"Information about SQL (Structured Query Language)" matching MCP servers:

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.

Facilitates the creation of DecentSampler drum kit configurations, supporting WAV file analysis and XML generation to ensure accurate sample lengths and well-structured presets.

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.

An MCP server that enables the extraction of transcripts and detailed metadata from YouTube videos. It allows users to retrieve video information like titles and descriptions, as well as transcripts with optional timestamps and language selection.

Inspect local video and audio files with ffprobe, returning structured metadata such as format, duration, bitrate, and stream info.

Extracts and formats Bilibili video content into structured text for LLM processing and analysis.

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

Enables natural language creation and refinement of Blender scenes through structured MCP tools, with persistent object identity, visual validation, and reversible edits.

A powerful MCP tool for parsing and manipulating MIDI files that allows users to read, analyze, and modify MIDI files through natural language commands, supporting operations like reading file information, modifying tracks, adding notes, and setting tempo.

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.

Enables users to stream or download YouTube video information and direct links via the Ytstream API. It supports geographic optimization and language selection for better download speeds and audio availability.

Enables AI agents to turn natural-language creative direction, transcripts, and source media into fully structured, editable video projects, then verify and render delivery files.

Enables AI agents to generate QR codes for URLs, WiFi, contacts, and more with structured parameters.

Enables AI agents to operate a fully text-driven DAW, allowing them to create, edit, analyze, and compare music projects through natural language and structured text without needing audio or visual feedback.

Provides audio inspection, conversion, processing, and generation capabilities via SoX, enabling AI agents to 'hear' and manipulate audio files through structured JSON interfaces.

Enables AI clients to create, edit, validate, preview, and render Shotcut projects (saved as MLT XML) without operating the GUI, using structured timeline editing tools and local safety mechanisms.

Converts plain text scripts into structured storyboards with shot breakdowns using LLMs, and optionally generates visual frames via Stable Diffusion and assembles them into vertical videos for rapid content prototyping.