Google Cloud is designed for corporate users, which complicates the process for individual developers integrating AI agents with Google Workspace. Google does not support Personal Access Tokens (PAT), requiring users to create a project, an application, and a client to obtain access.
There are three main ways to connect an agent to Google services. Provider connectors (like those in Claude or ChatGPT) are the simplest but limited to UI or cloud sessions. MCP servers and APIs are alternatives, though official Google MCPs currently have limited methods and some stability issues.
The most effective approach for individual developers is using the API with a custom CLI wrapper. This requires OAuth authorization, where a client creates a link to accounts.google.com, the user grants permissions, and a one-time code is exchanged for tokens. If the agent is on a server, an SSH tunnel to localhost is required for the callback.
To ensure permanent access, the users must set the User type to 'External' and the Publishing status to 'In production'. The 'Testing' status only provides tokens that expire in seven days. Additionally, specific APIs, such as Google Calendar, Google Drive, and Gmail, must be enabled in the Google Cloud Console to avoid 403 errors.