"Secret scanning and credential detection tools" matching MCP servers:

Enables room agents to generate or edit images (published directly into the room's Docs rather than passed through the model's context) and transcribe audio attachments, using the deployment's media providers with the room itself acting as the credential.

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.

An MCP server that enables transcribing local audio files and Telegram voice messages using OpenAI's Whisper via local inference or cloud API. It supports multiple audio formats, automatic language detection, and optional word-level timestamps for AI-powered audio analysis.

Enables agents to submit audio files to the local Meeting Transcriber macOS app, retrieve diarized transcripts, assign speaker names, and start or stop automatic meeting detection over its localhost automation API. Everything runs on-device, so no audio or transcripts leave the Mac.

Enables an AI assistant to place user-approved phone calls in the callee's language through your own Bland or Twilio account, with language detection, script generation, cost estimates, and safety guard rails. Includes a preview-then-confirm gate, plus call status, transcripts, and summaries.

MCP server that analyzes TTS audio recordings, providing transcription, quality scoring, pacing analysis, and mispronunciation detection to debug voice call center audio.

AI-powered speech tools by Brainiall: pronunciation assessment with phoneme-level feedback, speech-to-text with language detection, and text-to-speech with multiple voices.

Enables high-quality transcription and subtitle generation from local media files or URLs using Faster Whisper on local hardware. It supports automatic language detection and integration with MCP clients for seamless speech-to-text workflows.

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 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 asynchronous transcription of long audio and video files using Deepgram's Speech-to-Text API with features like speaker diarization, sentiment analysis, topic detection, and summarization without timeout issues.

An MCP server that audits voice-assistant tools for prompt injection, tool poisoning, privacy leaks and speech-unfriendly answers. It exposes scanning, PII/link checks, voice rewriting and server-audit tools so users can test whether MCP tools are safe and voice-ready.

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.

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.

Enables hands-free voice collaboration with a coding agent: you speak requirements aloud and hear only short, plain-language progress and completion summaries while the agent edits code, runs tests, and fixes bugs in the background. It also handles continuous speech recognition with automatic turn detection, barge-in interruption, and spoken approval prompts before risky operations.

Enables screen-free family play through a voice assistant by secretly generating a solvable whodunnit set in the household's own named rooms, or locking in a yes/no guessing target, and revealing answers only through governed tools. Keeps every culprit, clue, and secret in server-side SQLite, enforcing question counts and accusation limits so the spoken host can narrate without knowing the solution.

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.

Enables link type detection, video downloading, metadata extraction, and transcript generation across 16+ platforms including YouTube, Bilibili, and WeChat Channels. Supports automatic subtitle extraction and optional Whisper speech-to-text for videos without captions.

A self-hosted MCP server that connects AI clients to local media-generation backends like ComfyUI and Blender, and provides built-in utilities for video/audio analysis, editing, subtitles, speech, and scene detection via a persistent file cache.

Enables voice-driven control of a virtual Micro Duck through MCP tools for actions such as nodding, walking, turning, stopping, status checks, flash steps, and bear shakes, with animation preview and robotd/MuJoCo simulation backends.

Enables speech-to-text transcription, text-to-speech synthesis, and audio analysis using Deepgram's AI models. Supports features like speaker diarization, sentiment analysis, language detection, and various audio processing capabilities.

Enables real-time detection of speech turn completion, distinguishing mid-sentence hesitation pauses from finished turns for voice agents and conversational audio pipelines.

Enables AI agents to interact with a personal Telegram account via MCP, offering tools for reading and searching chats, summarizing unread messages, sending and editing messages, handling files and voice transcripts, and managing groups and channels, with read-only mode by default.

A type-safe MCP server for the Sarvam AI API that enables chat, translation, transliteration, language detection, speech-to-text, and text-to-speech across 10 Indic languages and English.

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.

Enables AI assistants to integrate with Google Dialogflow CX for intent detection, session management, and conversational capabilities.