"Finding people named Altman on LinkedIn" matching MCP servers:

Official MCP server for Theta EdgeCloud's On-Demand Model APIs, providing access to 20+ AI models including image generation, audio transcription, and LLMs, directly from MCP-compatible clients.

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 Alexa+ to run spoken mock technical interviews by parsing a candidate's resume and target job description, generating tailored questions, and scoring each answer against Bar Raiser rubrics via Amazon Bedrock. It also produces a session report with score breakdowns, weak topics, and a concrete practice plan.

Make phone calls and join Zoom, Microsoft Teams and Google Meet meetings from any AI agent. A self-hosted, open-source voice agent that calls businesses and people through your own SignalWire or Twilio number, joins meetings as a bot that answers when spoken to, says it is an AI, and returns the outcome, decisions, action items and transcript.

Enables any MCP client to start, poll, and stop microphone recordings from within a conversation, returning the accumulating transcript on demand. All transcription runs locally on-device, so no audio leaves the machine.

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.

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.

Provides VOICEVOX text-to-speech as an MCP tool. Requires a running VOICEVOX engine on localhost.

Enables AI assistants to interact with the AIGigLab API for lead generation, LinkedIn automation, voice cloning/TTS, and visual asset generation.

Your AI agent phones businesses for you: books, reschedules, cancels, asks, and waits on hold.

Provides multimodal understanding tools including OCR, image description, audio transcription, UI screenshot analysis, and screenshot comparison via async tools on a multimodal endpoint.

MCP server for Chamade — a voice and chat gateway that lets your AI agent join meetings and DMs on Discord, Microsoft Teams, Google Meet, Telegram, SIP, Zoom, Nextcloud Talk, Slack, and WhatsApp.

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.

Enables ChatGPT on the web to generate and play spoken audio through an embedded player, exposing a speak tool that renders text with selectable styles and scenes via configurable text-to-speech providers. It routes each request across ElevenLabs, Cartesia, Azure Speech, and DashScope in a configured failover order, picking providers by language and scenario.

Fetches YouTube transcripts and metadata (title, channel, duration) for URLs, using subtitles or on-device Whisper STT when no subtitles are available, enabling chat-based YouTube video analysis.

Enables an Alexa+ host to place and manage customer-care calls by building a case, navigating phone menus, waiting on hold, explaining the issue, guarding sensitive disclosures, handing off identity checks, recording ticket numbers and promises, and scheduling follow-ups.

Enables an Alexa+ agent to place business calls on the owner’s behalf, disclose that it is an AI, enforce spending limits with owner approval, and book only when a clean yes confirms the read-back terms.

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.

Lets an MCP client read your screen-and-voice recordings — timed transcripts and the frames that matter — so it can write up tasks with screenshots and file them on GitHub Issues, Linear, Jira, Trello, Asana or Azure DevOps. Everything is transcribed locally, so the agent does the AI work on your own subscription.