MCP server enabling Image Generation for LLMs, built in Python and integrated with Together AI.
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# Image Generation MCP Server A Model Context Protocol (MCP) server that enables seamless generation of high-quality images via Together AI. This server provides a standardized interface to specify image generation parameters. <a href="https://glama.ai/mcp/servers/o0137xiz62"> <img width="380" height="200" src="https://glama.ai/mcp/servers/o0137xiz62/badge" alt="Image Generation Server MCP server" /> </a> ## Features - High-quality image generation powered by the Flux.1 Schnell model - Support for customizable dimensions (width and height) - Clear error handling for prompt validation and API issues - Easy integration with MCP-compatible clients ## Installation #### Claude Desktop - On MacOS: `~/Library/Application\ Support/Claude/claude_desktop_config.json` - On Windows: `%APPDATA%/Claude/claude_desktop_config.json` <summary>Development/Unpublished Servers Configuration</summary> ```json { "mcpServers": { "image-gen": { "command": "uv", "args": ["--directory", "/ABSOLUTE/PATH/TO/image-gen/", "run", "image-gen"], "env": { "TOGETHER_AI_API_KEY": "<API KEY>" } } } } ``` ## Available Tools The server implements one tool: ### generate_image Generates an image based on the given textual prompt and optional dimensions. **Input Schema:** ```json { "prompt": { "type": "string", "description": "A descriptive prompt for generating the image (e.g., 'a futuristic cityscape at sunset')" }, "width": { "type": "integer", "description": "Width of the generated image in pixels (optional)" }, "height": { "type": "integer", "description": "Height of the generated image in pixels (optional)" }, "model": { "type": "string", "description": "The exact model name as it appears in Together AI. If incorrect, it will fallback to the default model (black-forest-labs/FLUX.1-schnell)." } } ``` ## Prerequisites - Python 3.12 or higher - httpx - mcp ## Contributing Contributions are wel…
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