This MCP server provides TTS functionality utilizing the Model Context Protocol (MCP) and connects to the Groq API to generate natural-sounding speech from text inputs. It supports multiple audio formats, offers an API tool for speech generation, and optionally plays audio directly on the server. Designed for integrating advanced speech synthesis into wider AI applications, it is suitable for developers seeking a reliable TTS server.
This MCP server provides TTS functionality utilizing the Model Context Protocol (MCP) and connects to the Groq API to generate natural-sounding speech from text inputs. It supports multiple audio formats, offers an API tool for speech generation, and optionally plays audio directly on the server. Designed for integrating advanced speech synthesis into wider AI applications, it is suitable for developers seeking a reliable TTS server.
This MCP server enables real-time Text-to-Speech conversion by leveraging the MCP framework and Groq API integration. It provides a `generate_speech` tool accessible via MCP protocol, allowing users to convert textual input into high-quality audio in formats like WAV, MP3, AAC, Opus, or Flac. The server handles API key configurations and offers optional audio playback capabilities using @tropicbliss/symphonia. Designed for easy deployment and integration, it facilitates developers to embed natural speech synthesis into their applications with scalable, fast, and flexible architecture.
Who will use mcp-tts-server?
AI developers
Voice application creators
Speech synthesis researchers
Tech companies using TTS solutions
How to use the mcp-tts-server?
Step1: Install dependencies using 'bun install'.
Step2: Set your Groq API key as an environment variable (GROQ_API_KEY).
Step3: Run the server with the appropriate command and configuration.
Step4: Use the MCP client to send text input via the generate_speech tool.
Step5: Receive the generated audio in the specified format and playback if needed.