Retrieve the complete JSON schema for image generation jobs. Understand all available options, constraints, and examples to create valid configurations.
MIT
393,723 tools. Last updated 2026-08-05 06:30
"Tools and Platforms for Image Generation" matching MCP tools:
- Search for AI workflows by name, description, or keywords to find tools for image generation, text processing, and more.MIT
- Create a visual style from up to five reference images and return its ID for use in image generation.MIT
- Retrieves registry data for an image without pulling it, using the daemon's distribution endpoint to resolve its descriptor and available platforms.MIT
- Lists supported discovery platforms and default render settings to determine scope for code collection generation.Apache 2.0
- Retrieve a list of all image generation and editing models available via OpenAI. Shows models for images/generations and images/edits endpoints with descriptions.MIT
Matching MCP Servers
- AlicenseAqualityAmaintenanceMulti-provider image generation MCP server that enables image generation from Claude Desktop, Claude Code, or any MCP client using OpenAI, Google Gemini, Stable Diffusion, or a placeholder provider.Last updated101MIT
- AlicenseBqualityDmaintenanceEnables AI-powered image generation using Azure DALL-E 3 and FLUX models with intelligent automatic model selection. Generates stunning photorealistic or creative images directly within LibreChat through simple text prompts.Last updated1192MIT
Matching MCP Connectors
Decision Layer for AI Agents — 58+ tools, Advisor, MCP. Free key: POST /v1/register {}.
Generate images & video (Nano Banana, Veo, Omni) pay-as-you-go. No subscription, crypto payments.
- Check image generation or editing task status and retrieve resulting image URLs and metadata. Use to monitor completion and access outputs from previous requests.MIT
- Review image generation limits to select a compatible size or count for your request.Apache 2.0
- Look up gaming platforms by ID or search by name. Obtain abbreviation, generation, platform family, versions, and summary.MIT
- Sets the default Gemini model for image generation and editing, choosing between high-quality or fast/cheap model tiers.MIT
- Lists available Gemini models for image generation. Helps select alternative models for troubleshooting.MIT
- Retrieve the canonical list of image-generation styles and presets for AI ad creation.MIT
- Retrieve the complete list of available image generation styles and presets.MIT
- Sets the Google Gemini API key for AI image generation, storing it locally for persistent use across sessions.MIT
- Check the status and retrieve results of an image generation or editing task. Use after submitting a task to get image URLs and metadata.MIT
- Retrieve all available curated styles from Recraft. Use these styles as parameters for image generation tools.MIT
- Returns the canonical list of image-generation styles and presets. Use this to see all available options for image-generation workflows.MIT
- Generate a video from a reference image with optional end frame and loop. Animate a still image using AI video generation.MIT
- Load a local image file and return base64-encoded data to pass to image tools for generation, editing, description, or analysis.Apache 2.0
- List available AI image generation models and their capabilities to help you choose the right model for your needs.MIT