TTS Say
This MCP server, developed by hirokidaichi, enables text-to-speech functionality for AI agents. Built with TypeScript and leveraging the Model Context Protocol SDK, it integrates with OpenAI's API and a local sound playback library to convert text into audible speech. The implementation focuses on providing a simple interface for text-to-speech conversion, offering functionality to generate and play audio from text input. It's particularly useful for applications requiring voice output capabilities, enabling use cases such as AI-powered voice assistants, accessibility tools for visually impaired users, or audio content generation without the need for complex audio processing setups.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- media
- Source
- PulseMCP
- Repository
- github.com/hirokidaichi/mcp-tts-say
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve TTS Say from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.