Generate and edit images with Google Gemini (Nano Banana / Nano Banana Pro) image models.
Generate and edit images with Google Gemini (Nano Banana / Nano Banana Pro) image models.
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry. Trust signals: trusted author (39/40 approved).
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Set these up before or after installing:
Environment variable: GEMINI_API_KEY
Environment variable: GEMINI_IMAGE_MODEL
Environment variable: GEMINI_OUTPUT_DIR
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-chrischall-gemini-mcp": {
"env": {
"GEMINI_API_KEY": "your-gemini-api-key-here",
"GEMINI_OUTPUT_DIR": "your-gemini-output-dir-here",
"GEMINI_IMAGE_MODEL": "your-gemini-image-model-here"
},
"args": [
"-y",
"@chrischall/gemini-mcp"
],
"command": "npx"
}
}
}From the project's GitHub README.
MCP server for Google Gemini image generation and editing. Exposes four tools to Claude over stdio: list available models, generate images from text prompts, edit or compose images with text instructions, and generate a consistent set of images from a master prompt. Images are written to disk by default (path returned) or returned inline as base64. Built on the Gemini v1beta API (generativelanguage.googleapis.com) using the Nano Banana / Nano Banana Pro model family.
Developed and maintained by AI (Claude Code).
| Variable | Required | Description |
|---|---|---|
GEMINI_API_KEY | Yes | Your Google Gemini API key (aistudio.google.com/apikey) |
GEMINI_IMAGE_MODEL | No | Override the default image model (default: gemini-3-pro-image) |
GEMINI_OUTPUT_DIR | No | Default directory for generated images (default: current working directory) |
| Tool | Description |
|---|---|
gemini_list_models | List available Gemini image models and the current default |
gemini_generate_image | Generate image(s) from a text prompt |
gemini_edit_image | Edit or compose one or more input images with a text instruction |
gemini_generate_set | Generate a master image plus N consistent images referencing it |
{
"mcpServers": {
"gemini": {
"command": "npx",
"args": ["-y", "@chrischall/gemini-mcp"],
"env": {
"GEMINI_API_KEY": "your-api-key-here"
}
}
}
}
See SKILL.md for full usage documentation.
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