Best 122 Voice processing Tools in 2025

The official ElevenLabs MCP server provides the ability to interact with text - to - voice and audio processing APIs

The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.

MiniMax's official Model Context Protocol (MCP) server supports interactions with APIs such as text-to-speech, video/image generation.

This project implements the MCP server for the Typecast API, providing a standardized way for MCP clients to interact with the text-to-speech service.

The MCP server of Fireflies.ai provides functions for retrieving, searching, and generating summaries of meeting transcripts

A text-to-speech MCP server based on the built-in say command in macOS

A voice recording and transcription MCP server based on the Whisper model, which can be used as an extension of Goose AI or run independently, supporting various recording scenarios and model configurations.

An audio transcription MCP service based on MLX Whisper, supporting transcription of local files, Base64 audio, and YouTube videos, optimized for Apple M-series chips.

A high-quality text-to-speech tool and MCP service based on the OpenAI TTS API

A voice call server based on the MCP protocol, integrating Twilio and OpenAI technologies to enable AI assistants to initiate and manage real-time voice calls.

An MCP server for managing Zoom meeting transcript texts, providing functions such as meeting listing, transcript downloading, and searching.

An MCP server providing Marginalia search services

An MCP server based on the Twilio API for securely processing payment processes during voice calls, supporting asynchronous callbacks and guided workflows.

MiniMax MCP JS is a MiniMax Model Context Protocol toolkit implemented in JavaScript/TypeScript, providing functions such as text-to-speech, image generation, video generation, and voice cloning, and supporting multiple configuration methods and transmission modes.

A voice recording and transcription MCP server based on the Whisper model, which can be run as an extension of Goose AI or an independent service.

A FastMCP tool based on the Spotify API that can control the Spotify player via Cursor Composer.

An MCP server implemented for the Transcripter project, providing AI-based transcription search, summary generation, and other functions, supporting a standardized model interaction protocol.

The Zonos MCP integration project provides text-to-speech functionality for Claude, enabling direct voice generation through the Model Context Protocol, and supporting multi-language and emotional intonation settings.

An intelligent pet companion application based on the MCP protocol, realizing interaction with virtual pets through voice recognition and natural language processing, and supporting multi - platform operation.

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

The MCP server of Fireflies.ai provides retrieval, search, and summary generation functions for meeting transcripts

A text-to-speech MCP server based on the Rime API, providing system audio playback functionality.

An MCP server that provides intelligent transcription processing, with functions of natural formatting, context repair, and intelligent summarization.

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

Integrate LiveKit intelligent agents with Home Assistant MCP services to achieve smart home control through voice

The Vapi MCP Server is a tool that integrates the Vapi API through function calls, supporting voice assistant calls and appointment management through Claude Desktop.

MCP Video Digest is a video content processing service that supports extracting audio from multiple platforms and converting it into text, offering multiple transcription service options, with flexible configuration and high - efficiency processing capabilities.

An audio analysis tool based on MCP and librosa, supporting the analysis of local files, YouTube links, and audio links.

This project implements an MCP server that interacts with the Audacity audio editor through a named pipe, providing remote control functions (such as recording, playback, etc.), and supporting running with the uv tool and integration with the Claude desktop client.

An audio-to-text MCP server based on the OpenAI API, providing audio transcription functionality and supporting multiple configuration options.