Can I use this server without local installation?

Yes, AceDataCloud provides a hosted MCP server endpoint that requires no local installation.

Which clients are compatible with this MCP server?

It is compatible with Claude (including Claude Desktop), Cursor, Windsurf, VS Code, JetBrains IDEs, Claude Code, Cline, Amazon Q Developer, Roo Code, and Continue.dev.

What image generation models are supported?

Seedream versions 5.0 (flagship), 4.5, and 4.0 are supported.

Does the server support streaming image generation?

Yes, streaming progressive image delivery is supported for Seedream v4.5 and v4.0 models.

MCPSeedream

image-generationimage-editingseedreamacedatacloudmcp

MCP server for ByteDance Seedream AI image generation and editing via AceDataCloud API.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

We couldn’t automatically confirm this listing starts correctly

We ran the install command below but it didn't respond within our test window — this can mean a slow first-time install rather than a real problem.

uvx mcp-seedream-pro

No response to initialize.

This is an experimental automated check and can have false negatives — missing environment variables, a slow cold install, etc. It doesn’t necessarily mean something’s wrong. Last checked 1mo ago.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "acedatacloud-mcpseedream": {
      "command": "uvx",
      "args": [
        "mcp-seedream-pro"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Overview

This MCP server enables AI image generation and editing using ByteDance's Seedream models through the AceDataCloud API. It supports text-to-image creation, image editing, multiple model versions, and various resolutions. Use it to integrate Seedream's capabilities into MCP-compatible clients for generating or modifying images programmatically.

Use cases

Generate images from text prompts in English or Chinese

Edit existing images with style transfer or background changes

Create sequential related images for storytelling or variations

Stream progressive image generation results

Track and retrieve image generation or editing task status

Key features

Text-to-image generation with Seedream v5.0, v4.5, v4.0

Image editing including style transfer and virtual try-on

Supports multiple image resolutions up to 4K and custom sizes

Sequential image generation and streaming for v4.5 and v4.0

Task tracking for progress monitoring and result retrieval

API token authentication with Bearer tokens

Capabilities & Tool Schemas (7)Self-reported

Inspect callable tools, capabilities, and parameters exposed to AI agents by MCPSeedream.

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.

Documentation Overview

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.

Quick Start

1. Get Your API Token

Sign up at AceDataCloud Platform
Go to the API documentation page
Click "Acquire" to get your API token
Copy the token for use below

2. Use the Hosted Server (Recommended)

AceDataCloud hosts a managed MCP server — no local installation required.

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

All requests require a Bearer token. Use the API token from Step 1.

Claude.ai

Connect directly on Claude.ai with OAuth — no API token needed:

Go to Claude.ai Settings → Integrations → Add More
Enter the server URL: https://seedream.mcp.acedata.cloud/mcp
Complete the OAuth login flow
Start using the tools in your conversation

Claude Desktop

Add to your config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

config.json

{
  "mcpServers": {
    "seedream": {
      "type": "streamable-http",
      "url": "https://seedream.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

Cursor / Windsurf

Add to your MCP config (.cursor/mcp.json or .windsurf/mcp.json):

config.json

{
  "mcpServers": {
    "seedream": {
      "type": "streamable-http",
      "url": "https://seedream.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

VS Code (Copilot)

Add to your VS Code MCP config (.vscode/mcp.json):

config.json

{
  "servers": {
    "seedream": {
      "type": "streamable-http",
      "url": "https://seedream.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

Or install the Ace Data Cloud MCP extension for VS Code, which registers the hosted MCP servers with one-click setup.

JetBrains IDEs

Go to Settings → Tools → AI Assistant → Model Context Protocol (MCP)
Click Add → HTTP
Paste:

config.json

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

Claude Code

Claude Code supports MCP servers natively:

Terminal

claude mcp add seedream --transport http https://seedream.mcp.acedata.cloud/mcp \
  -h "Authorization: Bearer YOUR_API_TOKEN"

Or add to your project's .mcp.json:

config.json

{
  "mcpServers": {
    "seedream": {
      "type": "streamable-http",
      "url": "https://seedream.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

Cline

Add to Cline's MCP settings (.cline/mcp_settings.json):

config.json

{
  "mcpServers": {
    "seedream": {
      "type": "streamable-http",
      "url": "https://seedream.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

Amazon Q Developer

Add to your MCP configuration:

config.json

{
  "mcpServers": {
    "seedream": {
      "type": "streamable-http",
      "url": "https://seedream.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

Roo Code

Add to Roo Code MCP settings:

config.json

{
  "mcpServers": {
    "seedream": {
      "type": "streamable-http",
      "url": "https://seedream.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

Continue.dev

Add to .continue/config.yaml:

yaml

mcpServers:
  - name: seedream
    type: streamable-http
    url: https://seedream.mcp.acedata.cloud/mcp
    headers:
      Authorization: "Bearer YOUR_API_TOKEN"

Zed

Add to Zed's settings (~/.config/zed/settings.json):

config.json

{
  "language_models": {
    "mcp_servers": {
      "seedream": {
        "url": "https://seedream.mcp.acedata.cloud/mcp",
        "headers": {
          "Authorization": "Bearer YOUR_API_TOKEN"
        }
      }
    }
  }
}

cURL Test

bash

# Health check (no auth required)
curl https://seedream.mcp.acedata.cloud/health

# MCP initialize
curl -X POST https://seedream.mcp.acedata.cloud/mcp \
  -H "Content-Type: application/json" \
  -H "Accept: application/json" \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-03-26","capabilities":{},"clientInfo":{"name":"test","version":"1.0"}}}'

3. Or Run Locally (Alternative)

If you prefer to run the server on your own machine:

server.ts

# Install from PyPI
pip install mcp-seedream-pro
# or
uvx mcp-seedream-pro

# Set your API token
export ACEDATACLOUD_API_TOKEN="your_token_here"

# Run (stdio mode for Claude Desktop / local clients)
mcp-seedream-pro

# Run (HTTP mode for remote access)
mcp-seedream-pro --transport http --port 8000

Claude Desktop (Local)

config.json

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

Docker (Self-Hosting)

Terminal

docker pull ghcr.io/acedatacloud/mcp-seedream-pro:latest
docker run -p 8000:8000 ghcr.io/acedatacloud/mcp-seedream-pro:latest

Clients connect with their own Bearer token — the server extracts the token from each request's Authorization header.

Available Tools

Image Generation & Editing

Tool	Description
`seedream_generate_image`	Generate an image from a text prompt
`seedream_edit_image`	Edit or modify existing images with AI

Task Management

Tool	Description
`seedream_get_task`	Query a single task status and result
`seedream_get_tasks_batch`	Query multiple tasks at once

Information

Tool	Description
`seedream_list_models`	List available models with capabilities
`seedream_list_sizes`	List available image size options

Available Models

Read the full README →View source on GitHub →

Related MCP Servers

View all in Art & Culture View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars

Stargazers on the source repository.

Last commit

7d ago

Most recent push to the default branch.

Install check

Inconclusive

Didn't respond in our test window — often a slow first install.

Tools exposed

Callable tools this server registers over MCP.

Directory activity

2 views

Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about MCPSeedream

You must use a Bearer token obtained from the AceDataCloud platform as an API token in the Authorization header.

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Technical Specs & Signals

CategoryArt & Culture

PricingBring your own API key (usage-based cost)

10/10 checks healthy over the last 33d

55Quality signal: Good · 55/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools26/30

Adoption & activity5/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 24d ago via OSV.dev · mcp-seedream-pro (PyPI)

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More in 🎨 Art & Culture →Alternatives to MCPSeedream →Install in Claude Desktop Install in Cursor Install in VS Code

MCPSeedream

image-generationimage-editingseedreamacedatacloudmcp

MCP server for ByteDance Seedream AI image generation and editing via AceDataCloud API.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

We couldn’t automatically confirm this listing starts correctly

We ran the install command below but it didn't respond within our test window — this can mean a slow first-time install rather than a real problem.

uvx mcp-seedream-pro

No response to initialize.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "acedatacloud-mcpseedream": {
      "command": "uvx",
      "args": [
        "mcp-seedream-pro"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Overview

Use cases

Generate images from text prompts in English or Chinese

Edit existing images with style transfer or background changes

Create sequential related images for storytelling or variations

Stream progressive image generation results

Track and retrieve image generation or editing task status

Key features

Text-to-image generation with Seedream v5.0, v4.5, v4.0

Image editing including style transfer and virtual try-on

Supports multiple image resolutions up to 4K and custom sizes

Sequential image generation and streaming for v4.5 and v4.0

Task tracking for progress monitoring and result retrieval

API token authentication with Bearer tokens

Capabilities & Tool Schemas (7)Self-reported

Inspect callable tools, capabilities, and parameters exposed to AI agents by MCPSeedream.

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.

Documentation Overview

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

Quick Start

1. Get Your API Token

Sign up at AceDataCloud Platform
Go to the API documentation page
Click "Acquire" to get your API token
Copy the token for use below

2. Use the Hosted Server (Recommended)

AceDataCloud hosts a managed MCP server — no local installation required.

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

All requests require a Bearer token. Use the API token from Step 1.

Claude.ai

Connect directly on Claude.ai with OAuth — no API token needed:

Go to Claude.ai Settings → Integrations → Add More
Enter the server URL: https://seedream.mcp.acedata.cloud/mcp
Complete the OAuth login flow
Start using the tools in your conversation

Claude Desktop

Add to your config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

config.json

{
  "mcpServers": {
    "seedream": {
      "type": "streamable-http",
      "url": "https://seedream.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

Cursor / Windsurf

Add to your MCP config (.cursor/mcp.json or .windsurf/mcp.json):

config.json

{
  "mcpServers": {
    "seedream": {
      "type": "streamable-http",
      "url": "https://seedream.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

VS Code (Copilot)

Add to your VS Code MCP config (.vscode/mcp.json):

config.json

{
  "servers": {
    "seedream": {
      "type": "streamable-http",
      "url": "https://seedream.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

Or install the Ace Data Cloud MCP extension for VS Code, which registers the hosted MCP servers with one-click setup.

JetBrains IDEs

Go to Settings → Tools → AI Assistant → Model Context Protocol (MCP)
Click Add → HTTP
Paste:

config.json

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

Claude Code

Claude Code supports MCP servers natively:

Terminal

claude mcp add seedream --transport http https://seedream.mcp.acedata.cloud/mcp \
  -h "Authorization: Bearer YOUR_API_TOKEN"

Or add to your project's .mcp.json:

config.json

{
  "mcpServers": {
    "seedream": {
      "type": "streamable-http",
      "url": "https://seedream.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

Cline

Add to Cline's MCP settings (.cline/mcp_settings.json):

config.json

{
  "mcpServers": {
    "seedream": {
      "type": "streamable-http",
      "url": "https://seedream.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

Amazon Q Developer

Add to your MCP configuration:

config.json

{
  "mcpServers": {
    "seedream": {
      "type": "streamable-http",
      "url": "https://seedream.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

Roo Code

Add to Roo Code MCP settings:

config.json

{
  "mcpServers": {
    "seedream": {
      "type": "streamable-http",
      "url": "https://seedream.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

Continue.dev

Add to .continue/config.yaml:

yaml

mcpServers:
  - name: seedream
    type: streamable-http
    url: https://seedream.mcp.acedata.cloud/mcp
    headers:
      Authorization: "Bearer YOUR_API_TOKEN"

Zed

Add to Zed's settings (~/.config/zed/settings.json):

config.json

{
  "language_models": {
    "mcp_servers": {
      "seedream": {
        "url": "https://seedream.mcp.acedata.cloud/mcp",
        "headers": {
          "Authorization": "Bearer YOUR_API_TOKEN"
        }
      }
    }
  }
}

cURL Test

bash

# Health check (no auth required)
curl https://seedream.mcp.acedata.cloud/health

# MCP initialize
curl -X POST https://seedream.mcp.acedata.cloud/mcp \
  -H "Content-Type: application/json" \
  -H "Accept: application/json" \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-03-26","capabilities":{},"clientInfo":{"name":"test","version":"1.0"}}}'

3. Or Run Locally (Alternative)

If you prefer to run the server on your own machine:

server.ts

# Install from PyPI
pip install mcp-seedream-pro
# or
uvx mcp-seedream-pro

# Set your API token
export ACEDATACLOUD_API_TOKEN="your_token_here"

# Run (stdio mode for Claude Desktop / local clients)
mcp-seedream-pro

# Run (HTTP mode for remote access)
mcp-seedream-pro --transport http --port 8000

Claude Desktop (Local)

config.json

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

Docker (Self-Hosting)

Terminal

docker pull ghcr.io/acedatacloud/mcp-seedream-pro:latest
docker run -p 8000:8000 ghcr.io/acedatacloud/mcp-seedream-pro:latest

Clients connect with their own Bearer token — the server extracts the token from each request's Authorization header.

Available Tools

Image Generation & Editing

Tool	Description
`seedream_generate_image`	Generate an image from a text prompt
`seedream_edit_image`	Edit or modify existing images with AI

Task Management

Tool	Description
`seedream_get_task`	Query a single task status and result
`seedream_get_tasks_batch`	Query multiple tasks at once

Information

Tool	Description
`seedream_list_models`	List available models with capabilities
`seedream_list_sizes`	List available image size options

Available Models

Read the full README →View source on GitHub →

Related MCP Servers

View all in Art & Culture View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars

Stargazers on the source repository.

Last commit

7d ago

Most recent push to the default branch.

Install check

Inconclusive

Didn't respond in our test window — often a slow first install.

Tools exposed

Callable tools this server registers over MCP.

Directory activity

2 views

Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about MCPSeedream

You must use a Bearer token obtained from the AceDataCloud platform as an API token in the Authorization header.

AllMCPs Directory Badge

Full Badge Customizer

Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.

Badge Style:

Live Dynamic SVG Preview

Markdown (GitHub README)

[![AllMCPs](https://allmcps.com/api/badge/acedatacloud-mcpseedream?style=directory)](https://allmcps.com/mcp/acedatacloud-mcpseedream)

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<a href="https://allmcps.com/mcp/acedatacloud-mcpseedream"><img src="https://allmcps.com/api/badge/acedatacloud-mcpseedream?style=directory" alt="MCPSeedream on AllMCPs" /></a>

Technical Specs & Signals

CategoryArt & Culture

PricingBring your own API key (usage-based cost)

10/10 checks healthy over the last 33d

55Quality signal: Good · 55/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools26/30

Adoption & activity5/15

Community engagement0/10

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 24d ago via OSV.dev · mcp-seedream-pro (PyPI)

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