DreamLayer image tools
Related Servers
Alternatives to DreamLayer image tools
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityDmaintenanceEnables AI image and video generation using Dreamshot's API, supporting tools like image editing, video creation, and enhancement directly from MCP-compatible clients.MIT
- AlicenseBqualityDmaintenanceEnables image generation and multi-turn editing sessions using the Gemini API within MCP-compatible environments. Users can create, modify, and configure images through natural language commands, supporting features like aspect ratio adjustments and session-based image transformations.5ISC
- AlicenseNot gradedqualityBmaintenanceEnables coding agents and other MCP clients to generate images from text prompts and edit, restyle, or extend existing images through an OpenAI-compatible /v1/images API. Results are returned both inline as image content blocks and as files saved to disk, so agents can view and reuse them within a normal task.17 npmMIT
- AlicenseNot gradedqualityAmaintenanceEnables generating and editing images from any MCP client by rewriting requests into detailed prompts and routing them to Gemini, OpenAI, or BytePlus Seedream, with configurable quality presets, aspect ratios, and image sizes. Results are saved to disk and returned to the assistant as MCP resources.932 npmMIT
- AlicenseNot gradedqualityAmaintenanceEnables AI assistants in any MCP client to generate new images or edit existing ones by turning short requests into detailed prompts with configurable quality presets. Supports Gemini, OpenAI GPT Image, and BytePlus Seedream providers, saving results to disk and returning them as MCP resources.932 npmMIT
- AlicenseNot gradedqualityAmaintenanceEnables users to generate and edit images from MCP-compatible clients, with automatic prompt optimization and quality presets, and supports Gemini, OpenAI GPT Image, and BytePlus Seedream.932 npmMIT
TDQS
Scored across 7 tools
Most tools are clearly distinct: balance, capabilities, generate, upload_image, and download each have a single obvious purpose. The only potential confusion is between execution and events, since both take an execution_id and serve post-generation recovery, but their descriptions separate status checking from stream resumption well.
All tools share the dreamlayer_ prefix and snake_case style, but the naming pattern is inconsistent: balance, capabilities, events, and execution are nouns, while download, generate, and upload_image are verbs or verb_noun. It remains readable and predictable in prefix, but not a uniform verb_noun convention.
Seven tools is a well-scoped set for a paid async image generation workflow. Each tool covers a necessary stage—checking credits, reading contract terms, uploading inputs, generating, checking status, resuming streams, and downloading results—without bloat.
The lifecycle is well covered: billing check, capability discovery, upload, generation, status retrieval, event resumption, and download. Minor gaps exist around asset management and cancellation, but the descriptions indicate these are either unnecessary or unsupported rather than critical missing operations.