Zonos TTS MCP for Linux

0
0 Reviews
0 Stars
The Zonos TTS MCP for Linux is a modified server system designed to enable high-performance text-to-speech synthesis with Zonos API, supporting GPU optimization, multi-language, and multi-emotion capabilities, suitable for integration with AI models like Claude.
Added on:
Created by:
Zonos TTS MCP for Linux

Zonos TTS MCP for Linux

0 Reviews
0
0
Zonos TTS MCP for Linux
The Zonos TTS MCP for Linux is a modified server system designed to enable high-performance text-to-speech synthesis with Zonos API, supporting GPU optimization, multi-language, and multi-emotion capabilities, suitable for integration with AI models like Claude.
Added on:
Created by:
Apr 01 2025
Tyler Blaine Hall
Featured

What is Zonos TTS MCP for Linux?

This MCP (Model Context Protocol) server for Zonos TTS on Linux provides advanced text-to-speech functionalities, allowing AI systems like Claude to generate natural speech with support for multiple languages and various emotional tones such as neutral, happy, sad, and angry. It offers GPU-based performance optimizations for faster processing, proper audio playback on Linux systems, and easy integration with existing AI workflows. Users must have the Zonos API running, Node.js installed, and PulseAudio or PipeWire configured for audio output. The setup involves cloning the repository, installing dependencies, building the server, and configuring the MJCP server in the AI setup. Once configured, Claude can invoke speech synthesis directly through predefined tools.

Who will use Zonos TTS MCP for Linux?

  • AI developers integrating text-to-speech capabilities
  • Linux system administrators managing speech synthesis servers
  • Researchers working on multi-language voice generation
  • Developers customizing the Zonos TTS system for specific applications

How to use the Zonos TTS MCP for Linux?

  • Step 1: Ensure Zonos API server is running.
  • Step 2: Clone the repository with `git clone https://github.com/angrysky56/Zonos-TTS-MCP-Linux.git`.
  • Step 3: Install dependencies using `npm install @modelcontextprotocol/sdk axios zod`.
  • Step 4: Build the MCP server with `npm run build`.
  • Step 5: Add the server command to your Claude configuration file under `mcpServers`.
  • Step 6: Start the MCP server and ensure it's running properly.
  • Step 7: Use Claude’s `speak_response` tool to generate speech.

Zonos TTS MCP for Linux's Core Features & Benefits

The Core Features
  • Text-to-speech synthesis with multi-language support
  • Emotion control (neutral, happy, sad, angry)
  • GPU-accelerated performance
  • Linux audio output compatibility
  • Easy integration with AI systems like Claude
The Benefits
  • High-quality natural speech synthesis
  • Fast processing with GPU optimization
  • Supports multiple languages and expressions
  • Simple setup and configuration
  • Enhances AI audio interaction capabilities

Zonos TTS MCP for Linux's Main Use Cases & Applications

  • AI-powered voice assistants in Linux environments
  • Multi-language speech synthesis for research
  • Customizable speech output for media production
  • Accessible voice generation for development projects

FAQs of Zonos TTS MCP for Linux

Developer

You may also like:

Developer Tools

A desktop application for managing server and client interactions with comprehensive functionalities.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
Provides access to YNAB account balances, transactions, and transaction creation through MCP protocol.
A fast, scalable MCP server for managing real-time multi-client Zerodha trading operations.
A remote SSH client facilitating secure, proxy-based access to MCP servers for remote tool utilization.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A secure MCP server enabling AI agents to interact with Authenticator App for 2FA codes and passwords.

Research And Data

A server implementation supporting Model Context Protocol, integrating CRIC's industrial AI capabilities.
Provides real-time traffic, air quality, weather, and bike-sharing data for Valencia city in a unified platform.
A React application demonstrating integration with Supabase via MCP tools and Tambo for UI component registration.
A MCP client integrating Brave Search API for web searches, utilizing MCP protocol for efficient communication.
A protocol server enabling seamless communication between Umbraco CMS and external applications.
NOL integrates LangChain and Open Router to create a multi-client MCP server using Next.js
Connects LLMs to Firebolt Data Warehouse for autonomous querying, data access, and insight generation.
A client framework for connecting AI agents to MCP servers, enabling tool discovery and integration.
Spring Link facilitates linking and managing multiple Spring Boot applications efficiently within a unified environment.
An open-source client to interact with multiple MCP servers, enabling seamless tool access for Claude.

AI Chatbot

Integrates APIs, AI, and automation to enhance server and client functionalities dynamically.
Provides long-term memory for LLMs by storing and retrieving contextual information via MCP standards.
An advanced clinical evidence analysis server supporting precision medicine and oncology research with flexible search options.
A platform collecting A2A agents, tools, servers, and clients for effective agent communication and collaboration.
A Spring-based chatbot for Cloud Foundry that integrates with AI services, MCP, and memGPT for advanced capabilities.
An AI agent controlling macOS using OS-level tools, compatible with MCP, facilitating system management via AI.
PHP client library enabling interaction with MCP servers via SSE, StdIO, or external processes.
A platform for managing and deploying autonomous agents, tools, servers, and clients for automation tasks.
Enables interaction with powerful Text to Speech and video generation APIs for multimedia content creation.
An MCP server providing API access to RedNote (XiaoHongShu, xhs) for seamless integration.