Langlearn Tts by Punt Labs is a Python-based MCP server tool designed to enhance language learning through audio. This free Claude Extension connects to external text-to-speech providers like ElevenLabs, OpenAI TTS, and AWS Polly. It enables users to generate spoken audio from text, supporting various language education scenarios. The tool is compatible with Claude Desktop and other MCP clients that utilize the stdio transport protocol, offering versatile deployment options for its target audience.

What does Langlearn Tts connect to?

Langlearn Tts functions as a text-to-speech Claude Extension, establishing connections with several external text-to-speech providers. It supports integration with prominent services such as ElevenLabs, OpenAI TTS, and AWS Polly. This design allows users to choose their preferred audio synthesis engine, drawing on the capabilities of established platforms. The tool acts as an intermediary, channeling text requests to these providers to generate spoken output.

Core features and tools

The tool exposes several callable functions for audio generation. These include synthesize for converting single text inputs to MP3, and synthesize_batch for processing multiple texts, with an option to merge them. For paired audio, synthesize_pair stitches two texts with a pause, while synthesize_pair_batch handles multiple text pairs, also with merging capabilities. Each tool supports an auto_play parameter, defaulting to true, for immediate audio playback.

Who is it for?

Langlearn Tts is primarily for users of Claude Desktop, especially those engaged in language learning activities. It caters to individuals seeking to incorporate audio pronunciation and listening exercises into their study routines. The tool supports specific language education workflows, making it a valuable addition for learners. Skip this if you do not use Claude Desktop or other MCP clients supporting stdio transport.

How to get started

The server authenticates using an API key from one of the supported text-to-speech providers, such as ElevenLabs, OpenAI TTS, or AWS Polly. For Claude Desktop, installation involves a .mcpb file, which prompts for the API key and an output directory. For other MCP clients, setup requires using environment variables with the uvx server command, utilizing the stdio transport protocol for communication.

Use cases

• Asking Claude to pronounce words, such as "Say 'Guten Morgen' in German."
• Generating audio flashcards, for instance, "Create an audio flashcard: 'good morning' in English, then 'Guten Morgen' in German."
• Running full language lessons with audio, often utilizing pre-calibrated tutor prompts.

Langlearn Tts offers a focused solution for integrating text-to-speech capabilities into language learning within the MCP ecosystem. Its support for multiple external providers and specialized audio generation tools makes it adaptable for various educational needs. The program's design supports both single-word pronunciation and complex lesson structures.