MCP Servers Overview - Ace Data Cloud

We ship official MCP (Model Context Protocol) servers for every core service. Claude Desktop, Cursor, Windsurf, Continue, and any MCP-aware AI tool can call Ace Data Cloud APIs directly — no more pasting cURL commands; the AI assistant picks the right endpoint, passes parameters, and parses results.

When to use MCP

✅ Inside IDE / desktop AI

You want Claude / Cursor to generate images, search the web, transcode video for you

✅ Agent / workflow

Expose Ace Data Cloud as a toolset to an AI agent

❌ Web / mobile production

Use the REST API directly — more flexible

❌ Mass inference

Call api.acedata.cloud directly

All MCP Servers

Midjourney

AI image generation

Seedream

ByteDance image

Sora

OpenAI video

Veo

Google video

Luma

Luma Dream Machine

Seedance

ByteDance video

Suno

AI music

Serp

Google web search

ShortURL

URL shortener

Prerequisites

An API Token (see Authentication)
Python 3.10+ (or pipx / uvx)
The MCP config file of your AI tool

Claude Desktop

Edit ~/Library/Application Support/Claude/claude_desktop_config.json (Mac) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{
  "mcpServers": {
    "midjourney": {
      "command": "uvx",
      "args": ["mcp-midjourney"],
      "env": {
        "ACEDATACLOUD_API_TOKEN": "YOUR_API_TOKEN"
      }
    },
    "suno": {
      "command": "uvx",
      "args": ["mcp-suno"],
      "env": {
        "ACEDATACLOUD_API_TOKEN": "YOUR_API_TOKEN"
      }
    },
    "serp": {
      "command": "uvx",
      "args": ["mcp-serp"],
      "env": {
        "ACEDATACLOUD_API_TOKEN": "YOUR_API_TOKEN"
      }
    }
  }
}

Restart Claude Desktop — a 🔌 icon will appear in the input box once tools are loaded.

Cursor / Windsurf

In Cursor: Settings → Tools & Integrations → Add new MCP server, or edit ~/.cursor/mcp.json:

{
  "mcpServers": {
    "midjourney": {
      "command": "uvx",
      "args": ["mcp-midjourney"],
      "env": {
        "ACEDATACLOUD_API_TOKEN": "YOUR_API_TOKEN"
      }
    }
  }
}

Windsurf supports the same mcp.json format.

HTTP Transport

Every server supports both stdio (default) and streamable-http:

# stdio (default, for desktop tools)
uvx mcp-midjourney

# HTTP (remote / multi-client)
uvx mcp-midjourney --transport streamable-http --host 0.0.0.0 --port 8000

In HTTP mode, AI clients connect to http://your-host:8000/mcp.

pip Installation

If you don’t want uvx:

pip install mcp-midjourney mcp-suno mcp-serp
# then in your MCP config:
{
  "command": "mcp-midjourney",
  "args": [],
  "env": { "ACEDATACLOUD_API_TOKEN": "..." }
}

Billing

Calls made via MCP tools are calls to the Ace Data Cloud API — same billing rules apply. The MCP server itself is free; your token gets charged normally. See Pricing.

Troubleshooting

AI doesn’t see tools: check MCP server logs (Claude Desktop: ~/Library/Logs/Claude/); confirm the token isn’t a typo
uvx not found: pip install uv, or use plain pip install
HTTP rejected: check firewall; listen on 0.0.0.0, not 127.0.0.1
Behind a proxy: set HTTPS_PROXY env var

​When to use MCP

✅ Inside IDE / desktop AI

✅ Agent / workflow

❌ Web / mobile production

❌ Mass inference

​All MCP Servers

Midjourney

Seedream

Sora

Veo

Luma

Seedance

Suno

Serp

ShortURL

​Prerequisites

​Claude Desktop

​Cursor / Windsurf

​HTTP Transport

​pip Installation

​Billing

​Troubleshooting

​Resources