"Retrieving customer data from Stripe" matching MCP servers:

Enables natural language control of Pure Data patches through Claude AI, allowing dynamic creation, modification, and DSP control via the Model Context Protocol.

Enables automated collection and downloading of multimedia content (images, GIFs, videos) from QQ channels. Features efficient video scraping, incremental updates, and intelligent fallback mechanisms for comprehensive media harvesting.

AI-native timeline editor for short-form video. Your agent cuts, captions, adds motion graphics and renders against a real, editable timeline over MCP — not a render queue. Human-in-the-loop by design: it calls request_review and waits while you supervise in a browser. Local-first and AGPL; your footage never leaves your machine.

Enables agentic interaction with vanilla Pure Data by providing tools for live patch creation, inspection, and manipulation via an MCP server that synchronizes with a Pd bridge patch.

Enables AI assistants to watermark and detect watermarks in images, PDFs and videos through the hosted Etchv API, with synchronous and asynchronous jobs, asset management, customer storage destinations and webhook deliveries.

An MCP server for intelligent YouTube video analysis that provides token-optimized summaries, sentiment analysis, and entity extraction from transcripts. It enables AI assistants to perform video reporting, channel monitoring, and comprehensive YouTube searches through structured data tools.

Enables natural language search and interaction with video content through three tools: ingesting videos to a Ragie index, retrieving relevant video segments based on queries, and creating video chunks from specific timestamps.

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.

Control and live-patch Pure Data from AI agents via the Model Context Protocol.

A Model Context Protocol (MCP) server for searching and retrieving Lottie animations from LottieFiles.

An MCP server that extracts transcripts, metadata, and summaries from YouTube videos across various URL formats including Shorts and standard links. It provides comprehensive video data and insights for analysis within MCP-compatible environments.

Enables users to fetch transcripts and comments from public Loom video URLs. It provides tools to retrieve video text data and discussion threads directly through the Model Context Protocol.

Enables driving TouchDesigner from any MCP client during live rendering, with safe never-overwrite saves, GPU health measurement, and 67 tools for node, parameter, data, and timeline control.

Agent-first video-data API + MCP across 6 platforms (YouTube/Shorts, TikTok, Reddit, Instagram, Pinterest): metadata, insights, Whisper transcript, and parametric frames. Pay-per-call via x402 (USDC) or Stripe.

A Model Context Protocol server for managing, searching, and retrieving local meme images. It automatically hosts memes via a built-in HTTP server to ensure images can be displayed within chat applications.

Enables image processing operations such as resizing, format conversion, cropping, rotating, and retrieving image metadata through the Sharp library.

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.

Enables AI models like Claude to easily access and utilize subtitle data from YouTube videos by extracting transcripts from video URLs with support for multiple languages.

Enables fetching transcripts from YouTube videos by searching for videos based on text queries and retrieving either official transcripts or generating them using AI-powered transcription with Whisper when official transcripts are unavailable.

Enables reading, writing, and removing metadata from over 150 file formats using ExifTool, supporting EXIF, IPTC, XMP, GPS, and manufacturer-specific metadata.