"General or unclear search query" matching MCP servers:

Enables an assistant to transcribe video or podcast recordings, then read, search, summarize, and manage the resulting transcripts through MCP tools.

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 AI assistants to transcribe links (YouTube, Google Drive, Dropbox), list and search your recordings for spoken words and moments, and read transcripts in json/txt/srt/vtt, summaries and metadata. It also lets them request new summaries and delete recordings, all through your own account with API-key or OAuth sign-in.

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.

MCP server that turns any audio or video source into structured, searchable intelligence for agents, enabling download, transcription, semantic search, speaker identification, and more.

A local stdio MCP server that enables validated access to official ElevenLabs APIs with cost controls, local media storage, and audio export for Godot.

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.

Enables agents to generate 3D talking avatars from text descriptions or photos, and to render lip-synced talking videos from text using a photo, GLB avatar, or freshly assembled avatar. It also exposes tag vocabularies, asset search, and voice listings for building those avatars.

Enables Cursor, Claude, and other MCP agents to interact with the HyperWhisper app for voice transcription, model management, and recording search.

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 assistants to search meetings, transcripts and dictations, gather decisions and action items by person and deadline, locate who said what and when, and transcribe audio or video from links or files. Sign-in is via OAuth account access, with reading free and transcription charged per minute.

Enables supported local AI clients to control a visible desktop presence through bounded presentation tools such as animations, window control, and short local speech over a loopback endpoint, without granting decision or execution authority.

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.

Enables assistants to open scripts in a centered, multilingual reader with direct paste, locale-aware word tracking, manual sentence navigation, pause/auto-scroll, and optional browser or OpenAI speech recognition.

Enables driving a Claude Code session directly from WhatsApp over a linked device or the official Cloud API, with bidirectional messaging, media attachments, local voice transcription, per-group personalities, and context recovery after restarts. Adds pairing-code access control, allowlists and group policies, plus remote approval or denial of tool permission prompts via emoji reactions — no API keys, no Docker.

Exposes the program's push-to-talk transcript history to MCP clients such as Claude Desktop and Claude Code, letting them fetch recent or latest transcripts, query results by time window, range, or ISO timestamp, search text, look up records by id, and read counts, runtime status, or clear history. Each result carries millisecond-precision hold start/end timestamps alongside the transcribed text.

Enables an agent to process local video files and then read, search and inspect the results: timestamped transcripts, on-screen text and key frames as images. Everything runs locally, so an agent can answer questions like how to perform a task shown in a screencast or meeting recording.

Enables an AI assistant to inspect, convert (SRT/VTT/ASS/JSON), shift, retime, clean, lint and reflow caption files, and to build reel-style or standard captions from Whisper-style word timestamps. It also clips captions to a time range, searches spoken text, and extracts clean transcripts, all without ffmpeg, API keys or network access.

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.

TikTok MCP by SocialDataX for video and image post search, post details, comments and replies, creator profiles and posts, and video speech-to-text.

YouTube MCP by SocialDataX for video search and details, comments and replies, channel profiles and uploads or Shorts, and speech-to-text transcripts.

Enables Claude to interact with WhatsApp: read chats, search messages, send messages with a mandatory confirmation step, and transcribe voice notes locally, all with encrypted storage and prompt-injection scrubbing.

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.

Transcribes YouTube videos or audio files to Markdown, plain-text, and Word documents.

Kuaishou MCP by SocialDataX for hot search, work and user search, work details, comments and replies, creator profiles, and video speech-to-text transcripts.

Enables AI agents to submit and manage durable long-form audio transcription jobs, and read or export structured transcripts via MCP tools.

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 review-first editing of Chinese teaching videos through local ASR, auditable edit proposals, synchronized captions, and FCPXML handoff for Final Cut Pro. Human review and authorization remain required before cuts or exports are applied.

Enables AI agents to synthesize and play short summaries aloud while keeping full answers on screen, with queued speech and stop control using online natural voices or offline synthesis.

Enables users to manage Gmail accounts using AI agent-assisted operations via an MCP protocol, supporting email search, reading, deletion, and sending with a voice-powered interface.

Enables read-first interaction with Apple Voice Memos: search transcripts, review action candidates, mark reviewed, prepare tasks for Codex, and render digests.

Enables submitting public audio and video URLs for background transcription, tracking and managing transcription jobs, and retrieving finished transcripts as clean text or SRT.

Provides read-only access to what you have dictated and what was said in your recorded meetings, so coding agents like Codex, Claude Code, Pi or LM Studio can search your local transcripts and notes.

Enables AI agents to locally transcribe audio, search transcripts, proofread uncertain words, and apply corrections through MCP.

Adds text-to-speech capabilities to Cursor IDE, allowing your AI assistant to speak responses, summaries, and explanations out loud using OpenAI or ElevenLabs.

Enables users to log expenses and income by voice, auto-categorize transactions, set and check budgets, summarize spending, undo or search entries, and generate AI spending insights with an offline fallback.

A self-hosted MCP server over Streamable HTTP that lets a voice assistant query production records, capture persistent shift handovers, and run container-load calculations against synthetic factory data. It enables plant managers and line operators to inspect and update shift state through natural language without any cloud dependency.

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 agents to discover devices, query their capabilities, invoke system calls, and stage resources or deliver apps to connected WishOS hardware through a self-hosted connector and relay. It routes device-initiated tasks into an existing harness session (Codex, Claude Code, and others), keeping inference, tools, and history with that agent while handling voice, interface, and app transfer to the device.

Enables Alexa+ and other MCP clients to query live restaurant books with cited answers, surface shop findings and pending approvals, record owner approvals or rejections through guarded commands, and check customer storefront availability, menus, and pickup slots.