Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Civitai MCP ServerFind the most downloaded LoRA models for realistic portraits"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Civitai MCP Server (Python FastMCP)
A Python FastMCP implementation of an MCP server for interacting with the Civitai API. Browse AI models, images, creators, and more.
Features
Model Search: Search AI models with various filters
Model Details: Get detailed information about specific models
Image Browsing: Browse AI-generated images
Creator Search: Search for model creators
Tag Search: Search models by tags
Popular/Latest/Top Rated: Get ranking information
FastMCP Resources: Structured resource definitions for models, versions, images, creators, and tags
Installation
Install dependencies:
pip install -r requirements.txtSet up environment variables (optional):
cp .env.example .env
# Edit .env file to set your Civitai API keyUsage
Standalone Execution
python civitai_mcp_server.pyDocker Execution
Option 1: Use Pre-built Image from Docker Hub
docker run -d --name civitai-mcp-server -p 8000:8000 -e CIVITAI_API_KEY=your_api_key_here waura/civitai-mcp-server:latestOption 2: Build Locally
Build the Docker image:
docker build -t civitai-mcp-server .Run the container:
docker run -d --name civitai-mcp-server -p 8000:8000 -e CIVITAI_API_KEY=your_api_key_here civitai-mcp-serverAccess the MCP server at
http://localhost:8000/mcpStop the container:
docker stop civitai-mcp-server
docker rm civitai-mcp-serverDeploy your MCP server to Amazon Bedrock AgentCore
Deploy using Amazon Bedrock AgentCore starter toolkit
agentcore configure -e civitai_mcp_server.py --protocol MCPagentcore launch MCP Configuration
For Standalone Python Execution
Add the following to your Kiro configuration file (.kiro/settings/mcp.json):
{
"mcpServers": {
"civitai": {
"command": "python",
"args": ["path/to/civitai_mcp_server.py"],
"env": {
"CIVITAI_API_KEY": "your_api_key_here"
},
"disabled": false,
"autoApprove": []
}
}
}For Docker Execution
Option 1: HTTP Transport (推奨)
Add the following to your Kiro configuration file (.kiro/settings/mcp.json):
{
"mcpServers": {
"civitai": {
"transport": "http",
"url": "http://localhost:8000/mcp",
"disabled": false,
"autoApprove": []
}
}
}Option 2: Docker Command (Pre-built Image)
{
"mcpServers": {
"civitai": {
"command": "docker",
"args": [
"run", "--rm", "-i",
"-p", "8000:8000",
"-e", "CIVITAI_API_KEY=your_api_key_here",
"waura/civitai-mcp-server:latest"
],
"disabled": false,
"autoApprove": []
}
}
}Option 3: Docker Command (Local Build)
{
"mcpServers": {
"civitai": {
"command": "docker",
"args": [
"run", "--rm", "-i",
"-p", "8000:8000",
"-e", "CIVITAI_API_KEY=your_api_key_here",
"civitai-mcp-server"
],
"disabled": false,
"autoApprove": []
}
}
}Option 4: curl Command
{
"mcpServers": {
"civitai": {
"command": "curl",
"args": ["-X", "POST", "http://localhost:8000/mcp"],
"disabled": false,
"autoApprove": []
}
}
}Available Tools
Model-related
search_models: Search models with query, type, sort filtersget_model: Get detailed model information by IDget_model_version: Get model version detailsget_model_version_by_hash: Get model version by file hashget_popular_models: Get popular modelsget_latest_models: Get newest modelsget_top_rated_models: Get highest rated modelssearch_models_by_tag: Search models by tagsearch_models_by_creator: Search models by creatorget_models_by_type: Filter models by typeget_download_url: Get download URL
Other
get_images: Get imagesget_creators: Search creatorsget_tags: Search tags
FastMCP Resources
This server also provides structured resource definitions that can be accessed via FastMCP resource URIs:
Model Resources
civitai://models/{limit}- List models with filtering options (limit parameter required)civitai://models/{model_id}- Get specific model details
Model Version Resources
civitai://model-versions/{version_id}- Get model version detailscivitai://model-versions/by-hash/{hash}- Get model version by file hash
Image Resources
civitai://images/{limit}- List images with filtering options (limit parameter required)
Creator Resources
civitai://creators/{limit}- List creators (limit parameter required)
Tag Resources
civitai://tags/{limit}- List tags (limit parameter required)
These resources provide structured data models that can be used programmatically by MCP clients.
API Key
A Civitai API key is not required but recommended for:
Access to private models
Higher rate limits
Some advanced features
You can get an API key from your Civitai account settings.
Examples
# Search models
search_models(query="anime", limit=10, sort="Most Downloaded")
# Get specific model details
get_model(model_id=12345)
# Get popular LORA models
get_models_by_type(type="LORA", sort="Most Downloaded", limit=5)
# Get images
get_images(limit=20, nsfw="None", sort="Newest")Notes
API responses can be large
Use NSFW filtering options appropriately
Store API keys securely using environment variables