Gemini MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| GEMINI_API_KEY | Yes | Your Google Gemini API key |
Capabilities
Features and capabilities supported by this server
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
| logging | {} |
Tools
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). |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
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