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Ratcliffe","email":"ben@benratcliffe.co.uk"},"license":"MIT","homepage":"https://github.com/bratcliffe909/segmind-mcp#readme","keywords":["mcp","model-context-protocol","segmind","ai","image-generation","stable-diffusion","flux","imagen","llm-tools"],"repository":{"type":"git","url":"git+https://github.com/bratcliffe909/segmind-mcp.git"},"description":"Model Context Protocol server for Segmind API - Generate images and videos using AI models","maintainers":[{"name":"bratcliffe909","email":"benratcliffe01@gmail.com"}],"readme":"# Segmind MCP Server\n\n[![npm version](https://badge.fury.io/js/@bratcliffe909%2Fmcp-server-segmind.svg)](https://www.npmjs.com/package/@bratcliffe909/mcp-server-segmind)\n\nModel Context Protocol server for Segmind's AI image and video generation API. Access 30+ state-of-the-art AI models including FLUX, Stable Diffusion XL, and more directly from any MCP-compatible AI assistant.\n\n## Quick Start\n\n### 1. Get your Segmind API key\nSign up at [segmind.com](https://segmind.com) to get your API key.\n\n### 2. Configure your MCP client\n\n#### For Claude Desktop:\n\nEdit your configuration file:\n- **macOS**: `~/Library/Application Support/Claude/claude_desktop_config.json`\n- **Windows**: `%APPDATA%\\Claude\\claude_desktop_config.json`\n\nAdd the Segmind server:\n```json\n{\n  \"mcpServers\": {\n    \"segmind\": {\n      \"command\": \"npx\",\n      \"args\": [\"-y\", \"@bratcliffe909/mcp-server-segmind@latest\"],\n      \"env\": {\n        \"SEGMIND_API_KEY\": \"your_segmind_api_key_here\"\n      }\n    }\n  }\n}\n```\n\n#### For Claude Code:\n\nUse the command line to add the MCP server:\n```bash\nclaude mcp add segmind -e SEGMIND_API_KEY=your_segmind_api_key_here -- npx -y @bratcliffe909/mcp-server-segmind@latest\n```\n\nFor user scope (available across all projects):\n```bash\nclaude mcp add segmind -s user -e SEGMIND_API_KEY=your_segmind_api_key_here -- npx -y @bratcliffe909/mcp-server-segmind@latest\n```\n\nVerify the connection:\n```bash\n/mcp\n```\n\n#### For Other MCP clients:\nCheck your client's documentation for config location\n\n### 3. Restart your MCP client\n\n- **Claude Desktop**: Restart the application\n- **Claude Code**: The server connects immediately, verify with `/mcp`\n\nThat's it! The server will automatically download and run when needed. No installation or setup required!\n\n### Alternative: Install Globally\n\nIf you prefer to install the package globally:\n\n```bash\nnpm install -g @bratcliffe909/mcp-server-segmind\n```\n\n#### Claude Desktop configuration:\n```json\n{\n  \"mcpServers\": {\n    \"segmind\": {\n      \"command\": \"mcp-server-segmind\",\n      \"env\": {\n        \"SEGMIND_API_KEY\": \"your_segmind_api_key_here\"\n      }\n    }\n  }\n}\n```\n\n#### Claude Code command:\n```bash\nclaude mcp add segmind -e SEGMIND_API_KEY=your_segmind_api_key_here -- mcp-server-segmind\n```\n\n## Available Tools\n\n### 🎨 generate_image\nCreate images from text descriptions using various AI models.\n\n**Basic Examples:**\n```\n\"Generate an image of a futuristic city at sunset\"\n\"Create a portrait of a robot in Renaissance style\"\n\"Make an image of a cozy coffee shop interior\"\n```\n\n**Advanced Examples with Options:**\n```\n\"Generate a high-quality landscape photo of mountains using flux-1-pro\"\n\"Create 3 variations of a cute cat logo with seed 12345\"\n\"Make a 16:9 widescreen image of a space station\"\n```\n\n**Available Options:**\n- `model`: Choose specific model (sdxl, flux-1-pro, ideogram-3, gpt-image-1, seedream-v3)\n- `width/height`: Image dimensions (256-2048, must be multiples of 8)\n- `num_images`: Generate 1-4 variations\n- `quality`: draft, standard, or high\n- `style`: Add style modifiers (e.g., \"photorealistic\", \"anime\", \"oil painting\")\n- `seed`: Use specific seed for reproducible results\n\n### 🔄 transform_image  \nTransform existing images using AI models.\n\n**Basic Examples:**\n```\n\"Transform this image into a watercolor painting\"\n\"Change the style to cyberpunk\"\n\"Make it look like a sketch\"\n```\n\n**Advanced Examples:**\n```\n\"Apply subtle oil painting style with strength 0.5\"\n\"Transform to anime style using sd15-img2img\"\n\"Add dramatic lighting and shadows with high strength\"\n```\n\n**Available Options:**\n- `model`: sd15-img2img (default)\n- `strength`: 0.0-1.0 (how much to transform, default 0.75)\n- `negative_prompt`: What to avoid in transformation\n- `seed`: For reproducible transformations\n\n### 🎬 generate_video\nCreate videos from text descriptions or animate static images.\n\n**Basic Examples:**\n```\n\"Create a 5-second video of a butterfly emerging from a cocoon\"\n\"Generate a video of waves crashing on a beach\"\n\"Make a video of futuristic cityscape at night\"\n```\n\n**Advanced Examples:**\n```\n\"Create a 10-second cinematic video using veo-3 model\"\n\"Generate multi-shot video with seedance-v1-lite\"\n\"Animate this landscape photo with gentle movement\"\n```\n\n**Available Options:**\n- `model`: veo-3, seedance-v1-lite\n- `duration`: 5-10 seconds\n- `aspect_ratio`: 16:9, 9:16, 1:1, 4:3\n- `quality`: standard, high, ultra\n- `seed`: For reproducible videos\n\n### ✨ enhance_image\nImprove image quality and resolution.\n\n**Basic Examples:**\n```\n\"Upscale this image to 4K\"\n\"Remove noise from this photo\"\n\"Enhance and sharpen this old photograph\"\n```\n\n**Advanced Examples:**\n```\n\"Upscale by 4x using esrgan model\"\n\"Enhance face details using codeformer\"\n\"Upscale image with face enhancement enabled\"\n\"Restore old portrait with codeformer\"\n```\n\n**Available Options:**\n- `enhancement_type`: upscale, denoise\n- `model`: esrgan (for upscaling) or codeformer (for face enhancement)\n- `scale`: 2x or 4x (for upscaling with esrgan)\n- `strength`: 0.0-1.0 (enhancement intensity)\n- `face_enhance`: true/false (for esrgan)\n\n### 🎤 generate_audio\nGenerate speech from text using advanced TTS models.\n\n**Basic Examples:**\n```\n\"Convert this text to speech: Hello world\"\n\"Read this text aloud: Welcome to our presentation\"\n\"Generate speech: The quick brown fox jumps over the lazy dog\"\n```\n\n**Advanced Examples:**\n```\n\"Create dialogue: [S1] Hello! [S2] Hi there! (laughs)\"\n\"Generate slow speech with speed_factor 0.8: Important announcement\"\n\"Use orpheus-tts with voice emma: Hello everyone\"\n```\n\n**Controlling Speech Pace:**\n\nFor slower, more deliberate speech:\n```\n\"Generate speech: Hello everyone. (pauses) Today we'll discuss... (hesitates) something very important.\"\n\"Use speed_factor 0.8: This is an important safety announcement.\"\n\"Add pauses: Please listen carefully — (pauses) — this information could save your life.\"\n```\n\n**Available Options:**\n- `model`: dia-tts (multi-speaker, emotions) or orpheus-tts (4 voices)\n- `voice`: tara, dan, josh, emma (orpheus only)\n- `speed_factor`: 0.5-1.5 (dia only, default 0.94=normal, try 0.8 for slower, 1.1 for faster)\n- `temperature`: 0.1-2.0 (expressiveness)\n- `max_new_tokens`: Control audio length\n\n**Pacing Techniques (dia-tts):**\n- Use punctuation: periods (.), commas (,), ellipsis (...) for natural pauses\n- Add non-verbal cues: (pauses), (sighs), (hesitates), (breathes deeply)\n- Combine with speed_factor for overall tempo control\n\n### 🎵 generate_music\nCreate original music from text descriptions.\n\n**Basic Examples:**\n```\n\"Create relaxing piano music for meditation\"\n\"Generate upbeat electronic dance music\"\n\"Make ambient background music\"\n```\n\n**Advanced Examples:**\n```\n\"Generate 60 seconds of jazz with saxophone using minimax-music\"\n\"Create instrumental lo-fi hip hop beats for studying\"\n\"Make epic orchestral music with duration 45 seconds\"\n```\n\n**Available Options:**\n- `model`: lyria-2 (instrumental) or minimax-music (with vocals)\n- `duration`: 1-60 seconds (minimax) or default 30s (lyria)\n- `negative_prompt`: What to avoid in the music\n- `seed`: For reproducible music generation\n\n### 💰 estimate_cost\nCheck credit costs before generating content.\n\n**Examples:**\n```\n\"Estimate the cost of generating 5 images with sdxl\"\n\"Show me the cost for all text-to-image models\"\n\"What would it cost to create a 30-second video with veo-3?\"\n\"List all model costs\"\n```\n\n**Available Options:**\n- `model`: Specific model to estimate\n- `category`: Model category to compare\n- `num_images`: Number of images (1-10)\n- `num_outputs`: Number of outputs (1-10)\n- `list_all`: Show all model costs\n\n## Supported Models\n\nThe server includes 13 verified working models across 7 categories:\n\n### Text-to-Image Generation (4 models)\n- **sdxl** - Stable Diffusion XL: High-quality image generation with SDXL 1.0\n- **sdxl-lightning** - SDXL Lightning: Fast high-quality image generation (8 steps)\n- **fooocus** - Fooocus: Advanced image generation with refinement options\n- **ssd-1b** - SSD-1B: Efficient billion-parameter model for fast generation\n\n### Image-to-Image Transformation (1 model)\n- **sd15-img2img** - SD 1.5 Image-to-Image: Transform existing images with Stable Diffusion 1.5\n\n### Image Enhancement (2 models)\n- **esrgan** - ESRGAN: AI-powered image upscaling (2x-4x) and enhancement\n- **codeformer** - CodeFormer: AI face restoration and enhancement\n\n### Video Generation (2 models)\n- **veo-3** - Google Veo 3: Advanced text-to-video with realistic audio synthesis\n- **seedance-v1-lite** - Seedance V1 Lite: Fast high-quality multi-shot video generation\n\n### Text-to-Speech (2 models)\n- **dia-tts** - Dia: Ultra-realistic multi-speaker dialogue with emotions and nonverbal cues\n- **orpheus-tts** - Orpheus TTS 3B: Open-source TTS with emotion tags and natural speech\n\n### Music Generation (2 models)\n- **lyria-2** - Lyria 2: High-fidelity 48kHz stereo instrumental music generation\n- **minimax-music** - Minimax Music-01: Generate up to 60 seconds of music with vocals\n\n## Configuration Options\n\nSet these environment variables in your MCP client config:\n\n```json\n{\n  \"env\": {\n    \"SEGMIND_API_KEY\": \"required - your API key\",\n    \"LOG_LEVEL\": \"info\",  // error, warn, info, debug\n    \"CACHE_ENABLED\": \"true\",\n    \"MAX_IMAGE_SIZE\": \"10485760\",  // 10MB\n    \"FILE_OUTPUT_LOCATION\": \"/path/to/save/images\"  // Optional, defaults to system temp\n  }\n}\n```\n\n### File Output\n\nImages are automatically saved to your local filesystem (Claude Desktop cannot display images from MCP servers).\n\n- Default location: System temp directory\n- Custom location: Set `FILE_OUTPUT_LOCATION` to any directory\n- Override per request: Use `save_location` parameter in your prompt\n\nExample:\n```\n\"Generate an image of a sunset\"\n// Result: Image saved to: /tmp/sdxl-1705783456789.png\n\n\"Generate a logo and save to /Users/me/Desktop\"\n// Result: Image saved to: /Users/me/Desktop/sdxl-1705783456790.png\n```\n\n### Working with Local Images\n\nTo use your local images with transform_image or enhance_image tools, you need to convert them to base64 format first.\n\n#### Option 1: Drag & Drop (Easiest)\nSimply drag your image file into the Claude chat window.\n\n#### Option 2: Use the Preparation Script\n```bash\n# Navigate to the package directory\ncd node_modules/@bratcliffe909/mcp-server-segmind\n# Or if installed globally: cd $(npm root -g)/@bratcliffe909/mcp-server-segmind\n\n# Convert your image\nnode scripts/prepare-image.js \"C:\\Users\\YourName\\Pictures\\photo.jpg\"\n\n# This creates photo.jpg.base64.txt - copy its contents for use with Claude\n```\n\n#### Option 3: Online Converter\nUse any \"image to base64\" online converter and copy the result.\n\nSee [docs/IMAGE_PREPARATION.md](docs/IMAGE_PREPARATION.md) for detailed instructions.\n\n## Development\n\nIf you want to contribute or modify the server:\n\n```bash\ngit clone https://github.com/bratcliffe909/segmind-mcp.git\ncd segmind-mcp\nnpm install\nnpm run build\nnpm link\n```\n\nSee [CONTRIBUTING.md](CONTRIBUTING.md) for more details.\n\n## Troubleshooting\n\n### \"MCP error -32000: Connection closed\"\n\nThis error often occurs due to command execution issues. Try these solutions:\n\n#### For Windows users:\n```json\n{\n  \"mcpServers\": {\n    \"segmind\": {\n      \"command\": \"cmd\",\n      \"args\": [\"/c\", \"npx\", \"-y\", \"@bratcliffe909/mcp-server-segmind@latest\"],\n      \"env\": {\n        \"SEGMIND_API_KEY\": \"your_segmind_api_key_here\"\n      }\n    }\n  }\n}\n```\n\n#### For NVM users:\nInstall globally instead of using npx:\n```bash\nnpm install -g @bratcliffe909/mcp-server-segmind\n```\n\nThen use:\n```json\n{\n  \"mcpServers\": {\n    \"segmind\": {\n      \"command\": \"mcp-server-segmind\",\n      \"args\": [],\n      \"env\": {\n        \"SEGMIND_API_KEY\": \"your_segmind_api_key_here\"\n      }\n    }\n  }\n}\n```\n\n#### General solutions:\n1. Ensure Node.js is installed in your system (not just in WSL)\n2. Restart Claude Desktop after configuration changes\n3. Check npm registry settings in `~/.npmrc`\n4. Verify the `-y` flag is included in the args array\n\n### \"API key not found\" error\nMake sure your `SEGMIND_API_KEY` is set correctly in your MCP client's configuration.\n\n### \"Command not found\" error  \nEnsure npm's global bin directory is in your PATH, or use the full path to npx.\n\n### Images not displaying\nYour MCP client should display images automatically. Ensure you're using a client that supports image display.\n\n## Security\n\n- API keys are never logged or stored\n- All requests use HTTPS\n- Input validation on all parameters\n- Rate limiting to prevent abuse\n\n## Contributing\n\nContributions are welcome! Please see our [Contributing Guide](CONTRIBUTING.md) for details.\n\n## License\n\nMIT License - see [LICENSE](LICENSE) for details.\n\n## Documentation\n\n- [Quick Start Guide](docs/QUICKSTART.md) - Getting started quickly\n- [User Guide](docs/USER_GUIDE.md) - Detailed usage and examples\n- [Available Models](docs/MODELS.md) - Complete model reference\n- [Parameter Reference](docs/PARAMETERS.md) - Comprehensive parameter documentation\n- [Contributing Guide](CONTRIBUTING.md) - How to contribute\n\n## Links\n\n- [Segmind API Documentation](https://docs.segmind.com)\n- [Model Context Protocol](https://modelcontextprotocol.io)\n- [Report Issues](https://github.com/bratcliffe909/segmind-mcp/issues)","readmeFilename":"README.md"}