How to Use Ace Data Cloud MCP Servers in Cursor

If you already use Cursor for day-to-day coding, the next bottleneck is usually not writing code. It is switching contexts: opening a browser to search, generating a diagram or hero image elsewhere, shortening links for release notes, or preparing assets while a README is still open.

Ace Data Cloud’s Cursor MCP guide describes a straightforward pattern: connect several remote MCP servers to Cursor once, then let Composer call those tools from inside the editor. This tutorial walks through that setup in a practical way, using only the MCP server URLs and fields documented in the guide.

What you can do

The document covers remote MCP servers that can be configured in Cursor with the same Authorization header. The available servers include:

Server	What it is for	Remote URL
Suno	music generation, lyrics, covers, continuations, voice separation, Persona	https://suno.mcp.acedata.cloud/mcp
Flux	image generation and editing	https://flux.mcp.acedata.cloud/mcp
Seedream	image generation and editing	https://seedream.mcp.acedata.cloud/mcp
NanoBanana	Gemini-driven image workflows, virtual fitting, product scene changes	https://nanobanana.mcp.acedata.cloud/mcp
Luma	video generation with Dream Machine and start/end frame control	https://luma.mcp.acedata.cloud/mcp
Veo	Google video model, native audio, 1080p super resolution	https://veo.mcp.acedata.cloud/mcp
Seedance	ByteDance video generation, action generation, dubbing	https://seedance.mcp.acedata.cloud/mcp
Serp	Google web, image, news, and related search	https://serp.mcp.acedata.cloud/mcp
ShortURL	single and batch short links	https://shorturl.mcp.acedata.cloud/mcp

The main idea is simple: your editor remains the workspace, and the assistant gets tool access for the non-code tasks around your code.

How it works

Cursor reads MCP server configuration from its settings UI or from ~/.cursor/mcp.json. Each remote server entry needs:

• a url pointing to the MCP server
• headers.Authorization using a Bearer token
• a server name under mcpServers

The guide uses this shape:

{
  "mcpServers": {
    "suno": {
      "url": "https://suno.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_ACEDATACLOUD_API_KEY"
      }
    }
  }
}

In a real setup, replace YOUR_ACEDATACLOUD_API_KEY with the API token copied from your Ace Data Cloud application. Do not commit a real mcp.json with tokens to a public repository. Add local MCP config files to .gitignore, or use a private machine-level configuration.

Start with a small Cursor config

You do not have to enable every server on day one. A useful starting set for technical writing or product engineering is:

• serp for research while drafting specs or posts
• flux for images and diagrams
• shorturl for release notes and shareable links

Here is a compact ~/.cursor/mcp.json based on the documented fields:

{
  "mcpServers": {
    "serp": {
      "url": "https://serp.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_ACEDATACLOUD_API_KEY"
      }
    },
    "flux": {
      "url": "https://flux.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_ACEDATACLOUD_API_KEY"
      }
    },
    "shorturl": {
      "url": "https://shorturl.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_ACEDATACLOUD_API_KEY"
      }
    }
  }
}

After saving, go back to Cursor and check Settings → MCP. The configured services should appear as ready. If one is not ready, check the URL, the Authorization header, and whether the token was pasted with the Bearer prefix.

Use Composer as the workflow layer

Once the servers are connected, the most natural way to use them is to describe the whole workflow in Cursor Composer. For example, while writing a README, you might ask:

Use Serp to research current AI video generation trends.
Turn the findings into a concise README section.
Generate one clean technical illustration with Flux.
Shorten the final demo link with ShortURL and add it to the release notes.

That prompt is not asking Cursor to “be creative” in the abstract. It gives the assistant a sequence: search, summarize, generate an asset, then prepare a shareable link. The MCP servers provide the tool calls; Cursor keeps the result close to your files.

For tutorial production, you could use a different subset:

Generate a 30-second upbeat BGM with Suno.
Create three product hero images with Flux.
Use Luma to turn the images into a short promotional video.
Shorten the video link with ShortURL and paste it into the README.

Only use servers you have actually configured. If you removed luma from mcp.json, Cursor cannot call it until you add it back.

Add video and music tools when you need them

For a heavier content workflow, extend the same JSON with video and music servers:

{
  "mcpServers": {
    "suno": {
      "url": "https://suno.mcp.acedata.cloud/mcp",
      "headers": { "Authorization": "Bearer YOUR_ACEDATACLOUD_API_KEY" }
    },
    "veo": {
      "url": "https://veo.mcp.acedata.cloud/mcp",
      "headers": { "Authorization": "Bearer YOUR_ACEDATACLOUD_API_KEY" }
    },
    "seedance": {
      "url": "https://seedance.mcp.acedata.cloud/mcp",
      "headers": { "Authorization": "Bearer YOUR_ACEDATACLOUD_API_KEY" }
    }
  }
}

The documented capabilities are different, so route prompts accordingly: use Suno for music tasks, Veo when you need Google video generation and 1080p super resolution, and Seedance for action-oriented video or dubbing workflows.

A few habits that prevent messy setups

First, keep the config minimal. Add one or two MCP servers, verify they are ready, then expand. Second, name servers clearly (serp, flux, shorturl) so your prompts can refer to them naturally. Third, keep secrets out of repositories. The guide explicitly recommends not submitting mcp.json with real tokens.

Most importantly, think of MCP as a workflow bridge rather than a magic button. The best prompts are specific: “search this topic,” “generate three images in this style,” “shorten this link,” “paste the result into this section.” That is where Cursor plus MCP starts to feel like an integrated builder workspace.

The original Ace Data Cloud Cursor MCP guide is here: https://platform.acedata.cloud/documents/cursor-mcp-all