"a-guide-to-building-a-website" matching MCP servers:

MCP server for Veo 3.1 video generation models, enabling task creation (extend, text-to-video, upscale), status polling, and pricing checks via RunAPI.

Enables LLM-driven inspection, building, modification, and visual review of Adobe After Effects compositions through structured scene-level operations and a CEP-to-ExtendScript bridge.

该MCP服务器使AI助手（如Claude Code、Codex）能够通过桥接目录和CEP面板与Adobe Premiere Pro交互，支持素材扫描、编辑规划、粗剪执行等操作，强调先规划后执行和人工复核。

Exposes Open Video Guide functions to MCP clients, enabling conversion of tutorial videos into illustrated, verifiable guides with timestamps, evidence, and review states.

Enables Claude or any MCP client to build, animate, preview, and render motion graphics in a live Adobe After Effects project, including comps, layers, keyframes, effects, cameras, masks, and renders.

Enables uploading, arranging, merging, and downloading PDFs through an MCP-compatible LLM client by interacting with a PDF Merger API.

Enables MCP-capable AI models to write, validate, and render Manic animations using the Manic platform's authoring guide and API, without any AI generation credits.

Thin MCP server that enables AI agents to generate video, image, and audio content via the Deepy API using a personal API key, with safe generation flow and no business logic.

Enables AI assistants to convert CSS-animated SVGs into videos (MP4/WebM/MKV/MOV) and animated images (aPNG/GIF) with frame-accurate rendering and transparency support.

Enables MCP-compatible agents to access KaiRouter's video generation API, providing tools to list available video models, generate videos (text-to-video or image-to-video) asynchronously, check job status, and list recent jobs.

Enables AI agents to master audio tracks to target LUFS/True Peak levels, remove Suno/Udio AI fingerprints, and retrieve mastering passports via a hosted MCP server.

Enables an AI agent to drive a running Adobe After Effects, inspecting projects and editing comps, layers, effects, keyframes, text, masks, expressions, and rendered frames through natural language. It provides a small tool surface with dry-run validation and undo-grouped operations for safe autonomous use.

Enables AI assistants to decode QR codes from images, with tools for scanning full images and enhancing blurry or reflective regions before decoding, plus quality diagnostics to guide retry strategies.

A Model Context Protocol server that enables fetching and processing images from URLs, local file paths, and numpy arrays, returning them as base64-encoded strings with proper MIME types.

Turns plain-language descriptions into animated SVGs with a live preview and conversational editing.

Enables Gemini-powered multimodal analysis (video, audio, image, documents), Google search, and code execution via the API易 service. Supports Docker deployment and flexible configuration.

Enables agents to put sensory stimuli directly into the user's UI through typed, policy-gated actions such as highlighting on-screen content, spawning persistent audio-visual presences, and holding reference artifacts.

Enables AI agents to search, watch, summarize, clip, and extract transcripts from YouTube videos, all without needing an API key or leaving the chat.

Enables local control of Adobe After Effects via MCP, offering offline creative skills, project inspection, and operation execution without cloud relay or an installed AE panel.

AI image generation with 6 Flux models (flux-dev, flux-pro, flux-kontext) including context-aware image editing, async task management, and built-in model guide.