"Categorizing messages such as emails or system logs" matching MCP servers:

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.

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.

This server enables AI models to send SMS messages and initiate Text-to-Speech calls programmatically using ClickSend's API with built-in rate limiting and input validation.

Integrates Textwell with the Model Context Protocol for facilitating text operations such as writing and appending text through a GitHub Pages bridge.

Enables MCP clients such as Claude, Cursor and VS Code to synthesize speech locally in 31 languages, saving mp3, wav or ogg files, listing and installing catalog voices, and playing audio back through the system player — offline after the first run with no usage limits.

Enables MCP clients such as Claude Desktop, Cursor, and Cline to synthesize speech and singing with natural-language pitch and emotion tags, search and switch character voices and engine models, and transcribe audio through the Fish Audio API.

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.

Enables MCP-compatible agents to control a desktop mascot by switching its appearance and voice, showing speech-bubble dialogue, and managing state such as affinity.

Enables users to generate speech, music, cloned voices, lyrics, and separated vocal/instrumental stems through 50+ audio model APIs from providers such as MiniMax, Suno, Mureka, Doubao, and Qwen TTS.

Enables agents to synthesize text with local IndexTTS zero-shot voice cloning and send the result as QQ voice messages through OneBot, with a health-check tool for service, model, and gateway status.

Transcribe voice messages to text and generate spoken audio from text, served as cached Ogg/Opus files for instant playback.

Enables an AI to place zero-cost SIP voice calls to a user's iPhone and hold multi-turn spoken conversations, with speech-to-text, text-to-speech, and barge-in interruption, exposed as MCP tools such as call_start, converse, and call_end.

Provides local text-to-speech output to PC speakers, Telegram voice messages, or MP3 files, and transcribes voice messages locally or via cloud. Includes tools for checking playback status, stopping audio, and replying to Telegram messages.

Provides sound alerts, voice messages, and macOS notifications for Claude Code and other MCP-compatible AI assistants.

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 decoding of acoustic signals such as fundamental frequency, speaking rate, jitter, and pause ratio together with semantic sentiment to infer high-dimensional emotional states and emit real-time expressive TTS prosody directives. It runs as a zero-dependency JSON-RPC 2.0 MCP server over stdio, exposing these capabilities as callable tools.

Enables AI models to generate high-quality voice messages from text using the Piper TTS engine, with automatic model management and audio streaming.

Exposes a text-to-speech announcement tool for the CastleCall home PA system on Raspberry Pi. It enables users to broadcast voice messages using local Piper or cloud-based ElevenLabs providers through the Model Context Protocol.

An MCP server that integrates with Daisys AI platform to enable audio processing tasks, such as recording, transcription, or generation, through natural language commands.

Enables coding agents to turn explanations of code, pull requests, or concepts into narrated slide walkthroughs voiced locally with Kokoro, returning a link that starts playing in about a second while the remaining slides are still being written. Slides are grounded in real files and git history, checked for errors, and exportable as static folders with captions.

Enables progress-triggered text-to-speech in Cursor Agent, with speak and stop controls and voice matching the system UI language.

Enables AI models to speak and sing using retro-style formant speech synthesis, converting text or phoneme strings to WAV audio via MCP tools.

Enables local text-to-speech synthesis for Claude and Cursor using Supertonic 3, with support for multiple voices, expressions, and languages. No API key or cloud required.

MCP server for the Supertone TTS API. Generate natural speech, browse and preview the voice catalog, predict synthesis cost, and create cloned voices — directly from Claude Desktop, Cursor, or any MCP-compatible client. Supports Korean, English, Japanese, and 20+ other languages, with speed, pitch, and emotion-style control.

Converts text or transcripts into MP3 audio using Microsoft Edge's free neural voices. Provides text-to-speech and voice listing tools with no API key required.

Enables MCP clients such as Claude Code, Cursor, and VS Code to generate speech through three MiMo TTS models: nine built-in voices (with singing and style/audio tags), voices designed purely from a text description, and voices cloned from a local mp3/wav sample. Audio is streamed and written only inside a sandboxed output directory, with non-overwriting filenames.

Bitcoin-powered AI tools via Lightning Network micropayments (L402). Image generation, text generation, video, music, speech, 3D models, file conversion, and SMS — no signup or API keys required.

Enables AI agents to perform local audio tasks such as speech synthesis, voice cloning, music and sound effect generation, and audio editing through MCP, with GPU models loaded on demand and released after idle.

Enables AI agents to synthesize natural speech using either platform system voices or premium OpenAI TTS, with automatic engine selection and graceful fallback.

Lets Claude and other MCP clients manage an Anki collection through AnkiConnect: create decks, add notes, import TSV/CSV files, search, edit, move, rename and delete cards, generate text-to-speech pronunciation audio into note fields, and sync with AnkiWeb. Changes are guarded by preview-and-confirm tokens, automatic backups, dry runs, and read-only or delete-disabled modes.