"Automated Penetration Testing Tools and Techniques" matching MCP servers:

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.

An MCP server enabling video processing via natural language: transcription with Whisper, segment cutting with FFmpeg, and file management.

An MCP server providing tools for speech-to-text, translation, language detection, question answering, and text-to-speech using Sarvam AI models, enabling multilingual voice agents.

Provides various AI capabilities through DeepInfra's OpenAI-compatible API including image generation, text processing, embeddings, speech recognition, object detection, and classification tasks. Enables users to access multiple AI models for diverse tasks like generating images from prompts, transcribing audio, analyzing text sentiment, and performing computer vision operations.

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.

Enables users to convert text into high-quality audio by accessing the OpenAI Text-to-Speech API. It supports customizable model selection and voice options for synthesized speech generation via the MCP protocol.

Enables AI agents to provision phone numbers, send SMS, place AI voice calls, and react to inbound events via the Dial communication stack, all through MCP tools.

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

Give your AI agents the ability to listen. Microphone capture and speech-to-text tools for MCP-compatible agents.

Provides speech recognition and synthesis tools via SaluteSpeech API, enabling AI assistants to handle voice input and output.

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.

Self-hosted WhatsApp management over Model Context Protocol, exposing a streamable HTTP MCP endpoint with 30 tools for session/QR pairing, messaging, media storage, and optional on-CPU voice note transcription via whisper.cpp.

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.

Provides translation and language detection tools to AI agents, processing text, audio, and Google Meet recordings with emotional voice style preservation via Google's Gemini Live API.

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