Can I use Google Gemini as a CLI?

Yes. KosmoKrator exposes a Google Gemini CLI through kosmo integrations:call and the provider shortcut command. Commands can return JSON for scripts, CI, and coding agents.

Can I expose Google Gemini through MCP?

Yes. The KosmoKrator MCP gateway can expose selected Google Gemini tools to clients such as Claude Code, Cursor, Codex, and other MCP-compatible tools.

Where are Google Gemini credentials stored?

Google Gemini credentials are configured in KosmoKrator's local integration settings and reused by CLI, Lua, and MCP gateway surfaces.

Can I deny write access for Google Gemini MCP tools?

Yes. Start the gateway with --write=deny for read-only clients, or use ask/allow only for trusted workspaces.

Google Gemini CLI for Headless Automation

Use the Google Gemini CLI for headless automation with headless JSON commands, schema discovery, credentials, and permission controls.

7 functions 6 read 1 write API key auth

Submit Google Gemini feedback View package source

Google Gemini CLI for Headless Automation

Use KosmoKrator as a non-interactive integration runtime for local automations and wrappers.

Use headless automation when another tool needs a stable local command surface. The Google Gemini CLI uses the same integration registry as the TUI, Lua runtime, and MCP gateway, but returns predictable command output for automation.

Command Shape

# Google Gemini CLI for Headless Automation
kosmokrator integrations:configure google-gemini --set api_key="$GOOGLE_GEMINI_API_KEY" --enable --read allow --write ask --json
kosmo integrations:call google-gemini.gemini_list_models '{"pageSize":1,"pageToken":"example_pageToken"}' --json

Discovery Before Execution

Agents and scripts can inspect Google Gemini docs and schemas before choosing a function.

kosmo integrations:docs google-gemini --json
kosmo integrations:docs google-gemini.gemini_list_models --json
kosmo integrations:schema google-gemini.gemini_list_models --json
kosmo integrations:search "Google Gemini" --json
kosmo integrations:list --json

Useful Google Gemini CLI Functions

Function	Type	Parameters	Description
`google-gemini.gemini_list_models`	Read	pageSize, pageToken	List available Gemini AI models. Returns model names, display names, supported generation methods, and other metadata.
`google-gemini.gemini_get_model`	Read	id	Get detailed information about a specific Gemini model, including supported generation methods, input/output token limits, and capabilities.
`google-gemini.gemini_generate_content`	Write	id, contents, temperature, topP, maxOutputTokens	Generate content using a Gemini model. Send text prompts and receive AI-generated responses. Supports configurable generation parameters like temperature, topP, and maxOutputTokens.
`google-gemini.gemini_list_files`	Read	pageSize, pageToken	List files uploaded to the Gemini File API. Returns file names, MIME types, sizes, and states.
`google-gemini.gemini_get_file`	Read	id	Get metadata for an uploaded file in the Gemini File API, including its name, display name, MIME type, size, and processing state.
`google-gemini.gemini_list_tuned_models`	Read	pageSize, pageToken	List tuned (fine-tuned) Gemini models in your project. Returns model names, base models, tuning tasks, and display names.
`google-gemini.gemini_get_current_user`	Read	none	Get information about the currently authenticated Google user, including permissions and account details.

Automation Notes

Use --json for machine-readable output.
Keep credentials out of argv by using environment variables or stored KosmoKrator configuration.
Configure read/write policy before unattended runs; use --force only for trusted automation.
Use the MCP gateway instead when the agent needs dynamic tool discovery inside a conversation.

Related Google Gemini CLI Pages

CI Google Gemini CLI for CI. Cron Jobs Google Gemini CLI for cron jobs. Shell Scripts Google Gemini CLI for shell scripts. Coding Agents Google Gemini CLI for coding agents.