"Assistance with macOS Spaces feature" matching MCP servers:

Enables chat-driven audio analysis and enhancement using local Claude, including denoising, EQ, compression, and loudness normalization, with an A/B viewer for synchronized comparison.

Enables hands-free voice collaboration with a coding agent: you speak requirements aloud and hear only short, plain-language progress and completion summaries while the agent edits code, runs tests, and fixes bugs in the background. It also handles continuous speech recognition with automatic turn detection, barge-in interruption, and spoken approval prompts before risky operations.

Enables AI agents to speak using MacOS native text-to-speech, with support for blocking and non-blocking speech and a sequential queue.

Enables AI agents to interact with the ParrotScribe transcription service on macOS, providing tools to start/stop transcription, retrieve real-time and historical transcripts, and search across sessions.

Enables agents to submit audio files to the local Meeting Transcriber macOS app, retrieve diarized transcripts, assign speaker names, and start or stop automatic meeting detection over its localhost automation API. Everything runs on-device, so no audio or transcripts leave the Mac.

Provides programmatic access to Apple Voice Memos on macOS, enabling AI assistants to list, retrieve details, get audio, and transcribe recordings.

Enables searching and managing local clipboard and transcription history on macOS, and provides contact resolution, profile lookup, and log-append tools for a voice-driven Android launcher while keeping data on the Mac.

Lets MCP clients such as Claude list, read, search and compare transcripts of Apple Voice Memos on macOS, keeping word-level confidence marks so uncertain words stay visibly flagged. Adds speaker separation, optional local voiceprint recognition, and independent second-reader comparisons that highlight where two engines disagreed.

Enables AI agents on macOS to securely read and search the local Messages database, catch up on missed messages via a persistent inbox, and send texts or files to allowlisted chats, with optional voice note transcription and text-to-speech.

Enables Claude to capture both sides of macOS calls and meetings from apps like WhatsApp, Teams, Zoom, and browsers as aligned microphone and system-audio tracks, then transcribe them locally with Whisper. Supports speaker separation, custom vocabulary, and importing existing audio or video files, with everything processed on-device so no audio leaves the Mac.

Connects to the TypeWhisper macOS app to let coding agents transcribe local files, inspect model status, search history, and manage dictionary terms and corrections.

A text-to-speech MCP server that enables AI assistants to speak using the VOICEVOX engine with support for multi-character conversations. It features queue management, low-latency streaming via FFplay, and cross-platform playback across Windows, macOS, and Linux.

MCP server for text-to-speech using macOS say command, enabling speech synthesis, audio file generation, and voice management.

Gives an AI agent access to your macOS Telegram account via MTProto: it saves chats as Markdown archives, searches and summarizes them, transcribes voice messages, OCRs photos with Apple Vision, and sends messages only after your confirmation.

A Model Context Protocol server for macOS that enables AI assistants to play system sounds for audio feedback, offering informational, warning, and error sound options.

Connects Claude Desktop to Hugging Face Spaces with minimal setup, enabling capabilities like image generation, vision tasks, text-to-speech, and chat with AI models.

Lets AI agents search, read and export call recordings, transcripts and AI meeting notes from Digisensus Recorder, a free open-source call recorder for macOS, and start or stop recording. Runs locally on the Mac and talks to the app over a Unix socket.

Provides read-only access to local voice-to-text transcription history from the SayAll wireless mic app on macOS. Enables MCP-compatible assistants to query and paginate past transcripts by time and app with strong privacy boundaries.

Gives any MCP client access to your WhatsApp, locally on macOS: full-text search across years of chats, photos, PDFs and Word documents, and voice notes transcribed on-device with Whisper. It can also draft messages, or send them through the official app with built-in safeguards.

Bridges a phone camera to Claude Code over the local network, enabling photo capture, live video assistance, voice interaction, and bidirectional content display without installing a phone app.

AI-powered voice transcription app for macOS using WhisperKit

Enables MCP clients to place, monitor, and hang up phone calls through authenticated tools, retrieve transcripts, and exchange correlated task results with a waiting host. It supports simulated or live calling with persisted call lifecycle records, duration limits, and idempotent requests.

Enables MCP clients to speak text aloud on macOS using the built-in say command, with no external speech API or keys, and to list available voices and control rate or voice selection. Requests from multiple client threads share a single FIFO playback worker, so speech plays one item at a time and can be inspected, stopped, or muted in hold or discard mode.

Local voice and AI platform for macOS offering speech recognition, speech synthesis, MLX-based inference, OpenAI-compatible APIs, and MCP tools for use as an assistant or integration gateway.

Enhanced MCP server for sending native macOS notifications with terminal-notifier, interactive dialogs, text-to-speech, screenshots, and file selection.

Enables hands-free voice conversations with Claude using real-time speech recognition and text-to-speech on macOS. Creates a self-sustaining conversation loop where Claude can autonomously listen, respond, and continue the interaction without keyboard input.

Enables macOS control, web scraping, news fetching, and workspace automation through an MCP server.

Enables proactive voice assistance for flight disruptions, including alerts, rebooking, refund eligibility and requests, bag status, accessibility assistance, and stranded-traveler support through MCP tools, subscriptions, and approval-based elicitation.

Links your own WhatsApp account as a linked device on a computer you control and exposes it to Claude and ChatGPT over MCP, so assistants can search and read chat history, analyze attachments such as voice notes and PDFs, and send or manage messages only when explicitly asked. It runs self-hosted on macOS, Linux or Windows with an optional encrypted Cloudflare relay and a standby bridge for automatic, no-duplicate failover.

Enables small dairy and crop farmers in India to talk to a voice-friendly farm ledger, with every number verified rather than guessed. It is a self-hosted MCP server over Streamable HTTP, planned to run on AWS Lambda with DynamoDB and Amazon Bedrock.

Enables a local, cost-controlled voice assistant for macOS that routes requests between local and Claude models, provides draft-only email and calendar access via Thunderbird and Granola with a restricted allowlist, and supports meeting follow-ups.

Enables Poke to trigger outbound AI phone calls through Vapi telephony, using a stateless server with installer-owned credentials.

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.

Enables macOS users to hear short spoken summaries of agent replies using the built-in say command, while keeping full details in the chat. Works with any MCP-compatible host and requires no cloud or API key.

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

Enables generating spoken audio from text and retrieving available voice characters and styles through MCP tools on macOS.

A native macOS MCP server for voice input and output, allowing Claude to listen and speak with offline speech recognition and TTS.

Gives your AI a live, speaker-labeled transcript of the meeting or call happening right now, plus the ability to push advice into the meeting window and speak out loud on the Mac. Requires the VoxAI macOS app — the server reads and writes that app's local files, so tools only return real data on macOS.

Enables AI clients to transcribe YouTube links and uploaded audio or video files, then retrieve the resulting transcripts as text, SRT, VTT, or JSON with timestamps and optional speaker labels. Also supports paging through long transcripts, checking upload progress, listing or deleting jobs, and viewing remaining account minutes.

Enables continuous voice conversation with AI coding assistants by locally transcribing speech with Whisper and delivering utterances as text prompts.