low-latency-tts-api-server-mcp

by florianbuetow · ai-ml · mcp-server, glama

A low-latency text-to-speech MCP server that uses local Kokoro GGUF inference via TTS.cpp, providing say, get_voices, and get_status tools for AI agents to synthesize speech and manage playback queues.

Source: https://github.com/florianbuetow/low-latency-tts-api-server-mcp

Install

git clone https://github.com/florianbuetow/low-latency-tts-api-server-mcp

Tags: mcp-server, glama

Source: glama

About ai-ml MCP servers and Claude skills

ai-ml MCP servers extend what AI agents can do inside Claude Code, Cursor, Copilot, Codex, and Windsurf. The Skiln directory indexes 16,000+ such integrations across 22 categories.

low-latency-tts-api-server-mcp is one of hundreds of ai-ml entries indexed on Skiln. Browse the full ai-ml category or the complete directory of Claude skills, MCP servers, agents, commands, and hooks.

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Frequently asked questions

How do I install low-latency-tts-api-server-mcp?

Add the install command above to your Claude Code, Cursor, or Windsurf MCP configuration. Most servers register via npx, a local command, or a Docker image. Refer to the source repository for environment variables and credential requirements.

Which clients support low-latency-tts-api-server-mcp?

Any MCP-compatible client works: Claude Desktop, Claude Code CLI, Cursor, Windsurf, Zed, and VS Code with the official MCP extension. OpenAI Codex and GitHub Copilot increasingly support MCP via adapter bridges.

Is low-latency-tts-api-server-mcp free?

The server itself is typically open source. Any upstream service (API keys, paid tiers, hosted infrastructure) may have its own pricing. Check the source repository for details.