Civitai MCP Server
Enables interaction with the Civitai API to search for AI models, browse images, and access creator information. It provides tools for filtering models by popularity, rating, or type and retrieving detailed version metadata.
README
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
Installation
- Install dependencies:
pip install -r requirements.txt
- Set up environment variables (optional):
cp .env.example .env
# Edit .env file to set your Civitai API key
Usage
Standalone Execution
python civitai_mcp_server.py
Deploy your MCP server to Amazon Bedrock AgentCore
Deploy using Amazon Bedrock AgentCore starter toolkit
agentcore configure -e civitai_mcp_server.py --protocol MCP
agentcore launch
MCP Configuration
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": []
}
}
}
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
browse_images: Browse imagesget_creators: Search creatorsget_tags: Search tags
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)
# Browse images
browse_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
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。