"How to connect to my AWS accounts" matching MCP servers:

MCP server that converts PDF, video, web, and audio inputs into structured Markdown notes with support for checkpointing, batch processing, and Obsidian integration.

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 AI agents to control a Live2D desktop pet's expressions and actions via MCP protocol.

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.

A local MCP server for Cursor that converts Markdown files and Mermaid diagrams to JPEG images with configurable dimensions and quality.

Enables MCP clients to turn direct video URLs and chosen start/end times into ready-to-post vertical 9:16 MP4 clips with animated burned-in captions, thumbnails, and SRT files, including batch processing for multiple highlights.

An MCP server that automates converting diverse content sources like WeChat articles, YouTube videos, and various document formats into AI-generated outputs such as podcasts and slide decks via Google NotebookLM. It integrates specialized tools for web scraping, OCR, and file transformation to facilitate seamless content generation through natural language.

Enables conversion of YouTube videos to MP3 format through the Youtube To Mp315 API. Supports checking conversion status, retrieving video titles, and asynchronous video-to-audio conversion with customizable quality and time range settings.

Enables downloading videos from platforms like YouTube and converting them to text using OpenAI Whisper and ffmpeg. It supports multiple output formats including TXT, JSON, SRT, and VTT for transcriptions.

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 that converts Markdown files containing Mermaid diagrams into PDF documents by rendering diagrams as SVG images. It provides a specialized tool to automate document conversion while ensuring all visual charts are correctly embedded in the final output.

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.

Enables AI agents on Windows to control Photoshop, After Effects, Illustrator, and Affinity through local MCP connectors, and to access account-based creative tools for styles, recipes, images, video, voice, and music.

Enables AI clients to generate animated videos from natural language prompts, handling scriptwriting, voiceover synthesis, and MP4 rendering.

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.

A Model Context Protocol server that converts PDF documents into PNG images through a simple MCP tool call.

Enables integration with Oomol Connect for executing tasks, managing blocks and packages, and uploading files. Supports task execution with real-time progress monitoring and intelligent polling across audio, video, and other processing workflows.

Enables chat-driven video editing by letting an MCP host analyze raw clips and produce finished, beat-synced montages with matched music, subtitles, transitions, and picture-in-picture, all previewed as a timeline digest before rendering. It runs locally through agents such as Claude Code, Codex, Hermes, and OpenCode.

Enables users to turn raw video clips into finished, beat-synced montage cuts through natural-language chat, with the agent selecting shots, matching music, adding subtitles and transitions, and rendering the final video.

Enables an AI agent to ingest raw video clips, plan and edit a montage from natural-language prompts, and produce a rendered, beat-synced cut with matched music, subtitles, transitions, and picture-in-picture.

Enables users to turn raw clips into finished, beat-synced montage videos through natural-language chat, including shot selection, music matching, subtitles, transitions, and picture-in-picture. It lets agents analyze footage, plan and review cuts before rendering, and export final edits without a GPU or timeline editor.

Enables coding agents such as Claude Code, Codex, Hermes, and OpenCode to turn a folder of raw clips plus a plain-language brief into a finished, beat-synced montage, handling shot selection, music matching, subtitles, transitions, and rendering. Each turn returns a timeline digest and contact sheet so the cut can be reviewed before any frames are rendered.

A local MCP server that lets chat-based coding agents turn a folder of raw clips into finished, beat-synced montage videos by handling shot selection, music matching, subtitles, transitions, and rendering through natural language. It returns a timeline digest and contact sheet for approval before any frame is rendered.

Enables users to turn raw video clips into finished, beat-synced cuts through natural-language chat with compatible agents, handling shot selection, music matching, subtitles, transitions, and rendering while allowing review before export.

Enables Claude Code, Codex, Hermes, OpenCode, and other MCP hosts to turn natural-language prompts over raw video clips into finished, beat-synced montage edits with music matching, subtitles, transitions, and picture-in-picture, while returning reviewable timeline digests and contact sheets before rendering.

Turns a folder of raw clips plus a plain-language prompt into a finished, beat-synced montage, handling shot selection, music matching, subtitles, transitions, and picture-in-picture from within a chat agent. Returns a reviewable timeline digest and contact sheet before any frame is rendered.

A local MCP server that lets an AI coding agent turn a folder of raw clips into a finished, beat-synced montage from a plain-language brief. It handles clip analysis, shot selection, timeline planning, music matching, subtitles, transitions, and rendering, returning a reviewable timeline digest and contact sheet before any frame is exported.

Enables users to turn raw video clips into finished, beat-synced montages through natural-language chat, with automated shot selection, music matching, subtitles, transitions, and picture-in-picture. It returns reviewable timelines and contact sheets before rendering on approval.

Enables users to turn folders of raw clips into finished, beat-synced montage videos through natural-language chat, handling shot selection, pacing, music matching, subtitles, transitions, and rendering. It returns a readable timeline digest and contact sheet each turn so the cut can be reviewed and approved before anything is rendered.

A local MCP server that turns plain-language chat prompts about a folder of raw clips into finished, beat-synced montage videos — handling shot selection, music matching, subtitles, transitions, and picture-in-picture, and returning a reviewable timeline digest and contact sheet before anything renders. It works from Claude Code, Codex, Hermes Agent, or OpenCode, so editing happens entirely in chat with no timeline software or GPU.