"List of Servers Running as Docker Containers" matching MCP servers:

Pay-per-call x402 APIs for AI agents: DeFi token safety (honeypot/tax simulation, A-F grade), EVM chain data, web access (markdown/screenshot/PDF), speech-to-text. USDC on Base, no account, no API key

Enables agents to access OpenAI-compatible transcription, live ASR, text-to-speech, voice cloning, phoneme recognition, and server-side file staging through streamable HTTP MCP tools.

Enables AI agents to perform comprehensive audio processing—stem separation, analysis, transcription, restoration, speech processing, and generation—through a unified self-hosted API with asynchronous jobs and webhooks.

Enables continuous voice conversation with AI coding assistants by locally transcribing speech with Whisper and delivering utterances as text prompts.

Lets AI assistants understand what you're working on — current screen content, recent dictation, clipboard, and saved notes — running entirely on your own machine with nothing sent to the cloud.

Let your AI agent call your phone and talk to you — MCP servers for live, interruptible voice calls + tiered alerts, using free self-hosted pieces (pjsua2 + whisper.cpp + Linphone). No paid telephony, no extra API key.

MCP server for local speech-to-text using Whisper Large V3 (MLX), enabling audio transcription with text/timestamps/SRT output and LLM-based correction, all running offline on Apple Silicon.

Enables MCP clients such as Claude Code, Codex and Cursor to retrieve timestamped transcripts of public YouTube videos, either from cache, from native captions, or via asynchronous audio-generation jobs that are polled by job ID. It returns the source URL, selected language and millisecond-offset segments without summarizing the video itself.

Provides browser automation, audio transcription, and LLM chat as MCP tools for any agent.

Provides programmatic access to Apple Voice Memos on macOS, enabling AI assistants to list, retrieve details, get audio, and transcribe recordings.

Provides local audio transcription using whisper.cpp, supporting multiple models and audio formats. Enables transcription of audio files via MCP tools with optional timestamps.

Enables AI apps to transcribe local audio and video files on the user's own GPU, producing SRT/VTT subtitles and text without cloud uploads. It also helps find media files, list available devices, and list supported languages and models.

Enables Claude to speak responses out loud using ElevenLabs text-to-speech API, with tools to list voices and convert text to speech.

MCP Server for automated conversational phone calls using Asterisk with Speech-to-Speech capabilities, allowing users to make phone conversations as easily as writing a prompt.

Enables reading, searching, transcribing, and sending WhatsApp messages through uazapi, with audio returned as transcribed text and media saved as local files for AI agent use.

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.

Provides VOICEVOX text-to-speech as an MCP tool. Requires a running VOICEVOX engine on localhost.

A Model Context Protocol server that enables fast and free lipsync video creation for a wide range of digital avatars, supporting both audio and text inputs to generate synchronized lip movements.

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

Enables creating and managing ElevenLabs conversational AI agents with an interactive UI, voice selection, and configuration of agent behavior.