Generate an image from a text prompt guided by a reference image via IP-Adapter for style, subject, or visual influence. Control strength with weight.
MIT
134,215 tools. Last updated 2026-05-16 02:28
"A method to allow vision models to process and understand image files" matching MCP tools:
- Retrieve design documents like PRDs and CLAUDE.md files to understand code intent and verify implementation against original specifications.MIT
- Learn to structure prompts and use parameters for optimal Midjourney results. Get a complete guide with examples to make Midjourney understand your creative vision.MIT
- Search Atlas Cloud documentation, models, and API references by keyword to find AI models for image generation, video generation, and LLMs with pricing and links.MIT
- Upload local media files to get temporary public URLs for use with Atlas Cloud AI generation tools like image-to-video models.MIT
- List all Veo model versions with features, supported actions, and image input rules to compare and select the appropriate model for video generation.MIT
Matching MCP Servers
- Alicense-qualityCmaintenanceEnables text-to-image generation using Zhipu AI's CogView-4 API. Supports generating images from text prompts with configurable size and quality parameters through MCP-compatible clients like Claude Desktop and Cline.Last updated8MIT
- AlicenseAqualityBmaintenanceConverts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.Last updated324Apache 2.0
Matching MCP Connectors
Transform any blog post or article URL into ready-to-post social media content for Twitter/X threads, LinkedIn posts, Instagram captions, Facebook posts, and email newsletters. Pay-per-event: $0.07 for all 5 platforms, $0.03 for single platform.
- HTML/CSS to ImageOAuth
An MCP server for generating images from HTML & CSS or screenshots of URLs using htmlcsstoimage.com.
- Combine text and image inputs to generate responses with vision-capable models. Accepts image URLs or data URIs for visual reasoning.
- Analyze images by sending a query to vision models. Customize analysis with optional system prompts for detailed descriptions.MIT
- Generate descriptive text for images using vision AI models to analyze visual content and provide detailed textual descriptions.
- Analyze existing image files to understand content, extract text, or answer questions using AI vision models.MIT
- Analyze stored image files to understand content, extract text, or answer questions using AI. Configure the tool to use specific AI models or rely on server defaults for tasks like object identification or OCR.
- Process queued prompt files to generate images using Gemini models, with validation, dry-run, and overwrite options for batch image creation.MIT
- Retrieve available AI models from specific ComfyUI folders like checkpoints, LoRAs, or VAEs to identify files for workflow automation.MIT
- Generate AI images from text prompts. Describe your vision in words to receive a grid of four image variations.MIT
- Upload local files to Fal.ai storage to generate URLs for use with AI models like image-to-video conversion and audio transformation tools.MIT
- Extract file signatures including headers, types, and method prototypes to understand code structure without reading entire files.
- Retrieve BPMN 2.0 XML source for process definitions to inspect or debug process models in the Operaton engine.Apache 2.0
- Discover available AI models for text, image, and video generation on Atlas Cloud, with filtering by type to find specific models and their details.MIT
- Find all references to a method or symbol in a Pharo Smalltalk image. Returns the class, method, and package for each reference.MIT
- Locate visually similar frames across video content by comparing against a reference image or frame ID. Uses Apple Vision analysis to identify matching scenes with adjustable similarity thresholds and result limits.MIT