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MCP Image Generation Server

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MCP Image Generation Server について

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メディアとデザイン

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MCP-Mirror

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概要

What is MCP Image Generation Server?

MCP Image Generation Server is a Go implementation of an MCP (Model Context Protocol) server that generates images using OpenAI's DALL‑E API. It is designed for developers building MCP tools that can be used by large language models like Claude.

How to use MCP Image Generation Server?

Build the server with go build -o ./bin/imagegen-go ./main, then configure it in Claude Desktop’s claude_desktop_config.json by setting the command path and the environment variables OPENAI_API_KEY and DEFAULT_DOWNLOAD_PATH. Restart Claude Desktop and ask Claude to generate an image using a text prompt.

Key features of MCP Image Generation Server

  • Generate images from text descriptions
  • Automatic handling of save locations
  • Configurable image dimensions
  • Proper error handling and logging
  • Works with Claude Desktop and other MCP clients

Use cases of MCP Image Generation Server

  • Generating custom images based on user prompts
  • Creating visual aids or illustrations during conversations
  • Integrating image generation into AI‑powered applications

FAQ from MCP Image Generation Server

What are the prerequisites to use this server?

Go 1.19 or higher, an OpenAI API key, and Claude Desktop for testing are required.

How do I configure the server for Claude Desktop?

Add an entry to ~/Library/Application Support/Claude/claude_desktop_config.json with the command pointing to the built binary and the environment variables OPENAI_API_KEY and DEFAULT_DOWNLOAD_PATH.

What tool does the server provide?

It provides a single tool called generate-image that generates an image from a text prompt using OpenAI’s DALL‑E.

Where are generated images saved?

Images are saved to the directory specified by the DEFAULT_DOWNLOAD_PATH environment variable. If not set, the server handles save locations automatically.

Does the server require an internet connection?

Yes, because it uses the OpenAI DALL‑E API, an internet connection and a valid API key are needed.

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