"A guide to technical report writing" matching MCP servers:

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.

Text-to-speech MCP server that enables AI assistants to read text aloud on the user's computer using Windows SAPI, with no API key or cloud service required.

Enables conversion of YouTube videos to MP3 format through the Youtube To Mp315 API. Supports checking conversion status, retrieving video titles, and asynchronous video-to-audio conversion with customizable quality and time range settings.

Enables downloading videos from platforms like YouTube and converting them to text using OpenAI Whisper and ffmpeg. It supports multiple output formats including TXT, JSON, SRT, and VTT for transcriptions.

An MCP server that provides speech-to-text transcription and speaker diarization using OpenAI Whisper and pyannote.audio.

Enables users to convert text into high-quality audio by accessing the OpenAI Text-to-Speech API. It supports customizable model selection and voice options for synthesized speech generation via the MCP protocol.

An MCP server that enables voice-to-voice AI conversations using ElevenLabs for speech synthesis and recognition, with tools for voice management, text-to-speech, and speech-to-text.

A server that generates MP3 audio files from text using Kokoro TTS technology with optional S3 upload capabilities.

Enables submitting audio via URL or Base64 for local Whisper transcription, then checking job status and results or deleting transcription jobs. It provides asynchronous job handling and SSRF-protected downloads/callbacks without cloud API calls.

Enables MCP-capable chat clients to synthesize speech from text, convert it with a local RVC voice model, and render the result in an inline audio player.

Enables an AI agent to compose chiptune music by directly reading and writing Lovely Composer's .jsonl project files, including melodies, bass, drums, chords, tempo, and loop points.

Enables AI assistants to control a live REAPER DAW session on macOS in real time, including track creation, MIDI writing, FX management, and transport control.

Enables an agent to inspect an audio folder and report what is inside each file — duration, sample rate, channels, codec and bitrate — and to group byte-identical files, identical decoded audio stored in different containers, and near-duplicate candidates, with suggested keeps and explicit differences, all read-only.

Enables AI agents and MCP clients to drive Ableton Live 12 end to end, from setting tempo and building instruments through writing MIDI, arranging, mixing, bouncing and mastering. Adds real-time rendering plus loudness and spectral analysis and multi-format encoding with tags and artwork, for turning an empty set into a release-ready track.

Control Logic Pro locally on macOS through MCP: transport, tracks, mixer, plug-in parameters, audio analysis, bounce and delivery, with optional gesture and voice control. Uses OSC, CoreMIDI and macOS Accessibility. Actions report confirmed, uncertain or failed outcomes. Actual control requires a local Mac with Logic Pro. Hosted/Linux builds are schema inspection only; all operations are disabled.

MCP server for reading, writing, and compiling music notation, enabling multi-agent collaboration on scores without conflicts.

Enables AI assistants to control Ableton Live through MCP, allowing MIDI writing, audio import, device parameter adjustment, clip arrangement, and playback control over a localhost-only connection.

Enables MCP-capable AI agents to control REAPER through typed tools and a Lua escape hatch for project creation, track management, recording and editing, MIDI writing, mixing, rendering, and batch operations.

Enables audio file analysis using Google's Gemini multimodal models with support for additional context and system instructions to guide the model's behavior.

Enables Claude or any AI agent to operate Live 12 Intro end to end: creating tracks and scenes, writing and quantizing MIDI clips, loading audio onto the Arrangement timeline, setting device parameters in real units, drawing clip automation, mixing with real sidechain, and rendering or analyzing audio so the agent can check its own work. It exposes 57 tools over MCP or a local JSON socket, working within the stock Intro edition's 16-track, 16-scene limits.