"Finding people on LinkedIn using their names" matching MCP servers:

MCP server for local speech-to-text using Whisper Large V3 (MLX), enabling audio transcription with text/timestamps/SRT output and LLM-based correction, all running offline on Apple Silicon.

Enables reading and controlling a Universal Audio Apollo interface: channel names, faders, preamp gain, cue sends, monitor control, and more via the UA Mixer Engine's local TCP API.

Provides accurate meeting transcription with speaker diarization and multilingual support, allowing users to submit audio URLs, poll transcription status, get transcripts, and summarize via MCP tools in their IDE.

Enables transcription, summarization, and action item extraction from audio files on your Mac using MacWhisper and Claude Desktop, all locally without any cloud APIs.

Enables AI agents to analyze local or URL-hosted audio files with TrackTag, returning professional music metadata such as BPM, key, genres, moods, and 35+ fields. Runs locally on your machine, using your TrackTag API key and credit balance for analyses.

Enables MCP clients to create, read, write, inspect, and validate VCV Rack 2 .vcv patch files on disk.

Text-to-speech MCP server that enables AI assistants to read text aloud on the user's computer using Windows SAPI, with no API key or cloud service required.

Enables agents to search loudspeaker drivers, retrieve Thiele/Small parameters, design sealed or vented boxes, and simulate SPL, impedance, and excursion responses using the OpenISD physics engine.

Enables MCP clients to search songs, retrieve details and lyrics, and manage personal playlists on NetEase Cloud Music, with optional local player control on macOS, all through a privacy-first, self-hosted service.

Enables high-quality transcription and subtitle generation from local media files or URLs using Faster Whisper on local hardware. It supports automatic language detection and integration with MCP clients for seamless speech-to-text workflows.

Enables AI agents to analyze, summarize, and extract text from videos and images using the Qwen3-VL-8B-Instruct model deployed on Blaxel. It supports media analysis via URL, including video Q\&A and speech transcription capabilities.

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.

A server that generates MP3 audio files from text using Kokoro TTS technology with optional S3 upload capabilities.

An MCP server that enables AI assistants to search, analyze, and retrieve information about audio samples from Freesound.org through their API.

An MCP server that plays local sound files on macOS using the afplay command, allowing AI assistants to trigger audio notifications after responding.

Enables audio file analysis using Google's Gemini multimodal models with support for additional context and system instructions to guide the model's behavior.

Enables AI assistants to convert text to high-quality speech audio using MeloTTS. Automatically splits long texts into segments, generates WAV files, and merges them using ffmpeg with support for multiple languages and customizable speech parameters.

A voice-to-text transcription service that converts audio files to transcripts using SiliconFlow, supporting both multipart/form-data and base64 formats.

Enables AI coding agents to autonomously generate images, music, and cinematic video directly from their coding environment by connecting to Google Labs and Google Flow through the user's Chrome session.

Enables AI clients to create, edit, validate, preview, and render Shotcut projects (saved as MLT XML) without operating the GUI, using structured timeline editing tools and local safety mechanisms.