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io.github.AceDataCloud/mcp-seedream-pro

AceDataCloud streamable_http Scanned 22d ago

MCP server for ByteDance Seedream AI image generation

C
74.3 / 100

Versions

2026.3.19.10latest
first seen Jun 5, 2026
2026.3.22.2
first seen May 19, 2026
PermissionsTool SafetyAuthAnnotationsCode QualityStabilitySpecVuln HistoryAuthorTransparencyCommunity

Tools 7

seedream_list_models
annotations: none low

List all available Seedream models with their capabilities and pricing. Use this when: - User asks what models are available - You need to help choose the right model for a task - You want to compare model capabilities Returns: Formatted table of all Seedream models with descriptions.

seedream_list_sizes
annotations: none low

List all available image sizes and resolution options for Seedream. Use this when: - User asks about available image sizes - You need to help choose the right resolution - You want to understand size options Returns: Formatted list of all size options with descriptions.

seedream_generate_image
annotations: none low

Generate an AI image from a text prompt using ByteDance's Seedream model. This tool creates high-quality images from text descriptions using ByteDance's Seedream models (powered by Doubao). Supports multiple model versions with different capabilities and quality levels. Use this when: - You want to generate a new image from scratch based on a text description - You need high-quality AI-generated images (photos, illustrations, art) - You want to create images with specific styles, compositions, or themes Do NOT use this when: - You want to edit or modify an existing image (use seedream_edit_image instead) - You need to combine multiple images (use seedream_edit_image instead) Model selection guide: - v5.0 Lite (doubao-seedream-5-0-lite-260128): Image sets, streaming, and web search - v4.5 (doubao-seedream-4-5-251128): Previous flagship, great quality and detail - v4.0 (doubao-seedream-4-0-250828): Stable and cost-effective, great for most tasks Returns: JSON with task_id, trace_id, success status, and generated image data including image URLs.

size string model string tools string prompt string watermark string callback_url string output_format string response_format string optimize_prompt_options string sequential_image_generation string sequential_image_generation_options string
seedream_edit_image
annotations: none low

Edit or modify existing images using ByteDance's Seedream/SeedEdit model. This tool modifies existing images based on text instructions. It can change styles, backgrounds, attributes, clothing, and more. Supports single or multiple image inputs. Use this when: - You want to modify or transform an existing image - You need to change style, background, colors, or attributes - You want to apply artistic transformations (watercolor, oil painting, etc.) - You need virtual try-on (clothing on person) - You want to place objects in different scenes Common use cases: - Style transfer: "Convert to anime style", "Make it look like a pencil sketch" - Background change: "Replace background with a sunset beach" - Attribute edit: "Change hair color to blonde", "Add sunglasses" - Virtual try-on: Provide person image + clothing image - Scene composition: Place products in realistic environments Returns: JSON with task_id, trace_id, success status, and edited image data including image URLs.

size string image string model string tools string prompt string watermark string background string callback_url string output_format string response_format string optimize_prompt_options string sequential_image_generation string sequential_image_generation_options string
seedream_decompose_image
annotations: none low

Decompose one image into a base image and up to 16 editable transparent layers.

size string image string prompt string watermark string callback_url string output_format string
seedream_get_task
annotations: none low

Query the status and result of a Seedream image generation or edit task. Use this to check if a generation/edit is complete and retrieve the resulting image URLs and metadata. Use this when: - You want to check if an image generation has completed - You need to retrieve image URLs from a previous generation - You want to get the full details of a generated/edited image Returns: Task status and image information including URLs, prompts, and metadata.

task_id string
seedream_get_tasks_batch
annotations: none low

Query multiple Seedream image tasks at once. Efficiently check the status of multiple tasks in a single request. More efficient than calling seedream_get_task multiple times. Use this when: - You have multiple pending generations to check - You want to get status of several images at once - You're tracking a batch of generations Returns: Status and image information for all queried tasks.

task_ids string

Permissions 3

network medium
Server uses network capabilities via: httpx, urllib
filesystem low
Server uses filesystem capabilities via: os, pathlib
env_vars low
Server uses env_vars capabilities via: os.environ, os.getenv(), process.env

Scan Findings 39

low
Tool 'seedream_list_models' has no annotations annotation_checker · 100%
low
Tool 'seedream_list_sizes' has no annotations annotation_checker · 100%
low
Tool 'seedream_generate_image' has no annotations annotation_checker · 100%
low
Tool 'seedream_edit_image' has no annotations annotation_checker · 100%
low
Tool 'seedream_decompose_image' has no annotations annotation_checker · 100%
low
Tool 'seedream_get_task' has no annotations annotation_checker · 100%
low
Tool 'seedream_get_tasks_batch' has no annotations annotation_checker · 100%
info
Sandbox failed to start for behavioral verification behavioral_verifier · 100%
medium
Vulnerable dependency: mcp@1.2.0,<2 (GHSA-3qhf-m339-9g5v) dependency_analyzer · 95%
medium
Vulnerable dependency: mcp@1.2.0,<2 (GHSA-9h52-p55h-vw2f) dependency_analyzer · 95%
medium
Vulnerable dependency: mcp@1.2.0,<2 (GHSA-j975-95f5-7wqh) dependency_analyzer · 95%
medium
Vulnerable dependency: mcp@1.2.0,<2 (GHSA-jpw9-pfvf-9f58) dependency_analyzer · 95%
medium
Vulnerable dependency: mcp@1.2.0,<2 (GHSA-vj7q-gjh5-988w) dependency_analyzer · 95%
medium
Vulnerable dependency: mcp@1.2.0,<2 (PYSEC-2026-1616) dependency_analyzer · 95%
medium
Vulnerable dependency: mcp@1.2.0,<2 (PYSEC-2026-1617) dependency_analyzer · 95%
medium
Vulnerable dependency: mcp@1.2.0,<2 (PYSEC-2026-1618) dependency_analyzer · 95%
medium
Vulnerable dependency: mcp@1.2.0,<2 (PYSEC-2026-3482) dependency_analyzer · 95%
medium
Vulnerable dependency: mcp@1.2.0,<2 (PYSEC-2026-3483) dependency_analyzer · 95%
medium
Vulnerable dependency: python-dotenv@1.0.0 (GHSA-mf9w-mj56-hr94) dependency_analyzer · 95%
medium
Vulnerable dependency: python-dotenv@1.0.0 (PYSEC-2026-2270) dependency_analyzer · 95%
medium
Vulnerable dependency: pydantic@2.0.0 (GHSA-mr82-8j83-vxmv) dependency_analyzer · 95%
medium
Vulnerable dependency: pydantic@2.0.0 (PYSEC-2026-1812) dependency_analyzer · 95%
info
package.json metadata manifest_parser · 100%
info
pyproject.toml metadata manifest_parser · 100%
info
Tool: seedream_list_models manifest_parser · 90%
info
Tool: seedream_list_sizes manifest_parser · 90%
info
Tool: seedream_generate_image manifest_parser · 90%
info
Tool: seedream_edit_image manifest_parser · 90%
info
Tool: seedream_decompose_image manifest_parser · 90%
info
Tool: seedream_get_task manifest_parser · 90%
info
Tool: seedream_get_tasks_batch manifest_parser · 90%
info
Transport: streamable-http manifest_parser · 80%
info
Required env vars (10) manifest_parser · 80%
info
Sandbox failed to start for output poisoning scan output_poisoning · 100%
medium
Permission: network access detected permission_analyzer · 90%
low
Permission: filesystem access detected permission_analyzer · 70%
low
Permission: env_vars access detected permission_analyzer · 90%
info
No dependency files found for SBOM generation sbom_generator · 100%
medium
No build provenance detected (SLSA L0) slsa_assessor · 90%