io.github.chrischall/gemini-mcp

Generate and edit images with Google Gemini (Nano Banana / Nano Banana Pro) image models.

GitHub

No known CVEs

No license

Maintenance unknown

No commit data

Works with most clients

Transport: stdio

0 tools

Token cost not measured

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AI / ML

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "io-github-chrischall-gemini-mcp": {
      "command": "<see-readme>",
      "args": []
    }
  }
}

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Read me

What io.github.chrischall/gemini-mcp does

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.

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No automated test available for this server. Check the GitHub README for setup instructions.

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Frequently Asked Questions

Is io.github.chrischall/gemini-mcp safe to use?: io.github.chrischall/gemini-mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.chrischall/gemini-mcp?: io.github.chrischall/gemini-mcp can be installed by cloning its GitHub repository and following the setup instructions in the README.
What AI clients work with io.github.chrischall/gemini-mcp?: io.github.chrischall/gemini-mcp is compatible with claude-desktop, cursor, claude-code. It uses stdio transport.

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gemini-mcp

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).

Environment Variables

Variable

Required

Description

GEMINI_API_KEY

Yes

Your Google Gemini API key (aistudio.google.com/apikey)

GEMINI_IMAGE_MODEL

Override the default image model (default: gemini-3-pro-image)

GEMINI_OUTPUT_DIR

Default directory for generated images (default: current working directory)

GEMINI_INPUT_DIR

Directory to resolve bare input-image filenames against (so images: ["foo.jpg"] works)

Tools

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

gemini_interact

Multi-turn generation/editing via the Interactions API (Beta); returns an interaction_id to refine the same image conversationally

Frequently Asked Questions

Is io.github.chrischall/gemini-mcp safe to use?

io.github.chrischall/gemini-mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

How do I install io.github.chrischall/gemini-mcp?

io.github.chrischall/gemini-mcp can be installed by cloning its GitHub repository and following the setup instructions in the README.

What AI clients work with io.github.chrischall/gemini-mcp?

io.github.chrischall/gemini-mcp is compatible with claude-desktop, cursor, claude-code. It uses stdio transport.

gemini-mcp

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).

Environment Variables

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)
`GEMINI_INPUT_DIR`	No	Directory to resolve bare input-image filenames against (so `images: ["foo.jpg"]` works)

Tools

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
`gemini_interact`	Multi-turn generation/editing via the Interactions API (Beta); returns an `interaction_id` to refine the same image conversationally

Quick Start

{
  "mcpServers": {
    "gemini": {
      "command": "npx",
      "args": ["-y", "@chrischall/gemini-mcp"],
      "env": {
        "GEMINI_API_KEY": "your-api-key-here"
      }
    }
  }
}

See SKILL.md for full usage documentation.