"Speech & Transcription" matching MCP servers:

A Model Context Protocol server that provides text-to-speech capabilities using the Kokoro TTS model, offering multiple voice options and customizable speech parameters.

A Goose MCP extension providing voice interaction with modern audio visualization, allowing users to communicate with Goose through speech rather than text.

Enables transcript timestamp-aligned speech filler word removal and cutlist generation for automated video editing, with zero-dependency MCP integration.

Enables MCP-compatible clients to detect and remove speech filler words using timestamp-aligned transcripts, and generate precise cut lists for video editing workflows.

Enables transcription of videos and audio from 1000+ platforms (YouTube, Bilibili, TikTok, etc.) using subtitle extraction first, then local Whisper transcription, with support for long videos, async tasks, and Chinese ASR optimization.

Generates images, videos, music, and speech via the Chutes API, saving assets directly into the project workspace.

Local MCP server that adds multimodal capabilities to text-only models like Codex/DeepSeek, offering tools for image description, audio transcription, video analysis, image/video generation, and speech synthesis.

Official AllVoiceLab Model Context Protocol (MCP) server, supporting interaction with powerful text-to-speech and video translation APIs.

Enables AI agents to download, transcribe, and inspect video or audio URLs from YouTube, TikTok, X, and 1000+ other sites using server-side yt-dlp, residential proxies, and speech-to-text.

Enables local audio and video transcription via the audiototext engine, returning detected language, full text, and timestamped segments.

Extracts watermark-free videos and images from Douyin (TikTok) and Xiaohongshu (RedNote) share links, with optional AI-powered video transcription support.

An MCP server implementation that integrates with Minimax API to provide AI-powered image generation and text-to-speech functionality in editors like Windsurf and Cursor.

Enables AI assistants to transcribe audio and video from URLs or local files with high accuracy, speaker diarization, 119 languages, and word-level timestamps, while also supporting transcription management and caption export in SRT, WebVTT, or plain text.

Enables AI assistants to generate animated overlays and edit short videos — cutting clips together, removing pauses, adding captions, and exporting overlays as MP4, MOV or WebM with transparent or green-screen backgrounds. All rendering, transcription and media handling happen locally on the user's own computer.

Audio perception for AI agents. Measure loudness, clipping, noise and pitch; view spectrograms; split audio into events; transcribe speech; compare before/after; and clean up, edit or synthesize sound. Runs locally, no API keys.

Records narrated walkthroughs of any webapp by orchestrating Playwright, speech-mcp TTS, and FFmpeg composition.

JavaScript implementation of MiniMax MCP that enables interaction with MiniMax AI services for image generation, video generation, text-to-speech, and voice cloning through MCP-compatible clients.

MCP server that transcribes songs into multi-track General MIDI files, identifying instruments and structuring tracks. Accepts audio files and manages transcription jobs with queue and ETA.

Extracts YouTube video metadata, titles, and descriptions along with transcripts generated from subtitles or OpenAI Whisper speech-to-text. This server enables users to retrieve and analyze detailed video content directly within MCP-compatible environments.

Enables AI assistants to transcribe Instagram, TikTok, YouTube, and Facebook videos, extract comments, and manage transcription jobs and credit balances through ReelScribe.

Enables text-to-speech playback with multiple Japanese character voices using VLC, supporting simultaneous audio playback and custom pronunciation dictionaries for English words.

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.

A cross-platform MCP server that enables Claude to speak using Microsoft Edge TTS with support for over 300 voices across 50+ languages. It requires no API keys and allows for customization of speech rate, volume, and pitch.

Universal MCP server for the full Replicate catalog: image, video, audio, music, speech (TTS+STT), LLMs, vision, upscaling, segmentation, embeddings, voice cloning, 3D, and lipsync. 36 tools and 63 curated models, with async batch + DAG pipeline orchestration and auto-download of outputs.

Transcripts from YouTube, TikTok and Instagram Reel links in one tool call: existing captions or AI transcription, with timing and SRT, VTT, JSON or TXT exports. Runs locally with npx and a Transcript Dock API key.

Enables Claude Desktop and Claude Code to synthesize and play speech using VOICEVOX text-to-speech engine. Supports multiple voice characters, session-based voice assignment, and queue management for audio playback.

An MCP server for AI-powered media generation using Google Gemini, enabling creation of images, videos, music, and speech directly from AI agents.

Enables transcription of video speech and burning TikTok/Reels-style animated captions into MP4 files locally, using 15 preset styles with batch folder jobs and optional cloud transcription, correction, translation, and emoji features.

Controls Reachy Mini robot, enabling movement of head, body, and antennas, playing animations, capturing images, text-to-speech, and WebRTC streaming via natural language.

Enables integration with VOICEVOX text-to-speech services to convert text into audio using a variety of character voices. It provides tools for speech generation, listing available speakers, and monitoring system health.