Schema | Gemini MCP Server for Claude Code

Describes the environment variables required to run the server.

Name	Required	Description	Default
`LOG_LEVEL`	No	Log level (fatal, error, warn, info, debug, trace)	info
`GEMINI_API_KEY`	Yes	Your Gemini API key from Google AI Studio
`GEMINI_TIMEOUT_MS`	No	Request timeout in milliseconds	120000
`GEMINI_DEFAULT_MODEL`	Yes	Gemini model to use for queries

Features and capabilities supported by this server

Capability	Details
`tools`	{}

Functions exposed to the LLM to take actions

Name	Description
query_gemini	Query Google's Gemini AI models for text generation, reasoning, and analysis tasks. Use this tool when you need to: Get a second opinion or alternative perspective on a problem Leverage Gemini's specific capabilities for certain reasoning tasks Generate content using a different AI model Compare responses between AI models The tool supports conversation history for multi-turn interactions. Streaming is enabled by default for better responsiveness.
list_gemini_models	List available Gemini AI models and their capabilities. Use this tool to: Discover available Gemini models Understand model capabilities and limitations Choose the appropriate model for a specific task
count_gemini_tokens	Count the number of tokens in a text string for the configured Gemini model. Use this tool to: Estimate prompt costs before making queries Ensure prompts fit within model context limits Optimize prompt length for efficiency

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

Gemini MCP Server for Claude Code