"How to connect to my AWS accounts" 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.

Enables AI agents on Windows to control Photoshop, After Effects, Illustrator, and Affinity through local MCP connectors, and to access account-based creative tools for styles, recipes, images, video, voice, and music.

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.

Enables integration with Oomol Connect for executing tasks, managing blocks and packages, and uploading files. Supports task execution with real-time progress monitoring and intelligent polling across audio, video, and other processing workflows.

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 users to turn raw video clips into finished, beat-synced montage cuts through natural-language chat, with the agent selecting shots, matching music, adding subtitles and transitions, and rendering the final video.

A local MCP server that lets chat-based coding agents turn a folder of raw clips into finished, beat-synced montage videos by handling shot selection, music matching, subtitles, transitions, and rendering through natural language. It returns a timeline digest and contact sheet for approval before any frame is rendered.

Enables users to turn raw video clips into finished, beat-synced montages through natural-language chat, with automated shot selection, music matching, subtitles, transitions, and picture-in-picture. It returns reviewable timelines and contact sheets before rendering on approval.

A local MCP server that lets AI coding agents turn a folder of raw video clips into a finished montage from a single natural-language prompt, handling clip analysis, shot selection, beat-synced cuts, music matching, subtitles, transitions, and picture-in-picture. Each turn returns a reviewable timeline digest and contact sheet so nothing is rendered until the user approves the plan.

Turns a folder of raw footage into a finished, beat-synced montage from a natural-language prompt, handling clip analysis, shot selection, music matching, subtitles, transitions, and rendering inside chat agents. Every turn returns a reviewable timeline digest and contact sheet so nothing renders until approved.

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 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.

Official Model Context Protocol (MCP) Server for QuickerSpot — AI-powered commercial radio and retail sound automation. Connect your AI Assistants (Cursor IDE, Claude Desktop, Antigravity, Hermes Agent, OpenClaw) directly to QuickerSpot's ElevenLabs V3 voice engine, AI script generator, and indoor radio mixer.

allows to connect local natural TTS

Enables AI-powered manipulation of Cardinal/VCV Rack modular synthesizer patches, allowing users to create, analyze, modify, and connect modules and cables through natural language.

Enables free Spotify accounts to read Liked Songs, search the full catalog, and control playback across any Spotify Connect device such as Chromecast, TV, phone, or desktop without Premium.

Enables Claude to discover and connect to Behringer digital mixers over OSC, read and write parameters, dump subtrees to show files, and push edited files back to the desk.

Enables MCP-compatible AI assistants to control Spotify Premium accounts by searching music, managing playback and devices, handling queues, creating and editing playlists, and browsing or modifying the library.

Enables MCP clients to connect to a running MAGDA instance over stdio and access its native composition tools, resources, and resource templates, while providing instance discovery, fixed-instance connection, credential recovery, diagnostics, and compatibility checks.

Enables consent-based jam-session analysis that identifies creative near-misses, reconstructs approach-to-abandonment event graphs, and walks users back to resume or export MIDI/audio seeds through stateful MCP tools.

Gives AI agents access to the StarSinger AI music catalog for searching, streaming, and browsing tracks, and also allows creating songs with real vocals.

Connect your Alice recordings and transcripts to the AI tools you already use — Claude, ChatGPT, Gemini, Grok, Perplexity, and any other MCP-compatible client. The Alice MCP Server turns your secure voice archive into a queryable knowledge base. Search across hundreds of hours of recordings, retrieve full transcripts, surface insights, and automate workflows — all with natural language.

Enables agents to compare a processed audio file against its reference and report how much perceptual quality was lost, using PEAQ ODG, ViSQOL MOS-LQO and an optional licensed POLQA binary, plus waveform, loudness and Bark-band spectral metrics. Runs headless over stdio, installs itself with uv, and returns rankings across codecs or bitrates.

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.