"Automating a QA End-to-End Workflow" matching MCP servers:

An MCP server that enables automated quality control for generated images, evaluating them against reference images and rules to return structured scores and issues.

A lightweight MCP server that bridges AI agents with a local ComfyUI instance, enabling them to generate and iteratively refine images, audio, and video through conversational tool calls.

This MCP server bridges to the Tuba.ai platform, enabling programmatic control of AI vision workflows through callable tools such as running workflows, checking status, fetching results, and updating workflow blocks.

Enables agents to verify educational, scientific, and engineering visuals by extracting structured evidence and running domain-specific checks against specs and theory.

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 ingesting UI screenshots, Figma MCP node JSON, or hybrid Figma-plus-screenshot sources into a cross-platform design-to-code artifact pipeline.

Enables LLM agents to process local videos into timestamped, citable text documents and then query them through tools for listing videos, retrieving transcripts, and fetching specific segments, all fully offline.

Records a browser window while Claude drives it and converts the recording into labelled contact sheets, key frames, and an action-correlated timeline for evidence-based evaluation. macOS 15+ only.

Enables 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.

Provides governed MCP tools for a controlled, AI-assisted asset-change pipeline, featuring natural-language requests, mandatory approvals, execution-time revalidation, and complete audit.

An MCP server for generating images and checking generation status through ComfyUI's API. It allows interaction with local ComfyUI instances by providing workflow-based image generation and status checking tools.

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

This MCP server provides tools for OCR and keyword extraction, enabling AI workflows to be split into discrete steps for easier testing, tuning, and cost control.

Converts local images or remote image URLs to Base64 format via the MCP protocol, enabling AI assistants to process images.

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.

Enables AI agents to generate, execute, and compile interactive Manim slide presentations through MCP tools.

MCP server that lets AI agents drive a remote ComfyUI instance end-to-end, including queueing workflows, viewing outputs, downloading models, and authoring graphs via ComfyScript.

Enables MCP clients to drive Open Reality OS end-to-end: upload scans, follow reconstruction jobs, sync scenes as context, run measurements and path planning, execute scene agents, and export robot-training data to disk.

MCP server that lets AI assistants manage Roblox thumbnails end to end, including performance tracking, generation, publishing, auto-rotation, and Discord team notifications.

MCP server that lets AI assistants control Adobe After Effects - ExtendScript execution, background rendering, and deep project/layer inspection - with first-class Arabic/RTL and multilingual support. 44 tools.