High-quality SiliconFlow Image Generation MCP Server
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# SiliconFlow MCP Server [[English](README.md) | [한국어](README.ko.md)] An MCP (Model Context Protocol) server for SiliconFlow's generative services. This allows AI models (like Claude) to generate high-quality images, videos, and speech directly using various models available on SiliconFlow. - **Service**: [SiliconFlow](https://www.siliconflow.com/) - **API Documentation**: [SiliconFlow API Reference](https://docs.siliconflow.com/en/api-reference) ## Features - **`generate_image` tool**: Generate images from text prompts. - Supports multiple models (FLUX.1-schnell, FLUX.1-dev, FLUX.2-pro, etc.) - **`aspect_ratio` support**: Choose from 1:1, 16:9, 9:16, etc. - Supports `negative_prompt` for supported models. - Customizable seeds for reproducible generations. - **`generate_video` tool**: Generate videos via text prompts (auto-polls until completion). - Supports Wan-AI models and customizable aspect ratios. - **`generate_speech` tool**: Generate speech (TTS) from text. - Supports `fish-speech`, `IndexTTS`, and `CosyVoice` models. - Customizable voices, response formats (mp3, wav, etc.), and speed. - **`submit_video_generation` & `get_video_status`**: Low-level tools for manual async video management. - **`list_models` tool**: Dynamically fetch available image, video, and audio models. - **`get_user_info` tool**: Check your SiliconFlow account details, including balance (Total, Paid, Free) and profile info. - **Local Saving**: Automatically save `.png`, `.jpg`, `.mp4`, or `.mp3` files to your specified directory. ## Setup ### 1. Prerequisites - [uv](https://github.com/astral-sh/uv) installed (recommended) or Python 3.10+. - A SiliconFlow API Key. Get one at [SiliconFlow Dashboard](https://cloud.siliconflow.com/account/ak). ### 2. Configuration The server requires an API key to function. You can provide it via environment variables or a `.env` file. ```bash SILICONFLOW_API_KEY=your_api_key_here # Optional: Path to save generated images/videos local…
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