A
licenseA
qualityC
maintenanceEnables Claude Code to generate and edit images using Google's Gemini and Imagen models on Vertex AI, with support for multiple models, aspect ratios, and image fusion.
3
1
MIT
SeeDream MCP Server
by syh52
Related Servers
Alternatives to SeeDream MCP Server
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityDmaintenanceEnables Claude to generate and edit images using Google Gemini AI.-
- AlicenseAqualityCmaintenanceEnables Claude to generate and edit images using OpenAI's GPT Image models, with automatic model selection and local file saving.3MIT
- AlicenseNot gradedqualityBmaintenanceEnables Claude to generate and edit images using Google's Gemini image models, with options for resolution and batch processing, and optional Firebase Storage for cross-environment image transfer.12 npmMIT
- AlicenseAqualityBmaintenanceConnects Claude Code to image generation models (OpenAI GPT Image 2, Google Nano Banana) for generating, editing, and converting images via natural language.638 npmMIT
- AlicenseAqualityDmaintenanceBrings Google Gemini 2.0 Flash native image generation capabilities into Claude Code, enabling users to generate, edit, compose, and iteratively refine images using natural language prompts directly from their coding environment.612 npmMIT
TDQS
A4.3/5.0
Scored across 6 tools
Disambiguation3/5
The core image tools are mostly distinguishable: generate creates from text, edit modifies a single image, blend combines multiple images, and variations makes coherent batches. However, seedream_submit duplicates generate/edit/blend behavior with only async execution as the differentiator, which creates real ambiguity about which tool an agent should select.
Naming Consistency4/5
All tools share the consistent seedream_ prefix and mostly use verb-style suffixes (edit, generate, blend, submit). variations and status are noun suffixes, which is a minor deviation, but the overall pattern remains predictable and readable.
Tool Count4/5
Six tools is a reasonable size for an image generation server, and most tools serve a distinct purpose. However, seedream_submit largely overlaps with the other image tools and exists primarily as a compatibility workaround, making the set feel slightly padded.
Completeness4/5
The server covers the main image workflows well: generation, editing, blending, variations, and health checking. The notable gap is that seedream_submit offers no MCP-based way to poll for results or retrieve submitted task outputs programmatically, forcing users to check an external web app.
Maintenance
ActivityInactive
ResponsivenessNo issues