AI Image Editor MCP Server

AI Image Editor MCP Server

Enables access to AI Image Editor's image generation styles, pricing, FAQ, and official links via natural language.

Category
访问服务器

README

AI Image Editor MCP Server

AI Image Editor Free Online | Image to Image AI Photo Editor

MCP Badge License: MIT Node Zero Config Read Only MCP

A Model Context Protocol server that exposes the canonical AI Image Editor 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://ai-image-editor.online

🎨 About AI Image Editor

AI Image Editor (https://ai-image-editor.online) is a browser-based image creation and editing platform that lets users generate visuals from text prompts or transform existing photos using AI. The site supports both text-to-image and image-to-image workflows, making it possible to produce original artwork, edit photographs, or create product visuals without installing any software. It runs multiple underlying AI models — including Flux, Seedream, Qwen, and Nano Banana Pro — and offers style presets ranging from photorealism to anime, Ghibli, and cyberpunk. The platform positions itself as a free alternative to paid tools, with no subscription required and no hard cap on output resolution.

Key Features

  • Text-to-image generation — describe a scene or subject in plain language and receive a high-resolution image in seconds, with control over style and aspect ratio.
  • Image-to-image editing — upload an existing photo as a reference and apply transformations such as style transfer, background replacement, or object modification.
  • Face swap — replace faces in portraits or group photos while preserving lighting and skin tone.
  • Background removal and replacement — isolate subjects from their backgrounds automatically, then place them on custom or AI-generated scenes.
  • Batch generation — produce multiple image variants from a single prompt in one request, useful for A/B testing or rapid iteration.
  • Image-to-video conversion — animate a still image into a short video clip, extending generated content into motion formats.
  • API access — developers can integrate image generation into their own applications through a documented API.

Use Cases

  • E-commerce product photography — generate clean, studio-quality product shots without a photo shoot, or swap backgrounds to match seasonal campaigns.
  • Social media content — create on-brand visuals for posts, thumbnails, or stories quickly, iterating across different styles until the result fits the brief.
  • Creative exploration — artists and designers can use the style presets and image-to-image mode to prototype visual directions before committing to a final production pipeline.
  • Portrait retouching and face swap — swap faces for composite images, update headshots, or create character variations for games and storytelling projects.
  • Application prototyping — developers can call the API to test AI image generation inside their own products before choosing a permanent provider.

Who Is It For

AI Image Editor is aimed at a broad range of users who need AI-generated visuals without the overhead of a paid subscription or a steep learning curve. E-commerce merchants who need product imagery on a tight budget, social media managers producing high volumes of content, and independent designers experimenting with generative aesthetics will find the free tier practical for day-to-day work. The API access also makes it relevant for developers building image-generation features into web apps or automation pipelines. The platform's multiple model options and style presets give technically inclined users enough control to tune outputs, while the straightforward prompt interface keeps it accessible to non-designers who simply want a usable image fast.

Tools

list_styles

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

Input: no parameters. Returns: text/markdown.

get_pricing

Return the canonical pricing entry point for AI Image Editor.

Input: no parameters. Returns: text/markdown.

get_official_links

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

Input: no parameters. Returns: text/markdown.

Resources

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

Prompts

tell_me_about_aiimageeditor

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

try_image_style_aiimageeditor

Recommend a starting image-generation style for a stated goal. — AI Image Editor

Installation

Install via Smithery

npx -y @smithery/cli install aiimageeditor-mcp --client claude

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

Install from source

git clone https://github.com/rocnubie/aiimageeditor-mcp.git
cd aiimageeditor-mcp
pnpm install

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

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

Debug with MCP Inspector

npx @modelcontextprotocol/inspector node src/index.mjs

Official Links

  • Website: https://ai-image-editor.online
  • Pricing: https://ai-image-editor.online/pricing
  • Community: https://x.com/aiimageeditor
  • Support: support@ai-image-editor.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