"MT5 Trading Platform" matching MCP servers:

Enables comprehensive audio file analysis and metadata extraction with specialized game audio development features, supporting batch processing of multiple formats and providing platform-specific optimization recommendations.

An MCP server that enables text-to-speech generation and phonetic kana conversion using VOICEROID2 via voiceroid_daemon. It supports customizable voice parameters and provides cross-platform audio playback for synthesized speech.

Enables interaction with the RedPanal audio platform to list, detail, download, and upload audio files.

Enables local-first, cross-platform audio calibration workflows combining REW-guided measurement, conservative EQ analysis, DSP export/apply adapters, and measured post-change verification.

Enables AI agents to narrate internal thoughts, announce tool actions, and speak final responses aloud through local cross-platform text-to-speech. It exposes dedicated audio tools over stdio JSON-RPC for MCP-compatible clients.

Enables call-recording upload and retrieval, compliance metadata and tag management, group/account/user administration, REST-hook (webhook) notifications, and Dub.Point telecom-system integration against the Dubber platform. All destructive operations are consent-gated and confirmation-protected.

Enables local, CPU-only audio post-production through tools for denoising, LUFS loudness normalization, silence removal, format conversion, pitch shifting, and speed changes. Supports podcast and video platform loudness compliance workflows.

Enables creators to generate short-video voiceover scripts with platform-adapted hooks, key points, and closings, search a golden-quote library, split copy into subtitle lines with estimated timelines, get topic suggestions, and turn a topic into TTS audio plus SRT subtitles in one command. Runs fully locally and offline as part of a Chinese content-creation MCP suite.

Enables any MCP client to control Apple Music playlists, library, catalog, discovery, playback, and the Up Next queue on macOS, Windows, and Linux using selectable native, API, Safari, or Chrome engines. Provides catalog and library search, playlist and folder management, ratings and favorites, playback controls, queue management, AirPlay selection, and cross-platform support with or without an Apple Music subscription.

An MCP server that integrates with Daisys AI platform to enable audio processing tasks, such as recording, transcription, or generation, through natural language commands.

Enables MCP clients to control playlists, library, catalog, discovery, playback, and the Up Next queue across macOS, Windows, and Linux using native, API, Safari, or Chrome engines. Requires a Mac or an Apple Music subscription and supports local library actions plus cross-platform catalog access.

Enables MCP clients to control Apple Music across macOS, Windows, and Linux, covering playlists, library, catalog search, discovery, playback, and the Up Next queue through native, API, Safari, or Chrome engines. It supports accountless local use on macOS and cross-platform operation with an Apple Music subscription.

Enables control of Apple Music playlists, library, catalog, discovery, playback, and the Up Next queue from any MCP client, using four engines that work on macOS, Windows, and Linux. Requires only a Mac or an Apple Music subscription, supporting native app playback, cross-platform API access, and browser-based DRM audio.

Official MCP server for SpicyAPI, an unrestricted AI API with no platform content filter: browse 200+ image, video, audio and chat models, get exact USD quotes, upload local files, create generation tasks and collect results, with a confirmation before every paid step.

Local music video toolkit: BPM, key and Camelot detection, best 15/30 s clip, beat-synced shot lists, Spotify Canvas maker and platform specs. Runs on your machine with ffmpeg, no API key.

A Model Context Protocol (MCP) server that provides comprehensive video tools: transcript retrieval, video downloading, and automatic subtitle generation using AI speech-to-text. Works with YouTube, Bilibili, Vimeo, and any platform supported by yt-dlp.