What runtime dependencies does the server require?
It requires a running Kokoro-FastAPI Docker container (GPU or CPU configuration) and the `TTS_OUTPUT_DIR` environment variable set.
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Basic information
A simple MCP (Model Context Protocol) server that provides text-to-speech conversion capabilities, written in TypeScript.
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
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A Model Context Protocol (MCP) server, written in TypeScript, that provides text-to-speech conversion. It allows AI assistants and other MCP clients to convert text into MP3 audio files through a standardized interface.
Install globally via npm install -g mcp-koko-tts, set the TTS_OUTPUT_DIR environment variable (default ~/.mcp_tts), and start the required Kokoro-FastAPI Docker container (GPU or CPU). Then configure the MCP client (e.g., Cherry Studio) with the server’s build path.
It requires a running Kokoro-FastAPI Docker container (GPU or CPU configuration) and the `TTS_OUTPUT_DIR` environment variable set.
Install it globally via npm: `npm install -g mcp-koko-tts`.
Files are saved to the directory specified by the `TTS_OUTPUT_DIR` environment variable, which defaults to `~/.mcp_tts`.
Yes, when using the GPU Docker image it requires an NVIDIA GPU with CUDA 12.8 support, achieving ~35x–100x realtime speed.
All generated speech audio files are in MP3 format.
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Model Context Protocol Servers
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