"Ways to Improve Thinking Skills" matching MCP servers:

Open-source skills that empower any AI agent (Claude, Cursor, Codex, Hermes, etc.) to generate end-to-end marketing campaigns — UGC videos, ad videos, product photography and more. From a product photo and a brief it casts AI actors, picks the best models, and edits finished assets of any length with consistent actor and product. It also researches competitors, publishes, and reviews performance.

MCP server for the OpenGraph.io API -- extract OG metadata, capture screenshots, scrape pages, query sites with AI, and generate branded images with iterative refinement.

MCP server for MiniMax vision models, enabling image analysis through the OpenAI-compatible chat completions endpoint. Supports local image files and remote URLs, with configurable temperature, max tokens, and adaptive thinking.

MCP server for Google's Gemini 3.1 Flash Image that enables fast, high-resolution image generation with advanced reasoning, up to 14 reference images, Google Search grounding, and automatic thinking mode.

Routes one brief to the right image model across 60+ (gpt-image-1.5, Ideogram 3, Recraft V4, Flux), validates the output, and fans out to iOS/Android/PWA/favicon/visionOS/Flutter bundles. Works without an API key via Pollinations, HF Inference, Stable Horde, or host-LLM inline SVG.

MCP server for GPT-4o Image model line, enabling text-to-image task creation, status polling, and pricing checks via RunAPI.

An MCP server implementation that integrates with 4o-image API, enabling LLMs and other AI systems to generate and edit images through a standardized protocol. Create high-quality art, 3D characters, and custom images using simple text prompts.

MCP server for downloading images from Figma designs using access tokens. Supports multiple export formats and scale factors via a single tool.

MCP server that dynamically exposes each enabled ComfyUI workflow as a tool with JSON Schema, supports job submission with wait and idempotency, file uploads, and resource metadata, with both stdio and authenticated Streamable HTTP transports.

A Model Context Protocol server that enables Claude Desktop to generate images using Baidu's iRAG image generation API through a standardized interface.

A TypeScript-based Model Context Protocol server that integrates with Volcengine's Jimeng AI image generation service, allowing users to generate AI images through simple tool calls.

Enables AI agents to create videos programmatically using the Hooked Video API, with tools for avatar selection, voice, music, and various video creation styles.

Enables AI agents and MCP clients to deterministically score creator short-video hooks for 3-second retention and scroll-stop effectiveness, returning structured JSON telemetry. It runs as a zero-dependency Python MCP server for seamless integration with Claude Desktop, Cursor, and Windsurf.

Image Edit RMCP is a powerful Model Context Protocol service that provides OpenAI-like image editing capabilities for text-based models. This Rust-based service enables traditional language models to "see" and process images through comprehensive visual understanding tools. The service offers multi

Enables AI agents to generate barcodes in Code128, Code39, EAN-13, or UPC-A formats via x402 micropayments, returning base64-encoded SVG images with customizable width and height.

MCP server for converting images to WebP and AVIF formats with batch processing and parallel execution.

Enables Claude Code to convert PDF files to high-quality PNG images, download academic papers, and batch process PDFs with automatic folder organization.

Enables printing PNG labels to a nearby thermal label printer over local serial or Bluetooth, with tools for rendering previews, checking printer status, and printing with confirmation.

MCP server that enables AI agents to watch and analyze videos from 1800+ sources, with persistent indexing, OCR, transcription, and a self-verification loop for debugging.

Enables text-only LLMs to understand images by converting them into structured text grids (colors, textures, regions) and OCR via MCP tools. Runs locally with zero external dependencies, providing a skill-based methodology for detailed image analysis.