"Information about automated testing" matching MCP servers:

Enables automated audio restoration, transcription, and speaker diarization via MCP tools for queuing files, monitoring progress, and retrieving speaker-labeled transcripts.

MCP Server for automated conversational phone calls using Asterisk with Speech-to-Speech capabilities, allowing users to make phone conversations as easily as writing a prompt.

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 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 automated video learning workflows by ingesting video URLs, managing remote GPU ASR transcription, pulling transcripts, generating digest summaries, and searching local notes via MCP tools.

Enables AI assistants to summarize, take notes on, and answer questions about YouTube, Bilibili, and Xiaohongshu videos by providing subtitles and local speech transcription with timestamps via MCP.

Automated short-form video creation from text prompts, combining text-to-speech, captions, background videos, and music, exposed as an MCP server for AI agents.

Enables parsing Douyin video information, downloading videos without watermark, and transcribing speech to text using Tencent Cloud ASR.

Provides voice recognition and text extraction capabilities with support for both stdio and MCP modes, processing audio files or base64 encoded data and returning structured results with language, emotion, and speaker information.

Bridges EchoLink amateur radio VoIP with AI voice models, enabling AI to connect to stations, transmit synthesized speech, and receive/transcribe audio for automated radio conversations.

Enables end-to-end testing of voice-enabled web applications by simulating a synthetic user with a virtual microphone, virtual speakers, a real browser, and a viewable display, allowing audio injection, speech capture/transcription, and browser automation.

Enables AI agents to make real-world phone calls with AI voice technology and provides tools to track call status, transcripts, and summaries. It supports automated communication with both live numbers and simulated businesses for testing and demonstration purposes.

Enables AI coding assistants and agents to natively generate images, videos, 3D meshes, Gaussian splats, and speech, and to manage media assets, through natural language commands or automated scripts over the Model Context Protocol. It exposes 55 tools alongside a Python CLI automation suite for batch generation, camera-orbit passes, credit/cost estimation, and companion API bridge integration.