"Home Assistant Community Store" matching MCP servers:

A cloud backend for a voice assistant that processes natural language commands, manages tasks, and provides speech responses. Integrates with MCP protocol and Gemini API for Vietnamese language support.

Give your AI assistant eyes and ears — analyze any video, audio, or image, entirely on your machine.

Manage voice AI agents from Claude Code, Cursor, VS Code, or any MCP-compatible assistant.

Enables an assistant to transcribe video or podcast recordings, then read, search, summarize, and manage the resulting transcripts through MCP tools.

Control your voice AI platform through natural language from any MCP-compatible assistant.

Enables MCP-compatible LLMs to control Amazon Alexa devices, including announcements, voice commands, smart-home group management, routines, media playback, and sensor state queries.

Provides live meeting context to an AI assistant during Google Meet or Zoom calls, enabling real-time transcript reading, decision tracking, and actionable advice in a side panel.

Enables AI assistants to generate expressive speech using Hume AI's Octave Text-to-Speech, allowing for natural language-based audio synthesis and voice management.

Enables MCP-compatible AI clients to store and recall voice conversation context by caching user and AI utterances, supporting formatted context summaries for multi-turn voice interactions.

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.

Gives an AI assistant its own real phone number and email address so it can place and answer calls, book reservations by phone, send and receive texts, and read written summaries, structured details, and transcripts of every conversation. Also manages contacts, persona and voice settings, webhooks, and a unified call/message history through a hosted OAuth-secured MCP endpoint requiring no local code.

Enables LLMs to make voice calls and send SMS messages through the Vonage API, allowing AI assistants to perform real-world telephony operations with support for speech recognition and multi-language conversations.

Adds text-to-speech capabilities to Cursor IDE, allowing your AI assistant to speak responses, summaries, and explanations out loud using OpenAI or ElevenLabs.

An MCP server for AI voice synthesis with an inline audio player, allowing users to give their AI assistant a custom cloned voice using DashScope or ElevenLabs.

Enables an assistant to turn any video ffmpeg can read into a text transcript by extracting the audio, splitting it on silence, and transcribing each piece on-device through utt. Exposes tools to start a transcription job with optional hints and timestamps, and to poll for a transcript that is still being worked on.

Enables AI agents and applications to send audio notifications with text-to-speech, message streaming, agent-to-agent conversations, and web push notifications through a persistent message store and MCP integration.

MCP server to control Yandex Station speakers with Alice: manage music, radio, volume, playback, TTS, timers, alarms, reminders, and smart home scenarios via text commands or predefined tools.

Enables AI assistants to conduct phone interviews, deliver notifications, and manage HR communications through natural voice conversations using Twilio, Deepgram, and OpenAI.

Enables macOS control, web scraping, news fetching, and workspace automation through an MCP server.

Votars is the world's smartest multilingual meeting assistant, designed for voice recording, transcription, and advanced AI processing. It features real-time translation, intelligent error correction, AI summarization, smart content generation, and AI discussions. The Votars app is available on Web,