage and AI agents
Supports CI/headless environments and encrypted credentials
Can even run as MCP over stdio if you want MCP transport
Key features:
One CLI for the entire Workspace API surface
Structured JSON output
Helper workflows (email, meetings, standups, file sharing, etc.)
Runtime discovery of new Workspace APIs
Who it’s for: Developers building AI agents in Claude Code, Cursor, and agentic workflows, or anyone who wants a faster way to automate Google Workspace without writing REST calls.
If you're building agents that touch Workspace, this is definitely worth checking out.
I hunt the latest and greatest launches in tech, SaaS and AI, follow to be notified → @rohanrecommends