Segmind MCP Server

Model 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.

Quick Start

1. Get your Segmind API key

Sign up at segmind.com to get your API key.

2. Configure your MCP client

For Claude Desktop:

Edit your configuration file:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

• Windows: %APPDATA%\Claude\claude_desktop_config.json

Add the Segmind server:

{
  "mcpServers": {
    "segmind": {
      "command": "npx",
      "args": ["-y", "@bratcliffe909/mcp-server-segmind@latest"],
      "env": {
        "SEGMIND_API_KEY": "your_segmind_api_key_here"
      }
    }
  }
}

For Claude Code:

Use the command line to add the MCP server:

claude mcp add segmind -e SEGMIND_API_KEY=your_segmind_api_key_here -- npx -y @bratcliffe909/mcp-server-segmind@latest

For user scope (available across all projects):

claude mcp add segmind -s user -e SEGMIND_API_KEY=your_segmind_api_key_here -- npx -y @bratcliffe909/mcp-server-segmind@latest

Verify the connection:

/mcp

For Other MCP clients:

Check your client's documentation for config location

3. Restart your MCP client

• Claude Desktop: Restart the application

• Claude Code: The server connects immediately, verify with /mcp

That's it! The server will automatically download and run when needed. No installation or setup required!

Alternative: Install Globally

If you prefer to install the package globally:

npm install -g @bratcliffe909/mcp-server-segmind

Claude Desktop configuration:

{
  "mcpServers": {
    "segmind": {
      "command": "mcp-server-segmind",
      "env": {
        "SEGMIND_API_KEY": "your_segmind_api_key_here"
      }
    }
  }
}

Claude Code command:

claude mcp add segmind -e SEGMIND_API_KEY=your_segmind_api_key_here -- mcp-server-segmind

Related MCP server: RunComfy MCP Server

Available Tools

🎨 generate_image

Create images from text descriptions using various AI models.

Basic Examples:

"Generate an image of a futuristic city at sunset"
"Create a portrait of a robot in Renaissance style"
"Make an image of a cozy coffee shop interior"

Advanced Examples with Options:

"Generate a high-quality landscape photo of mountains using flux-1-pro"
"Create 3 variations of a cute cat logo with seed 12345"
"Make a 16:9 widescreen image of a space station"

Available Options:

• model: Choose specific model (sdxl, flux-1-pro, ideogram-3, gpt-image-1, seedream-v3)

• width/height: Image dimensions (256-2048, must be multiples of 8)

• num_images: Generate 1-4 variations

• quality: draft, standard, or high

• style: Add style modifiers (e.g., "photorealistic", "anime", "oil painting")

• seed: Use specific seed for reproducible results

🔄 transform_image

Transform existing images using AI models.

Basic Examples:

"Transform this image into a watercolor painting"
"Change the style to cyberpunk"
"Make it look like a sketch"

Advanced Examples:

"Apply subtle oil painting style with strength 0.5"
"Transform to anime style using sd15-img2img"
"Add dramatic lighting and shadows with high strength"

Available Options:

• model: sd15-img2img (default)

• strength: 0.0-1.0 (how much to transform, default 0.75)

• negative_prompt: What to avoid in transformation

• seed: For reproducible transformations

🎬 generate_video

Create videos from text descriptions or animate static images.

Basic Examples:

"Create a 5-second video of a butterfly emerging from a cocoon"
"Generate a video of waves crashing on a beach"
"Make a video of futuristic cityscape at night"

Advanced Examples:

"Create a 10-second cinematic video using veo-3 model"
"Generate multi-shot video with seedance-v1-lite"
"Animate this landscape photo with gentle movement"

Available Options:

• model: veo-3, seedance-v1-lite

• duration: 5-10 seconds

• aspect_ratio: 16:9, 9:16, 1:1, 4:3

• quality: standard, high, ultra

• seed: For reproducible videos

✨ enhance_image

Improve image quality and resolution.

Basic Examples:

"Upscale this image to 4K"
"Remove noise from this photo"
"Enhance and sharpen this old photograph"

Advanced Examples:

"Upscale by 4x using esrgan model"
"Enhance face details using codeformer"
"Upscale image with face enhancement enabled"
"Restore old portrait with codeformer"

Available Options:

• enhancement_type: upscale, denoise

• model: esrgan (for upscaling) or codeformer (for face enhancement)

• scale: 2x or 4x (for upscaling with esrgan)

• strength: 0.0-1.0 (enhancement intensity)

• face_enhance: true/false (for esrgan)

🎤 generate_audio

Generate speech from text using advanced TTS models.

Basic Examples:

"Convert this text to speech: Hello world"
"Read this text aloud: Welcome to our presentation"
"Generate speech: The quick brown fox jumps over the lazy dog"

Advanced Examples:

"Create dialogue: [S1] Hello! [S2] Hi there! (laughs)"
"Generate slow speech with speed_factor 0.8: Important announcement"
"Use orpheus-tts with voice emma: Hello everyone"

Controlling Speech Pace:

For slower, more deliberate speech:

"Generate speech: Hello everyone. (pauses) Today we'll discuss... (hesitates) something very important."
"Use speed_factor 0.8: This is an important safety announcement."
"Add pauses: Please listen carefully — (pauses) — this information could save your life."

Available Options:

• model: dia-tts (multi-speaker, emotions) or orpheus-tts (4 voices)

• voice: tara, dan, josh, emma (orpheus only)

• speed_factor: 0.5-1.5 (dia only, default 0.94=normal, try 0.8 for slower, 1.1 for faster)

• temperature: 0.1-2.0 (expressiveness)

• max_new_tokens: Control audio length

Pacing Techniques (dia-tts):

• Use punctuation: periods (.), commas (,), ellipsis (...) for natural pauses

• Add non-verbal cues: (pauses), (sighs), (hesitates), (breathes deeply)

• Combine with speed_factor for overall tempo control

🎵 generate_music

Create original music from text descriptions.

Basic Examples:

"Create relaxing piano music for meditation"
"Generate upbeat electronic dance music"
"Make ambient background music"

Advanced Examples:

"Generate 60 seconds of jazz with saxophone using minimax-music"
"Create instrumental lo-fi hip hop beats for studying"
"Make epic orchestral music with duration 45 seconds"

Available Options:

• model: lyria-2 (instrumental) or minimax-music (with vocals)

• duration: 1-60 seconds (minimax) or default 30s (lyria)

• negative_prompt: What to avoid in the music

• seed: For reproducible music generation

💰 estimate_cost

Check credit costs before generating content.

Examples:

"Estimate the cost of generating 5 images with sdxl"
"Show me the cost for all text-to-image models"
"What would it cost to create a 30-second video with veo-3?"
"List all model costs"

Available Options:

• model: Specific model to estimate

• category: Model category to compare

• num_images: Number of images (1-10)

• num_outputs: Number of outputs (1-10)

• list_all: Show all model costs

Supported Models

The server includes 13 verified working models across 7 categories:

Text-to-Image Generation (4 models)

• sdxl - Stable Diffusion XL: High-quality image generation with SDXL 1.0

• sdxl-lightning - SDXL Lightning: Fast high-quality image generation (8 steps)

• fooocus - Fooocus: Advanced image generation with refinement options

• ssd-1b - SSD-1B: Efficient billion-parameter model for fast generation

Image-to-Image Transformation (1 model)

• sd15-img2img - SD 1.5 Image-to-Image: Transform existing images with Stable Diffusion 1.5

Image Enhancement (2 models)

• esrgan - ESRGAN: AI-powered image upscaling (2x-4x) and enhancement

• codeformer - CodeFormer: AI face restoration and enhancement

Video Generation (2 models)

• veo-3 - Google Veo 3: Advanced text-to-video with realistic audio synthesis

• seedance-v1-lite - Seedance V1 Lite: Fast high-quality multi-shot video generation

Text-to-Speech (2 models)

• dia-tts - Dia: Ultra-realistic multi-speaker dialogue with emotions and nonverbal cues

• orpheus-tts - Orpheus TTS 3B: Open-source TTS with emotion tags and natural speech

Music Generation (2 models)

• lyria-2 - Lyria 2: High-fidelity 48kHz stereo instrumental music generation

• minimax-music - Minimax Music-01: Generate up to 60 seconds of music with vocals

Configuration Options

Set these environment variables in your MCP client config:

{
  "env": {
    "SEGMIND_API_KEY": "required - your API key",
    "LOG_LEVEL": "info",  // error, warn, info, debug
    "CACHE_ENABLED": "true",
    "MAX_IMAGE_SIZE": "10485760",  // 10MB
    "FILE_OUTPUT_LOCATION": "/path/to/save/images"  // Optional, defaults to system temp
  }
}

File Output

Images are automatically saved to your local filesystem (Claude Desktop cannot display images from MCP servers).

• Default location: System temp directory

• Custom location: Set FILE_OUTPUT_LOCATION to any directory

• Override per request: Use save_location parameter in your prompt

Example:

"Generate an image of a sunset"
// Result: Image saved to: /tmp/sdxl-1705783456789.png

"Generate a logo and save to /Users/me/Desktop"
// Result: Image saved to: /Users/me/Desktop/sdxl-1705783456790.png

Working with Local Images

To use your local images with transform_image or enhance_image tools, you need to convert them to base64 format first.

Option 1: Drag & Drop (Easiest)

Simply drag your image file into the Claude chat window.

Option 2: Use the Preparation Script

# Navigate to the package directory
cd node_modules/@bratcliffe909/mcp-server-segmind
# Or if installed globally: cd $(npm root -g)/@bratcliffe909/mcp-server-segmind

# Convert your image
node scripts/prepare-image.js "C:\Users\YourName\Pictures\photo.jpg"

# This creates photo.jpg.base64.txt - copy its contents for use with Claude

Option 3: Online Converter

Use any "image to base64" online converter and copy the result.

See docs/IMAGE_PREPARATION.md for detailed instructions.

Development

If you want to contribute or modify the server:

git clone https://github.com/bratcliffe909/segmind-mcp.git
cd segmind-mcp
npm install
npm run build
npm link

See CONTRIBUTING.md for more details.

Troubleshooting

"MCP error -32000: Connection closed"

This error often occurs due to command execution issues. Try these solutions:

For Windows users:

{
  "mcpServers": {
    "segmind": {
      "command": "cmd",
      "args": ["/c", "npx", "-y", "@bratcliffe909/mcp-server-segmind@latest"],
      "env": {
        "SEGMIND_API_KEY": "your_segmind_api_key_here"
      }
    }
  }
}

For NVM users:

Install globally instead of using npx:

npm install -g @bratcliffe909/mcp-server-segmind

Then use:

{
  "mcpServers": {
    "segmind": {
      "command": "mcp-server-segmind",
      "args": [],
      "env": {
        "SEGMIND_API_KEY": "your_segmind_api_key_here"
      }
    }
  }
}

General solutions:

1. Ensure Node.js is installed in your system (not just in WSL)

2. Restart Claude Desktop after configuration changes

3. Check npm registry settings in ~/.npmrc

4. Verify the -y flag is included in the args array

"API key not found" error

Make sure your SEGMIND_API_KEY is set correctly in your MCP client's configuration.

"Command not found" error

Ensure npm's global bin directory is in your PATH, or use the full path to npx.

Images not displaying

Your MCP client should display images automatically. Ensure you're using a client that supports image display.

Security

• API keys are never logged or stored

• All requests use HTTPS

• Input validation on all parameters

• Rate limiting to prevent abuse

Contributing

Contributions are welcome! Please see our Contributing Guide for details.

License

MIT License - see LICENSE for details.

Documentation

• Quick Start Guide - Getting started quickly

• User Guide - Detailed usage and examples

• Available Models - Complete model reference

• Parameter Reference - Comprehensive parameter documentation

• Contributing Guide - How to contribute

Links

• Segmind API Documentation

• Model Context Protocol

• Report Issues