"DevOps tools: Docker, Kubernetes, ArgoCD, and Terraform" 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.

Enables AI agents to perform comprehensive audio processing—stem separation, analysis, transcription, restoration, speech processing, and generation—through a unified self-hosted API with asynchronous jobs and webhooks.

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 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 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.

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

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.

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.

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

Provides local audio transcription using whisper.cpp, supporting multiple models and audio formats. Enables transcription of audio files via MCP tools with optional timestamps.

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

Provides local audio analysis tools for LLMs, enabling transcription, conversation dynamics, prosody analysis, and visual inspection without API keys.

MCP server providing 115 tools to control the Windy Word voice-to-text desktop app, enabling paste, hotkeys, transcription, recording, and many other operations.

Enables voice input for AI coding assistants by recording audio, transcribing it locally with Whisper, and optionally typing the text at the cursor position. Supports multiple languages and works with MCP-compatible tools like OpenCode, Claude Code, and Cursor.