"Information about Test-Driven Development (TDD)" matching MCP servers:

Provides accurate meeting transcription with speaker diarization and multilingual support, allowing users to submit audio URLs, poll transcription status, get transcripts, and summarize via MCP tools in their IDE.

MCP server that synthesizes Claude Code responses into Japanese speech using VOICEVOX, enabling audible feedback during development.

Enables provisioning and managing Vapi inbound answering assistants locally, including templates, phone numbers, tools, structured outputs, and test calls.

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 natural language-driven speech synthesis using Fish Audio's Text-to-Speech API, supporting multiple voices, streaming, and flexible configuration.

An MCP (Model Context Protocol) server that provides seamless integration between Fish Audio's Text-to-Speech API and LLMs like Claude, enabling natural language-driven speech synthesis.

Enables podcast producers and agents to manage multitrack projects, run per-track transcription, perform transcript-driven edits, process audio via FFmpeg, and inspect a read-only DAW timeline over MCP.

Enables coding agents to build, test, and deploy production voice agents with real phone numbers directly from the editor, including live call monitoring and sandboxed development.

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 small online store owners to run a Shopify or WooCommerce shop by voice through Alexa+, answering questions about sales and stock while executing confirmation-gated actions like shipping orders or drafting supplier messages. Destructive or large-impact writes require a spoken code and are recorded in an audit log.

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.

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.

Serves a single set of typed, validated tool definitions to MCP clients over stdio, letting them perform real actions through one controlled executor. The same definitions power a speech-driven OpenAI tool-calling agent, so voice and MCP clients share identical, validated capabilities.

Turns a single XState-compatible finite state machine config into a voice-driven MCP surface, generating one tool per event and a resource exposing the current state, context, and available actions. Lets voice assistants and other MCP clients drive stateful conversations and workflows from one source of truth, with guards enforced at call time and state prompts used as spoken replies.

A local MCP server that turns any text into narration, voice-overs, dialogues, audiobook chapters and per-shot video clips as MP3/WAV files — with emotions, acting modes, inline cues, presets and subtitles — driven by a ChatGPT sign-in rather than an API key. It also exposes tools for inspecting audio (timings, pace, pitch, waveform), transcribing recordings, listing and favouring voices, saving pronunciation presets, and checking sign-in status.

A stdio MCP server that lets Claude Code sessions be driven directly from WhatsApp chats, with bidirectional messaging and media, voice-note transcription, pairing-code access control, per-group personalities, and emoji-reaction approval of tool requests. It supports both linked-device pairing for personal numbers and the official WhatsApp Cloud API for business DMs, and can also be run by other MCP clients on a poll-based basis.

Enables Claude Code sessions to be driven from WhatsApp, with bidirectional messaging, media and voice-note transcription, per-group personalities, and tool-permission approval via emoji reactions. Access is gated by pairing codes and allowlists, and it runs as a plain stdio MCP server using either a linked-device pairing or the official Cloud API.

Profile-driven MCP server for Google Cloud Text-to-Speech that exposes tools to synthesize text to speech, run diagnostics, and stop playback, with voice and settings locked per profile.

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

Generates coherent mixed audio scenes (speech, music, SFX, ambience) from text using an LLM-driven model, with speech in 9 languages and emotion control.