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    Fast MCP Telegram — Production-grade Telegram MCP server with direct MTProto API, multi-user ACL, dual transport (stdio + HTTP SSE), voice transcription, and context-optimized design. One-command setup with uvx fast-mcp-telegram
    8
    203 PyPI
    50
    MIT
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    B
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    Enables retrieval and analysis of content from YouTube, TikTok, Instagram, and Threads, including metadata, captions, comments, feeds, search results, transcripts, and on-screen text from videos or slides. Supports local stdio and remote HTTP/SSE deployment with optional API keys, Whisper transcription, and Tesseract OCR.
    MIT
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    Audio perception for AI agents. Measure loudness, clipping, noise and pitch; view spectrograms; split audio into events; transcribe speech; compare before/after; and clean up, edit or synthesize sound. Runs locally, no API keys.
    14
    130 PyPI
    MIT
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    Enables AI agents to query a local, continuously recorded Mac audio timeline, including speaker-labeled transcripts, topic-organized events, projects, todos, daily summaries, insights, and long-term memories.
    11
    MIT
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    A Model Context Protocol server that provides text-to-speech functionality for AI agents using Microsoft Edge's text-to-speech technology, supporting multiple voices, languages, and voice customization.
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    MIT
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    Enables AI agents to provision phone numbers, send SMS, place AI voice calls, and react to inbound events via the Dial communication stack, all through MCP tools.
    539 npm
    MIT
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    Enables Claude to run a structured learning program by selecting topics, delivering lectures to a local site, reading and grading answers, tracking progress, and closing completed topics. It also serves a localhost website for viewing the curriculum and progress.
    MIT
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    Enables Claude to interact with WhatsApp: read chats, search messages, send messages with a mandatory confirmation step, and transcribe voice notes locally, all with encrypted storage and prompt-injection scrubbing.
    6
    MIT
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    Enables Alexa+ to coordinate a household through 14 MCP tools: it tracks family members, auto-assigns and completes chores by workload, adds calendar events while reporting clashes, rotates pickup duty, manages a grocery list, and returns a spoken morning briefing with reasoning for every decision.
    MIT
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    Enables Claude to read WhatsApp Desktop chats on a Mac, including messages, images, documents, and locally transcribed audio, through a local MCP server. Everything runs on the Mac with read-only access and no messages sent.
    1
    MIT
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    Enables read-first interaction with Apple Voice Memos: search transcripts, review action candidates, mark reviewed, prepare tasks for Codex, and render digests.
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    Apache 2.0
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    Enables MCP-compatible clients such as Claude Desktop and Cursor to generate images and videos, synthesize speech, clone voices, and design custom voices from descriptive prompts. It supports stdio, REST, and SSE transport modes with configurable API hosts, keys, and local or URL-based resource output.
    549 npm
    MIT
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    Search, read, and create speech-to-text transcripts on-device with the Whisper Notes Mac app. The MCP server is built into the app (macOS, Apple Silicon) and serves over a local Unix socket — 100% offline, no open ports.
    MIT
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    Enables AI coding assistants to verbally announce task progress and events through local text-to-speech, with cloud synthesis via Volcano Engine or Edge TTS, scene-based voice settings, and a Windows SAPI fallback so announcements continue even when the cloud fails.
    MIT
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    Enables AI agents to make real-world phone calls with AI voice technology and provides tools to track call status, transcripts, and summaries. It supports automated communication with both live numbers and simulated businesses for testing and demonstration purposes.
    MIT