"Finding LinkedIn users by educational background" matching MCP servers:

Enables LLMs to provide voice status updates via OpenAI TTS, ideal for background task progress reports.

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.

Automated short-form video creation from text prompts, combining text-to-speech, captions, background videos, and music, exposed as an MCP server for AI agents.

Connects Gmail and Telegram via an MCP server, enabling users to interact with their emails through a Telegram bot with commands for summaries and audio.

Converts text summaries to speech using OpenAI's TTS API and plays them in the background across all major platforms.

An MCP server that provides sentiment analysis functionality using TextBlob, allowing users to analyze text for polarity, subjectivity, and sentiment assessment through Cursor AI.

Records narrated walkthroughs of any webapp by orchestrating Playwright, speech-mcp TTS, and FFmpeg composition.

Enables an AI assistant to have its recent code actions summarized aloud through system speakers, using offline native voices or cloud neural voices. It supports asynchronous playback and voice listing so users can hear what the agent did without reading the full response.

Enables MCP-compatible LLMs to control Amazon Alexa devices by sending announcements, text commands, and SSML speech, as well as managing smart-home groups, routines, lists, volume, Do Not Disturb, and sensor queries.

Provides voice notifications using Grok's text-to-speech API to alert users when Claude Code completes tasks, with support for both local and remote server configurations.

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.

Provides access to Open Ai21 API services including chatbots (GPT-3.5, Claude 3, Llama 3), text-to-image generation, image background removal, text-to-speech, question answering, and text summarization capabilities.

A Model Context Protocol server that integrates with VOICEVOX engine to provide text-to-speech synthesis and speaker information retrieval, allowing users to generate and play voice audio from text.

Enables AI coding agents and MCP clients to generate Giggy text-to-speech audio by listing voices, requesting speech generations, and polling generation status until a downloadable result URL is ready.

Provides voice summaries after each AI request in Cursor, Cline, or any MCP-supported editor, allowing users to hear what was done and stay informed without staring at the screen.

Enables MCP clients to speak by running local voice models using Chatterbox Turbo TTS or Kokoro TTS, with support for voice cloning, paralinguistic tags, and multiple voices.

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.

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.

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.

Enables users to turn screen recordings into narrated tutorials by providing visual evidence to ChatGPT, then rendering the final video, audio, script, and thumbnail using FFmpeg and ElevenLabs.