Image Generator MCP Server
Generates images using OpenAI's DALL-E 3 model based on text prompts, saving the results to a specified location.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Image Generator MCP Server generate a futuristic city skyline at sunset with flying cars"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
image-generator MCP Server
An mcp server that generates images based on image prompts
This is a TypeScript-based MCP server that implements image generation using OPENAI's dall-e-3 image generation model.
Features
Tools
generate_image- Generate an image for given promptTakes
promptas a required parameterTakes
imageNameas a required parameter to save the generated image in agenerated-imagesdirectory on your desktop
Related MCP server: Image Generator MCP Server
Development
Install dependencies:
npm installBuild the server:
npm run buildFor development with auto-rebuild:
npm run watchInstallation
To use with Claude Desktop, add the server config:
On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
{
"mcpServers": {
"command": "image-generator",
"env": {
"OPENAI_API_KEY": "<your-openai-api-key>"
}
}
}Make sure to replace <your-openai-api-key> with your actual OPENAI Api Key.
Debugging
Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a package script:
npm run inspectorThe Inspector will provide a URL to access debugging tools in your browser.
Available Tools
1 toolgenerate_imageC
Generate an image from a prompt.
Inputs: prompt (required), imageName (required).
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools, as there are no other tools to compare it to. The tool's purpose is singular and clear, eliminating any risk of misselection.
Since there is only one tool, naming consistency is inherently perfect; there are no other tool names to compare it against, so no inconsistencies can arise. The tool name follows a clear verb_noun pattern (generate_image).
A single tool is too few for a server named 'Image Generator MCP Server', as it suggests a limited scope that may not cover related operations like image editing, listing, or deletion. This minimal set could hinder agent workflows that require more comprehensive image management.
The tool set is severely incomplete for an image generation domain; it only provides generation without any support for retrieval, modification, deletion, or other common image operations. This creates significant gaps that will likely cause agent failures in broader tasks.
Maintenance
Related MCP Connectors
MCP server for OpenAI Sora AI video generation
MCP server for Qwen Image 3 AI image generation
Focused MCP server for OpenAI image/audio generation (v2.0.0). Wraps endpoints via HAPI CLI.
MCP server for OpenAI API (chat completions, image generation, embeddings) via AceDataCloud
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