"Information about Cloudflare Workers" matching MCP servers:

Enables AI assistants to retrieve transcripts from YouTube videos via a serverless API deployed on Cloudflare Workers.

An MCP server that reads and builds CapCut projects locally, enabling natural language queries about project contents, missing media, and creation of new edits including beat-synced cuts.

An MCP server that parses Douyin share links and performs intelligent content analysis using the Doubao video understanding model. It provides structured outputs including video summaries, categorized outlines, and step-by-step tutorial information.

MCP server for GIF animation analysis. Provides metadata extraction, individual frame export, and per-frame timing information.

An MCP server for OBS Studio that subscribes to events and maintains a history, enabling queries about audio levels, source states, and past actions rather than only one-shot requests.

Enables AI agents to monitor, manage, and operate a Tdarr transcoding farm by inspecting nodes, workers, queues, libraries, plugins, and job reports, and by triggering scans, requeues, and worker actions.

About MCP server for image conversion, resizing, and merging — runs locally, no uploads

Enables AI-powered YouTube video analysis including transcript management, video summaries, chapter generation, keyword extraction, and playback control. Supports searching videos, retrieving channel/playlist information, and translating transcripts using Google Gemini AI.

An MCP server for parsing and analyzing Ableton Live .als project files offline, enabling queries about tempo, tracks, clips, and MIDI data through tools like als_summary and als_list_tracks.

MCP server for interacting with Tdarr, a distributed transcoding system. Provides 21 tools for monitoring workers, managing flows, and controlling transcoding libraries.

Provides multi-provider image generation with automatic fallback across services like Pollinations.ai, Cloudflare, and Hugging Face. It features specialized pixel art generation, cost tracking, and automatic saving of generated visual assets to disk.

封装豆包 Seedream 图像生成模型为 MCP 服务，支持文生图、图生图、组图及联网搜索生图，部署在 Cloudflare Workers 上

An MCP server that lets Claude Desktop watch videos from YouTube, Instagram, Facebook, or direct URLs, extracting transcripts and key frames to summarize and answer questions about video content.

A remote MCP server that enables Claude AI to extract YouTube video transcripts through a zero-setup, cloud-hosted solution with multi-language support, smart caching via Cloudflare KV, and robust error handling.

Enables AI agents to run headless creative production workflows by turning declarative CreativeSpec documents into validated media deliverables through MCP tools, durable workers, and provider adapters.

Enables Codex and other local stdio MCP hosts to freeze video inputs and ASR word clocks, assign adjacent paragraph work to up to four equal-role workers, validate and assemble Canvas submissions, and render/export silent MP4 videos with proof and sample-frame status checks.

Enables AI models to extract transcripts from YouTube videos in multiple languages with zero local setup. It supports all YouTube URL formats and features smart caching via Cloudflare Workers for fast responses.

Gives coding agents the ability to hear and reason about audio by describing sounds, matching them to text, locating key moments, detecting realness, generating timelines, and critiquing soundtracks. It also lets agents synthesize and iteratively improve their own sounds in code.

Integrates with Freesound.org to enable searching, discovering, and previewing audio content such as sound effects and music loops. It provides detailed metadata and licensing information to support video editing and content creation workflows.

Enables extraction of YouTube video information including metadata (title, description, channel, views) and transcripts without requiring an API key, using yt-info-extract and yt-ts-extract libraries.