Ai Swap Face MCP Server
@rocnubie
基本信息
关于 Ai Swap Face MCP Server
暂无概览
Ai Swap Face MCP Server 配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"ai-swap-face-mcp": {
"command": "node",
"args": [
"/absolute/path/to/ai-swap-face-mcp/src/index.mjs"
]
}
}
}Ai Swap Face MCP Server 工具
工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
What is Ai Swap Face Mcp Server?
Ai Swap Face Mcp Server is a Model Context Protocol server that exposes the official knowledge surface of the AI Swap Face online face‑swapping tool—including image styles, pricing, FAQ, and links—to MCP‑compatible AI clients like Claude Desktop, Cursor, Windsurf, and Continue. It is read‑only, requires no API keys, has no usage quotas, and achieves an approximately 50 ms cold start.
How to use Ai Swap Face Mcp Server?
Install via Smithery (npx -y @smithery/cli install ai-swap-face-mcp --client claude) or clone the source repository and run pnpm install. Then add the server configuration to your MCP client’s settings file (e.g., claude_desktop_config.json for Claude Desktop) with the command `node /absolute/path/to
其他 分类下的更多 MCP 服务器
PickFu MCP
PickFu MCP is a Model Context Protocol (MCP) server that connects AI assistants, developers, marketers, product managers, and AI agents to PickFu's consumer research platform. It enables users to create surveys, conduct
FastMCP v2 🚀
jlowin🚀 The fast, Pythonic way to build MCP servers and clients.

Figs, Relationship Expert
Figs O'Sullivan, LMFTCouples therapist Figs O'Sullivan (LMFT, 17 years, endorsed by Sue Johnson, creator of EFT) inside your AI. Ask relationship questions answered from his clinical writing, name the pattern in a fight, get a three-step rep
🚀 Model Context Protocol (MCP) Curriculum for Beginners
microsoftThis open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,

Klarix Intelligence Engine
KlarixB2B competitive intelligence, live sales battlecards, 5-axis ICP prospect fit scoring, and tech stack teardowns over MCP and REST with cited public-web evidence.
评论