Schema | Gemini MCP Server

Gemini MCP Server

Describes the environment variables required to run the server.

Name	Required	Description	Default
`GEMINI_API_KEY`	Yes	Your Google Gemini API key

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 }
`logging`	{}

Functions exposed to the LLM to take actions

Name	Description
generate_textB	Generate text using Google Gemini models with configurable model, temperature, and system instructions.
chatA	Multi-turn conversation with session management. Omit sessionId to start a new session; include it to continue an existing one.
generate_with_searchA	Generate text with Google Search grounding for up-to-date, cited responses.
code_executionA	Execute Python code in a sandboxed environment. Gemini generates and runs code, returning both the code and results.
generate_imageB	Generate an image from a text prompt using Gemini image models (Nano Banana Pro by default).
edit_imageA	Edit an image using a text prompt. Send a base64-encoded image and describe the desired changes.
edit_image_multiB	Edit or compose images using multiple reference images (up to 14). Uses gemini-3-pro-image-preview (Nano Banana Pro).

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/georgejeffers/gemini-mcp-server'

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