"Resources or guides related to documentation" 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 detection of AI-generated content in images, videos, audio, and text via the AI or Not API. Supports media analysis tools for deepfakes, synthetic voices, and AI-written text.

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.

MCP server for audio transcription using OpenRouter models, supporting verbatim, cleaned, and custom transcription modes.

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.

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.

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 MCP clients such as Claude to generate spoken audio locally, narrating English with Kokoro and Malayalam with IndicF5, Parler-TTS, Piper or MMS, including cloned Malayalam voices, pronunciation lexicons, and number/currency expansion. Outputs loudness-normalised WAV or MP3 and runs long narrations through a pollable job queue so tool calls never time out.

Enables AI clients to transcribe YouTube links and uploaded audio or video files, then retrieve the resulting transcripts as text, SRT, VTT, or JSON with timestamps and optional speaker labels. Also supports paging through long transcripts, checking upload progress, listing or deleting jobs, and viewing remaining account minutes.

MCP server for SpeechWeave transcription, enabling AI assistants to transcribe local files and URLs via wait-first or async tools.

Enables MCP clients to transcribe local audio files or public audio URLs into plain text, JSON with word timestamps, or SRT/VTT subtitles, with options to save output to a file.

Enables 小智AI to search songs across multiple free music sources, resolve direct playback URLs, and stream audio to devices via the ResourceLink/resources/read protocol.

Enables agents to search loudspeaker drivers, retrieve Thiele/Small parameters, design sealed or vented boxes, and simulate SPL, impedance, and excursion responses using the OpenISD physics engine.

Enables AI agents to inspect and control Q-SYS audio/video systems via the QRC protocol over TCP, against a real Core or Q-SYS Designer emulator.

MCP server integrating VolcEngine for automatic speech recognition (ASR) and text-to-speech (TTS), converting audio to text or text to audio files.

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.

Locally converts a known BPM into per-beat, eighth-note, sixteenth-note, and bar durations, compares two reported tempos to flag possible half/double-time interpretations, and lists nearby Camelot codes for a key estimate. Runs over stdio with no audio, account, or network access required.

Enables access to a backend's native MCP tools and broader HTTP API for speech generation, voice cloning/design, transcription, dubbing, translation, subtitles, audiobooks, and related batch/long-form workflows over Streamable HTTP or local stdio.

An official Model Context Protocol (MCP) server that enables AI clients to interact with ElevenLabs' Text to Speech and audio processing APIs, allowing for speech generation, voice cloning, audio transcription, and other audio-related tasks.

Turns Ableton Live into an MCP-accessible control surface, providing tools for controlling transport, tracks, clips, and devices, as well as resources for reading live state.

Control DaVinci Resolve Studio from MCP clients. Provides tools and resources for editing, color grading, Fusion compositing, audio, playback, and rendering.

Enables asynchronous image, video, and music generation tasks with status queries, cancellation, and reference-material inputs, exposing finished works through aigc://artifacts resources and completion notifications. Providers are explicitly configured and disabled by default, with outputs retrieved via read or resource queries.

Provides local MCP tools to search and retrieve CC0 sound effects by keyword, category, duration, or ID, along with metadata, previews, and WAV/MP3 download URLs.

Enables MCP-compatible clients to generate images and videos, synthesize speech, clone and design voices, and create related media outputs.

Exposes the program's push-to-talk transcript history to MCP clients such as Claude Desktop and Claude Code, letting them fetch recent or latest transcripts, query results by time window, range, or ISO timestamp, search text, look up records by id, and read counts, runtime status, or clear history. Each result carries millisecond-precision hold start/end timestamps alongside the transcribed text.

Enables UI-first automation and inspection of FL Studio on Windows, using actual GUI input and UIA or screenshot-confirmed targets to create and edit musical elements, with read-only bridge and FLP verification. It supports tested Piano Roll, Playlist, Sytrus, and Mixer workflows while failing safely on unknown layouts.