MCP Seedream Pro

Name: MCP Seedream Pro
Author: AceDataCloud

by AceDataCloudversion 2026.11.7.0i★ –iComputer or cloud

Registry nameio.github.AceDataCloud/mcp-seedream-pro

Install

Overview

Description from the maker (original English)

MCP server for ByteDance Seedream AI image generation

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi3 of 3 passedChecked from public information; code not scanned yet
UsageiEarly↓ 358/wk · ★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Computer or cloud
Transport: stdio, Streamable HTTP
Category: Design, images & audio
You need to fill in: ACEDATACLOUD_API_TOKEN

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 3 of 3 passed
Runs on the maker’s server: what you ask it goes through their server.
You fill in yourself: ACEDATACLOUD_API_TOKEN

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

Runs in the cloudNothing to install; it connects over the internet
PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

Open Settings → Connectors
Press Add custom connector
Paste the address below and press Add
If it asks you to sign in, sign in with the maker

https://seedream.mcp.acedata.cloud/mcp

Or run it on your computer

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "seedream-pro": {
      "command": "uvx",
      "args": [
        "mcp-seedream-pro"
      ],
      "env": {
        "ACEDATACLOUD_API_TOKEN": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add --transport http seedream-pro https://seedream.mcp.acedata.cloud/mcp

Or run it on your computer

claude mcp add seedream-pro --env ACEDATACLOUD_API_TOKEN=your-value -- uvx mcp-seedream-pro

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "seedream-pro": {
      "url": "https://seedream.mcp.acedata.cloud/mcp"
    }
  }
}

Or run it on your computer

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "seedream-pro": {
      "command": "uvx",
      "args": [
        "mcp-seedream-pro"
      ],
      "env": {
        "ACEDATACLOUD_API_TOKEN": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "seedream-pro": {
      "type": "http",
      "url": "https://seedream.mcp.acedata.cloud/mcp"
    }
  }
}

Or run it on your computer

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "seedream-pro": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "mcp-seedream-pro"
      ],
      "env": {
        "ACEDATACLOUD_API_TOKEN": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

Open ChatGPT on the web → Settings → Connectors (Apps)
Press Create or Add (some plans need Developer mode under Advanced first)
Paste the address below, give it a name and save
If it asks you to sign in, sign in with the maker

https://seedream.mcp.acedata.cloud/mcp

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

ACEDATACLOUD_API_TOKEN secret required env
API token from Ace Data Cloud (https://platform.acedata.cloud)

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

The server asks you to sign in before it lists its tools.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account AceDataCloud, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
✓ Pass
Endpoint responds
Responded in 1481 ms (HTTP 401)
✓ Pass
Sign-in with OAuth
Declares OAuth sign-in, so your AI app can take you to log in
… Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint

Compared with others in Design, images & audioi

More stars than 0% of the other 2795 servers in this category
Published to the registry more recently than 96% of the other 2795 servers in this category
Basic checks equal to or better than 100% of the other 2795 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is MCP Seedream Pro safe?

It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: ACEDATACLOUD_API_TOKEN

Does it run on my computer or in the cloud?

Either way works: install it on your computer or connect to the cloud version.

Is it still maintained?

The GitHub repo last changed –, and the latest version (2026.11.7.0) reached the registry yesterday.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Figma MCP Server

Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.

by figmaWidely used★ 2.2KUpdated 13 months ago

Runs in the cloud✓ mcp.figma.com

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

SeedreamMCP

A Model Context Protocol (MCP) server for AI image generation and editing using ByteDance's Seedream models through the AceDataCloud API.

Generate and edit AI images directly from Claude, VS Code, or any MCP-compatible client.

Features

Text-to-Image Generation — Create high-quality images from text prompts (Chinese & English)
Image Editing — Modify existing images, including transparent-background Pro edits
Multiple Models — Seedream v5.0 (flagship), v4.5, and v4.0
Layer Decomposition — Split one image into a base plus up to 16 editable transparent PNG layers
Multi-Resolution — Pro 1K/1.5K/2K; Lite 2K/3K/4K; custom dimensions
Sequential Generation — Generate related images in sequence (5.0 Lite/4.5/4.0)
Web Search — Let 5.0 Lite use current web information when needed
Task Tracking — Monitor generation progress and retrieve results

Tool Reference

Tool	Description
`seedream_generate_image`	Generate an AI image from a text prompt using ByteDance's Seedream model.
`seedream_edit_image`	Edit images, including Seedream 5.0 Pro transparent-background mode.
`seedream_decompose_image`	Split one image into a base and up to 16 positioned transparent layers.
`seedream_get_task`	Query the status and result of a Seedream image generation or edit task.
`seedream_get_tasks_batch`	Query multiple Seedream image tasks at once.
`seedream_list_models`	List all available Seedream models with their capabilities and pricing.
`seedream_list_sizes`	List all available image sizes and resolution options for Seedream.

Seedream 5.0 capability matrix

Capability	5.0 Pro	5.0 Lite
Single image generation/editing	Yes	Yes
Layer decomposition / transparent background	Yes	No
Sequential images / web search	No	Yes
Prompt optimization	standard, fast	standard
Preset sizes	1K, 1.5K, 2K	2K, 3K, 4K

MCP image tools submit asynchronously and return a task id. Use seedream_get_task until completion. For real-time NDJSON streaming, call the REST API or CLI rather than combining stream with MCP async submission.

Verify the connection before generating

After installation, discover the server's tools and call seedream_list_models with no arguments. This reference tool returns locally defined model or action information without calling a generation API. It does not validate your application key, account balance, service access, or current price. Your client's Chat model can still create separate charges.

To check authenticated access without creating media, query a task already owned by your application using the task-lookup tool and the same original task ID. If you have no existing task, stop after discovery/reference output; do not generate media just to test installation. Review current pricing before any new generation.

For missing tools, reconnect and refresh the tool list. For 401/403, check the existing application's key, service permissions, Allowed APIs, expiration and usage limit before replacing credentials. Keep a task/trace ID for other failures, never your key; do not automatically retry a paid operation.

Connect: hosted OAuth, API token, or local stdio

The hosted endpoint is https://seedream.mcp.acedata.cloud/mcp. Choose one route for the MCP client:

Route	When to use it	Credential setup
Hosted OAuth	The client supports remote MCP OAuth	Add only the URL, then sign in to AceDataCloud and approve access. No token needs to be pasted into client configuration.
Hosted API token	The client cannot finish OAuth, or you need an explicit integration credential	Send an AceDataCloud API token in the `Authorization: Bearer …` header. Keep it in a local secret store or environment variable.
Local stdio	The client runs a local MCP process	Install `mcp-seedream-pro` and pass `ACEDATACLOUD_API_TOKEN` to that process. It still calls the AceDataCloud API.

The hosted service advertises OAuth metadata and Dynamic Client Registration (DCR). DCR registers the client application; it is not an API key. OAuth signs you in and the client sends the resulting Bearer token; it may reuse or create an API credential for the account. Browser sign-in still requires an AceDataCloud account. The hosted service can be metered: review current service documentation and displayed pricing before a real operation. Do not configure both an OAuth login and a fixed Authorization header for the same server.

Hosted OAuth examples

Claude and Claude Desktop chat: Add a remote custom connector in Customize → Connectors → Add custom connector, enter https://seedream.mcp.acedata.cloud/mcp, select sign-in, and choose Register automatically if Claude asks how to register its OAuth client. Complete consent. Claude Desktop's local claude_desktop_config.json is a separate setup. Claude connector guide.
Claude Code: claude mcp add --transport http --scope user seedream https://seedream.mcp.acedata.cloud/mcp, then start claude, open /mcp, and authenticate the Seedream server. Claude Code MCP guide.
Cursor: Add a remote server with only https://seedream.mcp.acedata.cloud/mcp. For a project, merge the entry below into /.cursor/mcp.json; for personal use, use ~/.cursor/mcp.json. Cursor MCP guide.
VS Code / Copilot: Run MCP: Add Server, select HTTP, enter https://seedream.mcp.acedata.cloud/mcp, then finish the browser sign-in. New portable workspace configs use /.mcp.json; the VS Code-specific format below uses /.vscode/mcp.json or the user profile. Check MCP: List Servers. VS Code MCP setup.
Codex: codex mcp add seedream --url https://seedream.mcp.acedata.cloud/mcp, then codex mcp login seedream. Its user settings are in ~/.codex/config.toml. Official Codex MCP guide.

Cursor project config (OAuth):

"mcpServers": { "seedream": {"url": "https://seedream.mcp.acedata.cloud/mcp"} } }

VS Code-specific workspace config (OAuth):

"servers": { "seedream": {"type": "http", "url": "https://seedream.mcp.acedata.cloud/mcp"} } }

Hosted API token

Open Ace Data Cloud → Applications. Sign in, or register an account first.
Find General application. If it has not been created, choose Initialize General Application. A general key can use the services available to your account; a dedicated application's key is limited to its service. Check the required service/model access and current pricing.
Copy the API Key from the application card, or open Keys / Manage Keys → Create to create a separate key for this integration. Give it a recognizable name so you can revoke or rotate it independently.
When creating a key, review Expiration Time, Set Usage Limitation, and Allowed APIs. Enable only the restrictions you need, allow the operations you will call, then click Create and copy the token from the key list. Task lookup does not grant permission to submit a generation. Confirm the application's balance can cover your first request; any trial allowance is whatever your account currently displays.
Copy only the token value, without quotation marks, spaces, or Bearer . An API Key / API Token field expects this raw value; only a manually configured HTTP Authorization header needs the Bearer prefix. A platform-... account-management token cannot replace a generation API key.

Save the key in the client's credential store or the environment variable shown below. Never put it in a prompt, shared workflow, screenshot, or Git commit. If authentication fails, check the full copied value, application/service access, expiration, usage limit, and balance before creating another key.

A fixed Bearer header bypasses OAuth. If the header is invalid, remove it before trying browser sign-in; keep the saved credential private.

For Claude Code, the shell expands the token when you add the server; treat the saved user MCP config as a secret:

export ACEDATACLOUD_API_TOKEN='YOUR_API_TOKEN'

claude mcp add --transport http --scope user seedream https://seedream.mcp.acedata.cloud/mcp \ --header "Authorization: Bearer $ACEDATACLOUD_API_TOKEN"

For a Claude Code project config, put a variable reference in /.mcp.json and set that variable in the environment that launches Claude Code:

"mcpServers": { "seedream": { "type": "http", "url": "https://seedream.mcp.acedata.cloud/mcp", "headers": {"Authorization": "Bearer ${ACEDATACLOUD_API_TOKEN}"} } } }

Cursor uses a different environment-variable syntax in ~/.cursor/mcp.json or an uncommitted project config:

"mcpServers": { "seedream": { "url": "https://seedream.mcp.acedata.cloud/mcp", "headers": {"Authorization": "Bearer ${env:ACEDATACLOUD_API_TOKEN}"} } } }

In VS Code, run MCP: Open User Configuration and merge this server plus its masked input; ${input:...} is for VS Code's user/workspace format and is not portable to the Agent Host .mcp.json format:

"inputs": [ {"id": "acedata-seedream-token", "type": "promptString", "description": "AceDataCloud API token", "password": true} ], "servers": { "seedream": { "type": "http", "url": "https://seedream.mcp.acedata.cloud/mcp", "headers": {"Authorization": "Bearer ${input:acedata-seedream-token}"} } } }

For Cline, use its MCP configuration UI or CLI file ~/.cline/data/settings/cline_mcp_settings.json; its remote transport value is streamableHttp. For JetBrains AI Assistant, add a remote URL from **Settings → Tools → AI Assist

Only the beginning is shown; read the rest in the repo

MCP Seedream Pro

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Or run it on your computer

Or run it on your computer

Or run it on your computer

Or run it on your computer

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Design, images & audioi

Common questions

Alternatives

Figma Context MCP

Claude Real Video

Figma MCP Server

README from the maker

SeedreamMCP

Features

Tool Reference

Seedream 5.0 capability matrix

Verify the connection before generating

Connect: hosted OAuth, API token, or local stdio

Hosted OAuth examples

Hosted API token