"Enterprise-level Confluence search page supporting version 9.4.11" matching MCP servers:

Enables YouTube video search and audio download via web scraping, requiring no API key.

Official AllVoiceLab Model Context Protocol (MCP) server, supporting interaction with powerful text-to-speech and video translation APIs.

Enables AI agents to cut YouTube clips programmatically via the AppsGolem API, supporting multiple formats, batch cuts, and direct download URLs.

Enables AI agents to extract, analyze, and manipulate images, PDFs, video, and audio while conserving context through downscaling, truncation, and frame/page caps.

An MCP server that enables transcribing local audio files and Telegram voice messages using OpenAI's Whisper via local inference or cloud API. It supports multiple audio formats, automatic language detection, and optional word-level timestamps for AI-powered audio analysis.

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

Enables audio transcription to multi-instrument MIDI files using MuScriptor, supporting local files and HTTPS URLs with safety controls.

Enables AI assistants to transcribe audio and video from URLs or local files with high accuracy, speaker diarization, 119 languages, and word-level timestamps, while also supporting transcription management and caption export in SRT, WebVTT, or plain text.

Provides local audio transcription using whisper.cpp, supporting multiple models and audio formats. Enables transcription of audio files via MCP tools with optional timestamps.

Enables local analysis of PCM WAV files to produce bounded audio observations such as activity segments, clipping indicators, duration, sample rate, peak, and RMS level without uploading recordings.

AI-powered speech tools by Brainiall: pronunciation assessment with phoneme-level feedback, speech-to-text with language detection, and text-to-speech with multiple voices.

MCP server that lets AI assistants control Siglent SDG waveform generators over a local network using natural language, supporting signal generation, modulation, sweep, burst, and arbitrary waveforms.

Enables controlling Behringer WING digital mixers via OSC, supporting fader, mute, pan, and name operations on strips, with raw OSC access for unsupported parameters.

A Model Context Protocol server that allows AI assistants to generate music through the Suno API, supporting custom lyrics and style inputs or inspiration-based creation.

A lightweight server that exposes FFmpeg's video processing capabilities to AI assistants through the Model Context Protocol (MCP), supporting operations like video format conversion, audio extraction, and adding watermarks.

Enables AI agents to control the ScreenSlick browser video editor, supporting tasks like voiceover generation, transcript creation, and video export via a local WebSocket bridge.

Enables LLMs to compose music by describing musical intent using high-level operations like notes, chords, dynamics, and tempo, then renders the composition into standard MIDI files.

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 control of digital mixers (Behringer X32, Midas M32) through natural language commands in Claude Desktop, supporting fader control, muting, EQ, dynamics, effects, scenes, routing, and more via OSC protocol.

MCP server that connects Codex to a local Audacity instance, enabling natural language control of audio editing, generation, analysis, and project management. It exposes validated high-level tools and an allow-listed command layer for safe automation.