"Techniques for Analyzing and Interacting with Large MS SQL Databases" matching MCP servers:

MCP server for text-to-speech synthesis using Azure Speech Services, supporting 6 languages with high-quality neural voices and smart voice selection.

Enables chat-driven audio analysis and enhancement using local Claude, including denoising, EQ, compression, and loudness normalization, with an A/B viewer for synchronized comparison.

A server providing text-to-speech and speech-to-text functionalities using Windows' native speech services without external dependencies.

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.

MCP server for local speech-to-text using Whisper Large V3 (MLX), enabling audio transcription with text/timestamps/SRT output and LLM-based correction, all running offline on Apple Silicon.

MCP server that scores dialogue transcripts for bridging quality, offering per-speaker indicator scores with evidence and tools for parsing, comparing, and analyzing conversations.

MCP server for recognizing and generating images, videos, and audio via DashScope, with support for large video uploads and local output previews.

Enables local, on-device transcription of local files or URLs, returning a job ID and making transcripts, segments, and full-text search available as processing completes. Uses Whisper large-v3 with SQLite storage and stdio transport, so audio and video never leave the machine.

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 Cursor, Claude, and other MCP agents to interact with the HyperWhisper app for voice transcription, model management, and recording search.

Read-only MCP server for Telegram that enables reading messages and transcribing voice, audio, and video notes via the Telegram API for use with Codex and Claude Code.

Enables ChatGPT on the web to generate and play spoken audio through an embedded player, exposing a speak tool that renders text with selectable styles and scenes via configurable text-to-speech providers. It routes each request across ElevenLabs, Cartesia, Azure Speech, and DashScope in a configured failover order, picking providers by language and scenario.

Windows-optimized MCP server for ElevenLabs text-to-speech and audio processing, with fixed file paths and Cursor IDE integration.

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 Claude to interact with WhatsApp: read chats, search messages, send messages with a mandatory confirmation step, and transcribe voice notes locally, all with encrypted storage and prompt-injection scrubbing.

Transcribe local audio/video to text + SRT/VTT with hosted Whisper large-v3, plus summaries, study notes, flashcards, document Q&A, and PDF compression. No API key required — runs via npx -y vocce-transcribe-mcp.

MCP server with persistent memory, voice understanding, multi-thread orchestration, and remote control via Telegram for AI assistants.

Enables efficient analysis of recorded meetings by transcribing audio, extracting only non-people frames (e.g., slides), and associating them with timestamps for compact LLM input.

Enables LLMs to make voice calls and send SMS messages through the Vonage API, allowing AI assistants to perform real-world telephony operations with support for speech recognition and multi-language conversations.

A Model Context Protocol server implementation that enables AI assistants to interact with RetellAI's voice services for managing calls, agents, phone numbers, and voice options.