"A guide to developing Chrome extensions" 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 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 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 AI agents to list consent-approved cloned voices, render speech into watermarked audio files with quality scores, poll long-running jobs, verify outputs, and guide humans through consent steps, all locally without cloud services.

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 AI coding agents to autonomously generate images, music, and cinematic video directly from their coding environment by connecting to Google Labs and Google Flow through the user's Chrome session.

Enables a coding agent to operate an Elektron Analog Rytm MKII through semantic MCP tools, with validation-first safety, snapshots, and rollback for persistent changes.

Enables users to build and tweak BOSS GT-1 guitar tones and patches through plain-language conversation, with Claude writing amp, drive, and effect settings over USB. It can also listen to the pedal's audio, adjust levels and noise suppression, manage user slots, and run a metronome.

Enables an AI assistant to control a Mooer Prime M2 multi-effects pedal over USB, managing presets, effects, mixer settings, looper, samples, backups, and MIDI assignments through natural-language tool calls.

Enables AI agents to drive your own signed-in ChatGPT web account — asking questions, continuing chats, attaching files, toggling thinking or web search, creating images, transcribing recordings of any length, reading replies aloud, and managing conversations, memories and projects. It runs against a local Chrome tab on chatgpt.com and reports live progress and step-named errors back to the client.

Runs entirely local media tooling as an MCP plugin: it edits and inspects video, denoises/transcribes/normalizes audio, generates images, performs OCR, does offline text-to-speech, drives the user's logged-in Chrome via CDP, and reads or creates Office and PDF documents. Everything executes on the machine through ffmpeg, faster-whisper, MossFormer2, ComfyUI/FLUX, Tesseract, SAPI and Playwright, with no API costs or file uploads.

Lets AI assistants render HTML animations to MP4 or GIF in 16:9, 9:16 and 1:1, preview single frames to check their own work, and finish videos with royalty-free music, AI voiceover, burned-in captions, titles and logos. It renders code frame by frame in a real browser rather than generating video from a text prompt.

Gives MCP clients control of Apple Music, including playlist and library management, catalog search and discovery, playback controls, and the Up Next queue. It works on macOS, Windows, and Linux using a choice of engines — the native Music app, Safari, Chrome, or Apple's web API — needing only a Mac or an Apple Music subscription.

Enables MCP clients like Claude, Cursor, Cline, and Windsurf to search and browse the Apple Music catalog and library, manage playlists and favorites, control playback, and drive the Up Next queue on macOS, Windows, and Linux. It works with just a Mac or an Apple Music subscription, automatically choosing among native Music.app, Safari, Chrome, and Apple Music API engines.

Lets any MCP client search and browse the Apple Music catalog, manage library items, playlists and folders, and control playback and the Up Next queue through natural language. It works across macOS, Windows and Linux by picking among native Music.app, Safari, Chrome and the Apple Music API engines, needing only a Mac or an Apple Music subscription.

Enables any MCP client to search the catalog, manage playlists, library and folders, control playback and the Up Next queue, and read ratings, recommendations and charts. Runs on macOS, Windows and Linux using local Music.app, Safari or Chrome sessions, or Apple's web API, requiring only a Mac or an Apple Music subscription.

Enables controlling Apple Music playlists, library, catalog discovery, playback, and the Up Next queue from any MCP client, using Music.app, Safari, Chrome, or the Apple Music API. Runs on macOS, Windows, and Linux, with a mode preference that picks the best available engine per call.

A beta server that enables integration with Daisys.ai services via the Message Control Protocol (MCP), allowing AI clients like Claude Desktop and Cursor to use Daisys features through a standardized interface.

Gives MCP clients control of Apple Music playlists, library, catalog, discovery, playback, and the Up Next queue across macOS, Windows, and Linux, using Music.app, Safari, the Apple Music API, or Chrome.

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.

Enables MCP clients to search and browse the catalog, manage playlists, library items, ratings and folders, and control playback and the Up Next queue. It runs across macOS, Windows and Linux using four selectable engines—native Music.app, the web API, Safari or Chrome—so a Mac or a subscription is all that's needed.

Gives any MCP client control of playlists, library, catalog, discovery, playback, and the Up Next queue, with four selectable engines spanning a native Mac app, the web API, Safari, and Chrome. Runs on macOS, Windows, and Linux, needing only a Mac or a subscription.