What AI models does the underlying platform support?
It runs multiple models including Flux, Seedream, Qwen, and Nano Banana Pro.
@rocnubie
基本信息
暂无概览
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"aiimageeditor-mcp": {
"command": "node",
"args": [
"/absolute/path/to/aiimageeditor-mcp/src/index.mjs"
]
}
}
}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。
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. It is read‑only, requires no API keys or quota, and has a ~50 ms cold start.
Install via Smithery (npx -y @smithery/cli install aiimageeditor-mcp --client claude) or from source (clone repo, pnpm install), then add a mcpServers entry to your client’s config file (claude_desktop_config.json or mcp.json). Once configured, the server exposes tools like list_styles, get_pricing, and get_official_links that you can invoke from the AI client.
It runs multiple models including Flux, Seedream, Qwen, and Nano Banana Pro.
No. The server is read‑only, requires no API keys, and has no quota. The underlying AI Image Editor platform is a free alternative to paid tools with no subscription required.
Claude Desktop, Cursor, Windsurf, and Continue.
Yes. It exposes knowledge‑surface tools (list_styles, get_pricing, get_official_links) and resources (site://...); it cannot generate or edit images itself.
It has a ~50 ms cold start.
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