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    Provides text-to-speech and Telegram notification capabilities via the Model Context Protocol. Supports multiple TTS providers and Telegram messaging with optional setup web interface.
    2
    139 npm
    3
    MIT
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    Enables text-to-speech functionality on macOS using the say command, offering extensive control over speech parameters like voice, rate, volume, and pitch for a customizable auditory experience.
    2
    13 npm
    20
    MIT
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    Enables an AI assistant to author sentence-synced, motion-graphics lessons: it writes and validates lesson JSON, runs example code to verify output, renders 3D illustrations with Blender hotspots, synthesizes multi-voice narration with timing data, and builds a single-file HTML textbook. Supports any subject, from math and science to English and programming.
    13
    MIT
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    Enables agents to speak text and read documents aloud on the user's computer, with tools for speaking, reading, stopping playback, and saving audio.
    GPL 3.0
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    Enables AI agents to ring or text a user's actual iPhone, read a question or update aloud, and return the spoken answer back to the agent as text. Calls and messages land in a single titled thread per agent, with tools for polling results, waiting for replies, and labeling conversations.
    32
    MIT
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    Exposes a single transcribe tool over streamable HTTP so containerised agents can send a media file name and receive text transcribed locally by MacWhisper on the host Mac's GPU, with token-gated access and no uploads or API keys. Callers place media in a configured directory, and the blocking call returns the finished transcript.
    MIT
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    Enables AI agents to give spoken output by synthesizing text into speech with an on-device neural model and playing it through the user's speakers, entirely offline. Agents can queue spoken summaries and stop playback on demand.
    4 npm
    MIT
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    Exposes a local, hands-free voice room to any MCP client, letting agents read speaker-labelled conversation turns, wait for the next turn, list who is present, and speak aloud through local text-to-speech. Speech recognition, speaker identification and voice output all run on the user's own machine, so agents receive text with speaker names rather than audio.
    Apache 2.0
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    Enables coding agents to hold spoken conversations by exposing speech-to-text and text-to-speech tools over MCP, routing them to a local daemon that drives a Chrome window using on-device speech recognition and Piper synthesis. It supports listening, speaking, and reading files aloud within a Claude Code plugin or an MCP gateway.
    21 npm
    MIT
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    Turns a plain-language request into a narrated vertical motion graphics video with natural voice, word-by-word synced animation, music and sound effects, rendered locally as an MP4 ready for Reels, TikTok and Shorts. Validates scripts and estimates OpenAI API cost before spending credits, and works inside MCP-capable assistants like Claude Code, Claude Desktop or Cursor.
    MIT
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    Enables coastal fishermen to get short, spoken sea-safety briefings from live wave and wind forecasts, including a plain Safe / Caution / Don't go verdict for the next 12 hours, and to save their usual zone so later requests can just ask for "my briefing".
    MIT
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    A stdio MCP server that lets AI coding tools on a Mac speak text aloud through the local Speaklna text-to-speech app. It exposes four tools (speak, stop, status, voices) so agents can voice replies, halt playback, check state, and list available voices, but cannot import voices or change settings.
    73 npm
    MIT
  • A
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    Not graded
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    maintenance
    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.
    101 npm
    1
    MIT
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    quality
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    Voice interface for Claude Code enabling hands-free, conversational interaction entirely on-device for Apple Silicon Macs. It provides push-to-talk transcription and automatic spoken responses via local AI models.
    MIT