An open - source short - video automatic generation tool that integrates text - to - speech, automatic subtitles, background videos, and music to create professional short videos from simple text input.

mcp-hfspace is an MCP server that connects to Hugging Face Spaces, supporting various AI functions such as image generation, speech processing, and visual models, simplifying the integration with Claude Desktop.

An MCP server that provides queries for Erick Wendel's contributions on different platforms, supporting natural - language queries for speeches, blogs and videos.

An MCP server based on Spring Boot that provides an AI access interface to Spring I/O 2025 conference data, including structured data such as speeches, workshops, and speaker information.

An MCP server for text-to-speech and speech-to-text based on Windows native voice services, without relying on external APIs.

Speech MCP is a voice interaction extension designed for Goose, providing real-time voice recognition, text-to-speech, and audio visualization functions.

An MCP server designed for the AivisSpeech text-to-speech engine, supporting Japanese speech synthesis, multi-character voice selection, and parameter configuration, enabling seamless integration with AI assistants.

The MCP integration project of Zonos TTS and Claude, realizing text - to - speech function.

A video, audio, and text extraction server based on the MCP protocol, supporting video downloads from multiple platforms and using the Whisper model for speech-to-text processing

The MCP service tool collection provides API call functions for AI services on Hugging Face and Dify, supporting various NLP, CV, and speech processing tasks.

A text-to-speech server project based on the MCP protocol, which implements speech synthesis functionality through the Groq API and supports multiple audio format outputs.

A voice conversion MCP service based on Windows native voice API

mcp-audio is an MCP plugin compliant with the AIO-2030 standard, providing speech-to-text functionality and supporting multiple audio formats and API call methods.

This project expands the video speech recognition function. It originally only supported the local Whisper model, and now it newly supports the online speech recognition services of CapCut and Bcut, providing a flexible multi - service selection architecture.

NijiVoice-MCP is an in - development project that implements the integration of the Model Context Protocol (MCP) with the Niji Voice API, enabling LLMs to easily call Niji Voice's text - to - speech functions through the MCP interface, including voice generation, getting the list of voice actors, and querying the balance.

A text - to - speech MCP server plugin designed for Claude Code. It uses the OpenAI TTS API to convert text into voice and provides automatic voice feedback.

A high-performance speech recognition MCP server based on Faster Whisper, providing efficient audio transcription capabilities, supporting batch processing, multiple model sizes, and multiple output formats.

Kokoro Text to Speech (TTS) MCP Server, supporting the generation of MP3 files and optional uploading to S3 storage

The MCP server for VOICEPEAK text-to-speech, supporting functions such as speech synthesis, playback, and pronunciation dictionary management

MCP speech synthesis server based on Edge-TTS

This is an MCP server developed for the Nerdearla 2025 conference, providing real - time agenda query functions, supporting Claude Desktop and remote HTTP connections, and including tools such as intelligent caching and speech recommendation.

This is an MCP server for controlling the Reachy Mini robot, which enables functions such as dance, expression, head movement, camera image capture, head tracking, and local real-time speech synthesis through natural language instructions.

Minimax MCP Tools is an MCP server implementation that integrates Minimax AI capabilities, providing image generation and text - to - speech functions.

Speech MCP is a voice interaction extension designed for Goose, providing real-time voice recognition, high-quality text-to-speech, multilingual support, and a modern audio visualization interface. It supports multi-character dialogue generation and audio transcription functions.

The Nostr MCP Server is a server based on the Model Context Protocol (MCP) that enables AI models to interact with the Nostr protocol, achieving free speech interaction on the decentralized social network.

The MCP Speaker Diarization and Recognition System is a complete solution integrating GPU-accelerated speaker separation, speech recognition, emotion detection, and a web interface. It combines the speaker separation of pyannote.audio with the faster-whisper transcription technology, supporting persistent speaker recognition (one-time registration, permanent recognition), dual-detector emotion analysis (combining general AI and personalized voiceprints), real-time stream processing, REST API, and MCP server, and is designed for AI intelligent agent integration and hobby projects.

The Windows TTS MCP Server is a text - to - speech service based on PowerShell, providing stable and efficient TTS functionality for Claude Desktop. It supports operations such as voice control, speed adjustment, and emergency mute.

The Hume MCP Server is an AI collaboration tool that allows users to use Octave text-to-speech technology through MCP client applications (such as Claude Desktop, Cursor, etc.) to achieve intelligent speech synthesis and interaction.

MCP-hfspace is a server tool that simplifies the connection to Hugging Face Spaces. It supports multiple AI functions such as image generation, speech processing, and vision models, and seamlessly integrates with Claude Desktop.

An implementation of the MCP protocol server for AivisSpeech, providing an interface with the AivisSpeech Engine and supporting speech synthesis for AI assistants.

A server implementation based on the Resemble AI voice generation API, supporting integration with Claude and Cursor through the MCP protocol and providing text - to - speech functionality.

An MCP server implementation based on the ElevenLabs Scribe speech-to-text API, providing real-time transcription, file transcription, context management, and two-way streaming communication capabilities.

This project is an experimental toolset for MCP servers implemented in Ruby, including operating system tools and media server functions, providing functions such as file operations, clipboard management, and speech transcription.

The ASR MCP server is an automatic speech recognition service based on the Whisper engine, providing the speech synthesis function through the MCP tool for easy application integration.

Shorts Video Maker is an open - source tool for automated short - video generation. It combines text - to - speech, automatic subtitle, background video, and music technologies to create engaging short - video content through simple text input. It supports REST API and MCP protocols and is suitable for content creators and developers.

Kokoro MCP Server is a speech synthesis service project developed based on Python, providing a guide for setting up the development environment, a Docker deployment solution, and debugging tools, and supporting multi-architecture deployment and modular development.

The Tavus MCP server is an AI video generation service interface based on the Model Context Protocol, providing all functions of the Tavus API v2, including 25 tools such as AI digital human creation, video generation, conversational AI, lip-syncing, and speech synthesis.

MCP Server Whisper is an audio processing server based on OpenAI Whisper and GPT - 4o models, providing advanced audio transcription, format conversion, batch processing, and text - to - speech functions. It enables seamless interaction with AI assistants through the Model Context Protocol standard.

A text-to-speech MCP server based on the Kokoro TTS model, providing high-quality speech synthesis services

This is an MCP server project integrated with the VOICEVOX engine, providing speech synthesis and speaker information retrieval functions, and supporting local voice playback on Mac.