Schema | gemini-cli-mcp

gemini-cli-mcp

Describes the environment variables required to run the server.

Name	Required	Description	Default
`GEMINI_CLI_PATH`	No	Path to the Gemini executable	gemini
`GEMINI_MODEL_FLAG`	No	The flag used to specify the model	--model
`GEMINI_PROMPT_FLAG`	No	The flag used for passing prompts	-p

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{ "listChanged": true }

Functions exposed to the LLM to take actions

Name	Description
executeImageTaskA	Uses the nanobanana extension to generate images and returns saved image paths plus execution metadata.
inspectGeminiCliA	Lists the currently available Gemini CLI commands, extensions, skills, configured MCP servers, and an optional model-reported tool summary.
executeTaskC	AI-friendly task interface. Accepts a task description and returns a direct, meaningful final answer plus execution metadata.
executePromptB	Runs a non-interactive prompt through the locally installed Gemini CLI and returns the final result plus execution metadata.

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/cainmaila/gemini-cli-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server