"How to use GitHub" matching MCP servers:

Enables text-to-speech and speech-to-text through MCP tools, using Groq's free hosted endpoints when configured and falling back to fully local keyless models otherwise. Also provides voice listing and provider health checks.

Enables AI assistants to transcribe audio files using dTelecom's real-time speech-to-text with pay-per-use USDC micropayments, no API keys required.

Provides on-device Chinese speech recognition with traditional Chinese (Taiwan) output via MCP server, HTTP API, and CLI, ensuring privacy by processing audio locally without uploading to cloud services.

SeaMeet MCP connects Claude, Cursor, Codex, and other AI agents to SeaMeet meeting recordings, transcripts, AI summaries, screenshots, action items, webhooks, and desktop recording controls. Use it to search meeting memory, read synced cloud recordings, and automate meeting notes through the Model Context Protocol.

Enables text-to-speech conversion using Google Translate's TTS, supporting many languages and accents, and saving MP3 files.

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.

This MCP server enables Claude to speak summaries, announcements, and explanations aloud using text-to-speech — right from your terminal.

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.

Use OpenAI text, image, speech, transcription, embeddings and moderation models from Claude, Cursor and any other MCP client.

Enables MCP clients to use Arabic-centric AI for chat, cited Islamic Q&A, Qur'an and hadith quotation checks, deep research, Arabic-English translation, speech-to-text and text-to-speech, image generation, poetry, and safety moderation.

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.

Gives an AI agent access to your macOS Telegram account via MTProto: it saves chats as Markdown archives, searches and summarizes them, transcribes voice messages, OCRs photos with Apple Vision, and sends messages only after your confirmation.

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.

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 to use speech AI capabilities including LLM chat completions, text-to-speech in Uzbek, Russian, and English, speech-to-text transcription with speaker labels, voice isolation for noise removal, and realtime WebSocket streaming.

MCP server for Chamade — a voice and chat gateway that lets your AI agent join meetings and DMs on Discord, Microsoft Teams, Google Meet, Telegram, SIP, Zoom, Nextcloud Talk, Slack, and WhatsApp.

Enables supported local AI clients to control a visible desktop presence through bounded presentation tools such as animations, window control, and short local speech over a loopback endpoint, without granting decision or execution authority.

Read-only MCP server for Telegram that enables reading messages and transcribing voice, audio, and video notes via the Telegram API for use with Codex and Claude Code.

Local Korean text-to-speech MCP server using a fine-tuned CosyVoice2 model, enabling voice synthesis directly from Claude or Codex with privacy and no API costs.

Enables agents to convert text to speech using OpenAI's TTS models with voice selection, delivery instructions, and queue-based audio playback. Supports both blocking and non-blocking modes for flexible audio generation and playback control.

Enables an agent to process local video files and then read, search and inspect the results: timestamped transcripts, on-screen text and key frames as images. Everything runs locally, so an agent can answer questions like how to perform a task shown in a screencast or meeting recording.

Local voice and AI platform for macOS offering speech recognition, speech synthesis, MLX-based inference, OpenAI-compatible APIs, and MCP tools for use as an assistant or integration gateway.

Enables LLM agents to process local videos into timestamped, citable text documents and then query them through tools for listing videos, retrieving transcripts, and fetching specific segments, all fully offline.

Lets an MCP client read your screen-and-voice recordings — timed transcripts and the frames that matter — so it can write up tasks with screenshots and file them on GitHub Issues, Linear, Jira, Trello, Asana or Azure DevOps. Everything is transcribed locally, so the agent does the AI work on your own subscription.

Enables running Claude Code continuously from Telegram, with two-way voice notes, persistent memory across restarts, a self-healing daemon, and live progress showing every tool call as it happens. Also supports scheduled reminders, calendar access, inline-button prompts, message history search, and a Mini App board for monitoring sessions and token use.

MCP server for controlling a Nabaztag rabbit's ears, LEDs, and voice pipeline, enabling AI tool-use via Claude Desktop/Code.

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.

This server enables MCP-compatible clients to generate images, videos, and speech, clone or design voices, and use configurable transports.

Enables AI agents to transcribe Instagram Reels into text by providing a tool that accepts a Reel URL and returns the speech transcript along with metadata such as author and duration.

Voiceover AI skills MCP server by yanghhu - miragea voiceover skills published on GitHub.

Enables a voice assistant to keep a shared, persistent memory of a household's kitchen, turning spoken remarks into pantry updates, scaled recipes, a cart, and confirmed grocery orders. Household members can ask what can be made and for how many, review what is low or out, and place or restock simulated orders only after explicit confirmation.

A zero-cost, China-accessible MCP server providing four free AI capabilities: text chat, image generation, speech-to-text, and text-to-speech, ready to use after cloning.

Enables hands-busy small online sellers to use voice-driven MCP tools for deterministic margin and listing checks and to draft ad headlines, 30-second shorts scripts, and detail page outlines.

Enables voice-driven caregiving check-ins through Alexa+, letting family members ask how a parent living alone is doing, trigger a check-in, or acknowledge they are handling an alert, while the parent can confirm "I'm OK" by voice. Status tools also render an MCP Apps card for at-a-glance display.

Enables real-time voice agents to dynamically tailor speech pitch, cadence, and pause inflections through low-latency prosody, SSML, and emotion pacing modulation.

Enables AI agents to remotely operate Windows handheld gaming PCs, providing computer use, hardware control, and voice prompt capabilities over MCP.

Enables AI agents to interact with a personal Telegram account via MCP, offering tools for reading and searching chats, summarizing unread messages, sending and editing messages, handling files and voice transcripts, and managing groups and channels, with read-only mode by default.

A drop-in upgrade to the official Claude Code Telegram plugin that lets you drive Claude Code 24/7 from Telegram with two-way voice notes, persistent memory across restarts, scheduled messages and reminders, calendar access, inline-button questions, and restarts handled by a self-healing daemon. It also streams live progress through Agentic Mode and a /agents board showing every session, subagent, token use, and tool call as it runs.

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.