
geopopos/geo_higgsfield_ai_mcp
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MCP (Model Context Protocol) server for Higgsfield AI API - enabling AI-powered image generation, video creation, and speech synthesis capabilities.
Обзор
MCP (Model Context Protocol) server for Higgsfield AI API - enabling AI-powered image generation, video creation, and speech synthesis capabilities. - Generate high-quality images from text prompts - Multiple image sizes and quality options - Custom style presets and character references - Batch generation support - Animate static images with motion presets - Start and end frame support - Customizable motion strength - Generate talking head videos - Custom image and audio input - Adjustable quality and duration - Create consistent character references - Use across multiple generations - Manage character library - Async job status tracking - Webhook notifications - Result retrieval - Python 3.10 or higher - Higgsfield AI API credentials (Get them here) Using Claude Code CLI? See for step-by-step instructions.
README
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Higgsfield AI MCP Server
MCP (Model Context Protocol) server for Higgsfield AI API - enabling AI-powered image generation, video creation, and speech synthesis capabilities.
Features
🎨 Text-to-Image (Soul Model)
- Generate high-quality images from text prompts
- Multiple image sizes and quality options
- Custom style presets and character references
- Batch generation support
🎬 Image-to-Video (DOP Model)
- Animate static images with motion presets
- Start and end frame support
- Customizable motion strength
🗣️ Speech-to-Video
- Generate talking head videos
- Custom image and audio input
- Adjustable quality and duration
👤 Character Management
- Create consistent character references
- Use across multiple generations
- Manage character library
📊 Job Management
- Async job status tracking
- Webhook notifications
- Result retrieval
Installation
Prerequisites
- Python 3.10 or higher
- Higgsfield AI API credentials (Get them here)
Install via pip
pip install higgsfield-mcp
Install from source
git clone
cd higgsfield-mcp
pip install -e .
🚀 Quick Setup for Claude Code
Using Claude Code CLI? See CLAUDE_CODE_SETUP.md for step-by-step instructions.
TL;DR:
pip install higgsfield-mcp- Add to
.mcp.json:
{
"mcpServers": {
"higgsfield": {
"command": "higgsfield-mcp",
"env": {
"HIGGSFIELD_API_KEY": "your-key",
"HIGGSFIELD_SECRET": "your-secret"
}
}
}
}
- Restart Claude Code and start generating!
Configuration
1. Set up environment variables
Create a .env file in your project directory:
HIGGSFIELD_API_KEY=your-api-key-here
HIGGSFIELD_SECRET=your-secret-here
Or export them in your shell:
export HIGGSFIELD_API_KEY=your-api-key-here
export HIGGSFIELD_SECRET=your-secret-here
2. Configure MCP Client
Add to your MCP client configuration (e.g., Claude Desktop config.json):
{
"mcpServers": {
"higgsfield": {
"command": "python",
"args": ["-m", "higgsfield_mcp.server"],
"env": {
"HIGGSFIELD_API_KEY": "your-api-key-here",
"HIGGSFIELD_SECRET": "your-secret-here"
}
}
}
}
Or if installed via pip:
{
"mcpServers": {
"higgsfield": {
"command": "higgsfield-mcp",
"env": {
"HIGGSFIELD_API_KEY": "your-api-key-here",
"HIGGSFIELD_SECRET": "your-secret-here"
}
}
}
}
Available Tools
Text-to-Image
generate_image_soul
Generate images from text prompts using the Soul model.
Parameters:
prompt(required): Text description of the imagewidth_and_height(optional): Image dimensions (default: “1696x960”)- Options: “1152x2048”, “2048x1152”, “2048x1536”, “1536x2048”, etc.
Установка
This server does not publish a one-line install command.
Open the repository installation guide Новичок в MCP? Начните с руководства на mcpskill.org →Конфигурация
{
"mcpServers": {
"higgsfield": {
"command": "higgsfield-mcp",
"env": {
"HIGGSFIELD_API_KEY": "your-key",
"HIGGSFIELD_SECRET": "your-secret"
}
}
}
}