"MCP servers built with alternative programming languages" matching MCP servers:

Enables chat-driven audio analysis and enhancement using local Claude, including denoising, EQ, compression, and loudness normalization, with an A/B viewer for synchronized comparison.

Dual-mode tool server for controlling Spotify through terminal or AI assistants like Claude or ChatGPT.

Enables comprehensive management of Anki decks and notes through the Model Context Protocol, including bulk operations and note type customization. It features integrated high-quality audio generation for flashcards using ElevenLabs and Google Cloud Text-to-Speech APIs.

Text to speech for MCP clients. Reads numbers, dates and order IDs correctly. 23 languages, six voices, every render watermarked. Free key with 100,000 characters, no card.

Give your AI agent a voice with x402 pay-per-call speech synthesis, offering 20 voices, 10 personas, 31 languages, and granular controls.

Text to speech in 149 languages: MP3 links from any assistant. Free without an account. 2,253 voices; PRO adds HD voices, WAV, dialogue with a voice per speaker, Script mode timing and transcription.

Enables MCP clients such as Claude Code, Cursor, and VS Code to generate speech through three MiMo TTS models: nine built-in voices (with singing and style/audio tags), voices designed purely from a text description, and voices cloned from a local mp3/wav sample. Audio is streamed and written only inside a sandboxed output directory, with non-overwriting filenames.

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.

Enables AI assistants to generate and control real-time audio synthesis through natural language descriptions using SuperCollider. Features 10 built-in synth types, pattern sequencing, audio recording, and server lifecycle management for creating sounds from simple English descriptions.

Enables transcription of local audio files and YouTube links in over 40 languages, including translation between supported languages and English, by calling an already-running Nemotron 3.5 Transcribe endpoint. Long recordings are automatically split at pauses and processed piece by piece, with optional speaker repetition at joins.

Transcribes videos from 1000+ platforms (YouTube, TikTok, Vimeo, etc.) and local video files using OpenAI's Whisper model, with support for 90+ languages and multiple output formats.

An LLM-friendly Model Context Protocol server for video and audio editing, built on MoviePy v2 and FastMCP. It lets MCP clients trim, merge, resize, overlay, mix audio, and render video through natural language.

Enables text-to-speech synthesis using Coqui TTS with multiple models and languages, long-text chunking, customizable speed and speaker settings, and voice cloning from reference audio.

Enables MCP clients to play a fixed built-in audio track and display native Windows/macOS desktop notifications through stdio.

Controls Lyngdorf Audio devices (TDAI, MP, CD series) via TCP with automatic device discovery, comprehensive audio controls including volume, source selection, RoomPerfect, and playback management with built-in safety features.

A MCP server that enables transcription of audio files using OpenAI's Speech-to-Text API, with support for multiple languages and file saving options.

Enables an AI agent to control a running Cakewalk SONAR instance — transport, views, dialogs, CAL, MIDI files and real-time MIDI — by probing the host build and using whichever transport actually works (window-message IPC, native menu commands, UI Automation clicks on track strips, or a loopMIDI cable). When a tool cannot run it explains why and which alternative to use instead of timing out.

Enables configuring Morningstar MIDI foot controllers using natural language, including switch mapping, MIDI CC lookup, conflict detection, and USB programming.

Enables MCP clients such as Claude, Cursor and VS Code to synthesize speech locally in 31 languages, saving mp3, wav or ogg files, listing and installing catalog voices, and playing audio back through the system player — offline after the first run with no usage limits.

Enables Claude and other MCP clients to generate local, offline text-to-speech audio in 31 languages, manage and install voices, and save or play audio files.

Transcribe public videos and audio (YouTube, TikTok, Instagram, Facebook, Pinterest, Google Drive) into accurate, timestamped text from Claude, ChatGPT, Cursor or any MCP client. Spanish, English and dozens of languages auto-detected. Poll-based (transcription takes minutes), same free-beta limits as the app. Docs: https://justtranscribe.ai/mcp

An MCP server that lets an AI assistant turn written text — or prose it writes itself — into narrated audiobooks with chapter-marked .m4b files, using local Kokoro voices entirely offline and free. It supports 54 voices across 9 languages, adjustable speed, voice blending, and chapter-level resumable rendering.

Enables AI assistants to convert text to high-quality speech audio using MeloTTS. Automatically splits long texts into segments, generates WAV files, and merges them using ffmpeg with support for multiple languages and customizable speech parameters.

A text-to-speech MCP server with 48 voices across 9 languages, supporting emotion spans, SFX tags, and multi-speaker dialogue. Deployable via a single npx command with built-in guardrails and swappable backends.

Enables MCP clients to speak text aloud on macOS using the built-in say command, with no external speech API or keys, and to list available voices and control rate or voice selection. Requests from multiple client threads share a single FIFO playback worker, so speech plays one item at a time and can be inspected, stopped, or muted in hold or discard mode.

Enables Claude Code and Codex to play spoken alerts on a Mac when a task finishes or user attention is needed, using built-in or custom voice lines while staying quiet during keyboard use, calls, Focus modes, or configured locations.

Enables text-to-speech generation with emoji vocal cues like whispers, sighs and kisses, plus multi-voice scenes where each segment uses its own voice and language across 29 voices and 22 languages, secured by OAuth 2.1.

Hosted text-to-speech MCP server for AI agents with 54 neural voices in 9 languages, including Brazilian Portuguese. Pay-per-use API, no GPU or subscriptions needed.

Enables converting text to speech audio in 20+ languages, returning base64-encoded MP3 output via Google TTS with x402 micropayment-based pay-per-call access.

Plays built-in Windows system sounds or WAV files to notify users when tasks finish or need attention, using the winsound module. Provides a single play_sound tool with presets and customizable file paths, repeats, and intervals.