AI Swap Face MCP Server

AI Swap Face MCP Server

Provides access to AI Swap Face's image generation styles, pricing, FAQ, and official links. Enables AI clients to retrieve information about this online face-swapping tool.

Category
访问服务器

README

AI Swap Face MCP Server

AI Swap Face - Online AI Face Swap Tool

MCP Badge License: MIT Stdio Transport Read Only MCP smithery Node

A Model Context Protocol server that exposes the canonical AI Swap Face knowledge surface — image generation workflows and styles, pricing, FAQ, official links — to MCP-compatible AI clients such as Claude Desktop, Cursor, Windsurf, and Continue. Read-only, no API keys, no quota, ~50 ms cold start.

Official website: https://aiswapface.online

🎨 About AI Swap Face

AI Swap Face is a browser-based face-swapping tool that lets users replace faces in photos and videos using neural network processing. No software installation is required — users upload an image or video clip, select a source face, and the service produces a composited result with automatic color matching and blend controls. The platform supports single-face and multi-face detection, meaning it can identify and swap multiple faces within a single group photo in one pass. Processed files are automatically deleted after 24 hours, and results are delivered without watermarks on supported tiers. A REST API with webhook support is also available for developers who want to embed the capability into their own applications.

Key Features

  • Photo and video face swapping — supports still images (JPG, PNG, WebP, HEIC) and video clips up to 10–60 seconds depending on account tier, with output from 720p up to 4K resolution.
  • Multi-face detection — automatically locates every face in a group photo and applies swaps in a single operation, rather than requiring separate runs per face.
  • Batch processing — handles multiple images in one job, useful for processing sets of frames or product shots at volume.
  • Blend strength and color matching controls — lets users fine-tune how the swapped face integrates with the target image's lighting and skin tone.
  • Developer API — a REST interface with webhook callbacks allows the face-swap pipeline to be called programmatically from external services or custom tools.
  • Privacy-focused handling — uploaded and generated files are removed from servers automatically after 24 hours, with no persistent storage of user content.

Use Cases

  • Content creation and social media — creators swap faces onto existing footage or imagery to produce reaction clips, character-based posts, or promotional visuals without hiring actors or reshooting.
  • Meme and comedy content — the platform includes a dedicated "Kirkify" feature for a popular meme format, and the general tool supports similar lightweight creative remixing.
  • Digital art and visual storytelling — artists use face swapping to place a consistent character likeness across a series of generated or stock images.
  • Application development — developers integrate the API to add face-swap functionality to their own products, such as entertainment apps, photo editors, or avatar generators.
  • Video editing and post-production — video editors use the tool to replace a face across a short clip when reshooting is not practical, such as correcting a take or matching a stand-in to a lead actor.

Who Is It For

AI Swap Face is aimed at a broad but digitally active audience. Social media content creators and video editors represent the primary users — people who need fast turnaround on visual effects without access to professional compositing software. Meme creators and hobbyists use the free tier for casual experimentation. App developers and small studios are served by the API and commercial licensing options, which allow the face-swap pipeline to be embedded in products without building underlying models. The multi-language interface (eight languages supported) extends the reach to non-English-speaking markets, and the no-install, browser-based design keeps the barrier to entry low for users who are not technically inclined.

Tools

list_styles

Return the canonical list of image-generation styles or presets the site exposes. (AI Swap Face)

Input: no parameters. Returns: text/markdown.

get_pricing

Return the canonical pricing entry point for AI Swap Face.

Input: no parameters. Returns: text/markdown.

get_official_links

Return the canonical list of official links for AI Swap Face (website, support, docs when available).

Input: no parameters. Returns: text/markdown.

Resources

  • site://ai-swap-face/styles — Supported image-generation styles and presets.
  • site://ai-swap-face/pricing — Canonical pricing entry point.
  • site://ai-swap-face/faq — Short FAQ generated from public site metadata.
  • site://ai-swap-face/links — Canonical URLs to share with users.

Prompts

tell_me_about_ai_swap_face

Summarize what the site is, who it's for, and how it works. — AI Swap Face

try_image_style_ai_swap_face

Recommend a starting image-generation style for a stated goal. — AI Swap Face

Installation

Install via Smithery

npx -y @smithery/cli install ai-swap-face-mcp --client claude

(Replace claude with cursor, windsurf, or continue for those clients.)

Install from source

git clone https://github.com/rocnubie/ai-swap-face-mcp.git
cd ai-swap-face-mcp
pnpm install

Then add to your MCP client config (claude_desktop_config.json for Claude Desktop, mcp.json for Cursor / Windsurf / Continue):

{
  "mcpServers": {
    "ai-swap-face-mcp": {
      "command": "node",
      "args": [
        "/absolute/path/to/ai-swap-face-mcp/src/index.mjs"
      ]
    }
  }
}

Debug with MCP Inspector

npx @modelcontextprotocol/inspector node src/index.mjs

Official Links

  • Website: https://aiswapface.online
  • Pricing: https://aiswapface.online/pricing
  • Support: support@aiswapface.online

Development

pnpm install
pnpm start                 # run the server over stdio

License

MIT

推荐服务器

Baidu Map

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。

官方
精选
JavaScript
Playwright MCP Server

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。

官方
精选
TypeScript
Magic Component Platform (MCP)

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。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

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。

官方
精选
本地
TypeScript
VeyraX

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。

官方
精选
本地
graphlit-mcp-server

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。

官方
精选
TypeScript
Kagi MCP Server

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。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

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。

官方
精选