Rime Text-to-Speech
A text-to-speech server for the MCP ecosystem that integrates with Rime's API to convert text into spoken audio. This implementation streams audio content with optimized buffering to reduce latency between text generation and speech playback. It provides a 'speak' tool that can be configured through environment variables to control voice selection, speaking style, and playback behavior. Built with TypeScript and Node.js, it supports cross-platform audio playback through various media players and includes features for handling WebSocket connections and managing temporary audio files. Particularly useful for AI assistants that need to communicate verbally with users or for applications requiring audio narration of generated content.
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/matthewdailey/rime-mcp
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Rime Text-to-Speech 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.