"Searching for information about screen capture or screenshot methods" matching MCP servers:

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

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.

MCP server for audio transcription using OpenRouter models, supporting verbatim, cleaned, and custom transcription modes.

Enables AI clients to watch and hear videos from local files or YouTube, Vimeo, and Loom links by returning timestamped key frames, a transcript, a contact sheet, and a combined timeline, with all processing done locally.

Feedback ingestion for AI agents. Record your screen and talk; your agent does the rest — files the bugs, writes the spec, builds the backlog.

Lets AI assistants understand what you're working on — current screen content, recent dictation, clipboard, and saved notes — running entirely on your own machine with nothing sent to the cloud.

Pay-per-call x402 APIs for AI agents: DeFi token safety (honeypot/tax simulation, A-F grade), EVM chain data, web access (markdown/screenshot/PDF), speech-to-text. USDC on Base, no account, no API key

MCP server for SpeechWeave transcription, enabling AI assistants to transcribe local files and URLs via wait-first or async tools.

Transcribe audio/video URLs and detect silence for cutting, with pay-per-call billing in USDC via x402, no account or API key required.

Enables Claude Code to place real outbound phone calls to a user when a session is blocked, capture their spoken decision, and resume the session.

Voice input for Claude Code — speak Vietnamese or English; hold a hotkey, speak, release, and the transcribed text is cleaned and pasted into the input box for editing before sending.

Enables Claude Code, Codex, Claude Desktop and Cursor to see and hear MP4/MOV/MKV/WebM videos and screen recordings through timestamped keyframe storyboards, zoom and full-resolution frame drill-down, and a locally generated Whisper transcript. It also works with recording bundles that capture clicks and typed context, and runs entirely on the user's machine with no uploads or API keys.

MCP server for Whipscribe — transcribe audio and video from a URL or local file via Claude Desktop, Claude Code, Cursor, Windsurf, or any MCP-compatible client.

Enables MCP-capable assistants to transcribe local audio files or URLs and perform speaker diarization for Spanish and Portuguese audio, with options for speaker count hints, domain prompts, and transcript retrieval in multiple formats.

Bridges MCP-capable AI tools such as Claude Code, Cursor, and Codex CLI to the Prodius desktop app, letting an agent pop a question on screen and capture your spoken or typed reply without switching back to the terminal. It also sends fire-and-forget desktop notifications and can answer permission prompts by voice.

Enables AI assistants to generate animated overlays and edit short videos — cutting clips together, removing pauses, adding captions, and exporting overlays as MP4, MOV or WebM with transparent or green-screen backgrounds. All rendering, transcription and media handling happen locally on the user's own computer.

An MCP server that turns AI agents into product presenters, enabling them to record keynote-quality demo videos by controlling screen recording, mouse, Chrome, and narration.

An MCP server for audio-to-text transcription using Google's Gemini API via OpenRouter, offering multiple tools for raw, cleaned, or formatted transcripts with support for local and remote deployment.

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.

Converts screen-recorded walkthrough videos into timestamped transcripts, extracted frames, scene-change anchors, and interleaved slices that pair each frame with the speech following it, so a coding assistant can read video feedback. All processing runs locally via ffmpeg and Whisper, with results cached to disk and exportable as transcript, frame images, and a README skeleton.

MCP server integrating VolcEngine for automatic speech recognition (ASR) and text-to-speech (TTS), converting audio to text or text to audio files.

An MCP server that lets AI assistants send spoken audio notifications using high-quality AI voices, so you don't have to stare at the screen waiting for long tasks to finish.

Lets an AI agent message and call the user's Android phone over VoIP (no phone number): send a message, wait for the reply, or ring the phone so a voice AI talks to the user and returns the transcript.

Enables Claude Code to transcribe audio and video files using the Speechmatics Batch API, with support for speaker diarization, batch processing, and searching transcripts.

Enables MCP clients to leverage the Intel Arrow Lake NPU for local speech transcription, screenshot OCR, private semantic search, and hardware diagnostics, all processed locally.

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.

Analyze an hour-long YouTube video sentence by sentence in three minutes, and extract the information you need from the screen. Open-source local MCP server for AI clients.

Enables AI assistants to transcribe audio files from URLs or local paths using AssemblyAI's services, with support for speaker diarization, language detection, and asynchronous job management through a standardized MCP interface.

Enables reading, searching, transcribing, and sending WhatsApp messages through uazapi, with audio returned as transcribed text and media saved as local files for AI agent use.

Gives AI agents video perception by turning screen recordings, films and URLs into timestamped structured evidence: ordered UI states and transitions, per-screen OCR, shots, camera motion, palettes, on-screen text and speech, all cached locally with no API keys. Includes drill-down tools to zoom into intervals, crop full-resolution frames, diff two moments, and search on-screen text and speech across everything watched.

Lets Claude see an Android phone's screen through ADB screenshots and control it by typing over ADB and by speaking button commands aloud through the PC speakers for Google Voice Access to tap, plus gestures, app launching, and optional voice input.

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

Enables MCP clients to place real phone calls to businesses in the US and Canada, navigating phone menus, waiting on hold, asking the agent mid-call for information, and returning structured answers with transcripts. Supports booking, quotes, cancellations, and multi-business calls in parallel.

Enables voice conversations and screen capture for AI agents via MCP-compatible clients, using Pipecat for speech-to-text and text-to-speech, with support for browser, WebRTC, and phone transport.

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.

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 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.

Screen-aware voice command layer for AI agents that captures screen context and instructions to build agent-ready commands for various tools.

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.

Turns a YouTube video or allowlisted local video into a timestamped transcript, chronological timeline, and retrievable image resources for transparent media preprocessing.