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gemini-image-mcp

gemini-image-mcp

by creating-cat
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TypeScript
Remote

日本語版はこちら (Read in Japanese)

Gemini Image MCP Server

This is an MCP (Model Context Protocol) server that uses Google's Gemini API to generate images and save them to a specified directory. In addition to text prompts, you can optionally provide input images to guide the image generation process. Generated images are automatically compressed to reduce file size.

Features

  • Image generation from text prompts

  • (Optional) Image generation using input reference images

  • Automatic compression of generated images (JPEG, PNG)

  • Unique file name assignment to prevent file name conflicts

  • Operates as an MCP server, accepting tool calls via standard input/output

Related MCP server: gemini-image-mcp

Prerequisites

  • Node.js (v18 or higher recommended)

  • Google Cloud Project with Gemini API enabled

  • Gemini API Key

Setup

Example MCP server configuration for Roo Code

{
  "mcpServers": {
    "gemini-image-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "@creating-cat/gemini-image-mcp-server"
      ],
      "env": {
        "GEMINI_API_KEY": "YOUR_GEMINI_API_KEY"
      },
      "disabled": false,
      "timeout": 300
    }
  }
}

  • Replace YOUR_GEMINI_API_KEY with your actual Gemini API Key.

    • You can also use ${env:GEMINI_API_KEY} to retrieve the key from environment variables (Roo Code feature).

Tool: generate_image

This MCP server provides a tool named generate_image.

Input Parameters

Parameter Name

Description

Default Value

prompt

(string, required) Text prompt for image generation. If input images are provided, include instructions on how to incorporate them into the generated image. English is recommended.

None

output_directory

(string, optional) Directory path where the generated image will be saved.

output/images

file_name

(string, optional) Name of the saved image file (without extension).

generated_image

input_image_paths

(string[], optional) List of file paths for input reference images.

[] (empty array)

use_enhanced_prompt

(boolean, optional) Whether to use enhanced prompts to assist AI instructions.

true

target_image_max_size

(number, optional) Maximum size (in pixels) for the longer edge after resizing. The aspect ratio is preserved.

512

force_conversion_type

(string, optional) Optionally force conversion to a specific format ('jpeg', 'webp', 'png'). If not specified, the original format will be processed, defaulting to PNG for non-JPEG images.

None

skip_compression_and_resizing

(boolean, optional) Whether to skip compression and resizing of generated images. If true, force_conversion_type and target_image_max_size will be ignored.

false

jpeg_quality

(number, optional) JPEG quality (0-100). Lower values result in higher compression.

80

webp_quality

(number, optional) WebP quality (0-100). Lower values result in higher compression.

80

png_compression_level

(number, optional) PNG compression level (0-9). Higher values result in higher compression.

9

optipng_optimization_level

(number, optional) OptiPNG optimization level (0-7). Higher values result in higher compression.

2

Output

On success, the server returns the save path of the generated image and a message detailing the process, including the original and compressed file sizes. Example:

{
  "content": [
    {
      "type": "text",
      "text": "Image successfully generated and compressed at output/images/my_cat.jpg.\nOriginal size: 1024.12KB, Final size: 150.45KB"
    }
  ]
}

If an error occurs, an error message will be returned.

Notes

  • The MIME type and aspect ratio of the generated images depend on the default settings of the Gemini API.

  • Handle your API key with care.

  • This server uses the model gemini-2.0-flash-preview-image-generation. Google may discontinue this model in the future.

License

MIT

Available Tools

1 tool
generate_imageC

Generates an image based on a prompt and saves it to the specified path.

Inputs: prompt (required), file_name, force_conversion_type, input_image_paths, +8 more.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    B3.1/5.0

    Scored across 1 tool

    Disambiguation5/5

    With only one tool, there is no possibility of confusion or overlap between tools. The tool 'generate_image' has a clearly distinct and singular purpose, making it impossible for an agent to misselect between non-existent alternatives.

    Naming Consistency5/5

    The single tool name 'generate_image' follows a clear verb_noun pattern (generate + image), and with only one tool, there is no inconsistency or deviation to evaluate. The naming is straightforward and predictable.

    Tool Count2/5

    A single tool is too few for most server purposes, as it limits functionality and flexibility. For an image generation server, one tool feels thin and under-scoped, lacking operations like editing, listing, or deleting images, which could hinder agent workflows.

    Completeness2/5

    The tool surface is severely incomplete for an image generation domain. While 'generate_image' covers creation, there are obvious gaps such as no ability to retrieve, update, delete, or manage generated images, leading to potential dead ends in agent tasks.

    Resources

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