aether studio — AI Image Generation, Editing & Creative Workflow

Install aether studio — AI Image Generation, Editing & Creative Workflow in your MCP client

aether studio — AI Image Generation, Editing & Creative Workflow is a Model Context Protocol server. Add it to your MCP client config once, restart, and the server's tools become available to your AI assistant. The same JSON snippet below works across all four major clients — only the config file path differs.

1. Locate your client's MCP config file.
   • Cursor: ~/.cursor/mcp.json
   • Claude Desktop (macOS): ~/Library/Application Support/Claude/claude_desktop_config.json
   • Claude Desktop (Windows): %APPDATA%\Claude\claude_desktop_config.json
   • VS Code: Settings → Extensions → MCP
   • Windsurf: Settings → MCP Servers
2. Add aether studio — AI Image Generation, Editing & Creative Workflow to the mcpServers map — paste the snippet below into your config file. If you already have other MCP servers, merge the entry into the existing mcpServers object.
3. Restart your client so it picks up the new server.
4. Verify — ask the assistant to list available tools; aether studio — AI Image Generation, Editing & Creative Workflow's tools should appear.

{
  "mcpServers": {
    "aether-studio---ai-image-generation--editing---creative-workflow": {
      "command": "npx",
      "args": [
        "-y",
        "@aether-studio---ai-image-generation--editing---creative-workflow/mcp-server"
      ],
      "note": "Replace with the actual package name from the server's documentation."
    }
  }
}

Transport

aether studio — AI Image Generation, Editing & Creative Workflow supports the following MCP transports. Most AI clients use stdio by default for locally-installed servers.

More create.images.asset_pipeline MCP servers

Other Model Context Protocol servers in the same space as aether studio — AI Image Generation, Editing & Creative Workflow. Each one adds different capabilities to your AI assistant — pick based on the data sources or workflows you need.

• keen

  AI image upscaling — upscale any image to 2x or 4x resolution with x402 payments

• xmorf

  AI image editing and generation via xmorf API. Edit, generate, and list models.

• image-gen-server

  An MCP server for image generation using the Replicate Flux model

• mcpollinations

  Model Context Protocol (MCP) server for the Pollinations APIs with image saving functionality.

• coze-workflow-mcp-server

  MCP Server for calling Coze AI workflows - supports multiple workflows, async execution, and dynamic parameter configuration

• imagen-mcp

  MCP server for Google AI Studio (Gemini) image generation with support for text-to-image, image editing, and multi-turn conversational image creation

• mcp-server-stability-ai

  MCP [Model Context Protocol](https://modelcontextprotocol.io/) Server integrating MCP Clients with [Stability AI](https://stability.ai/) image manipulation functionalities: generate, edit, upscale, and more.

• mcpollinations

  Model Context Protocol (MCP) server for the Pollinations APIs with image saving functionality.

Browse the full MCP server directory or use Stork's one-line install to let your agent pick the right server automatically.