Honk
This MCP server, developed by Kim McCarty, provides a simple text-to-speech interface for MacOS using the built-in 'say' command. Built with Python and leveraging the FastMCP framework, it offers a single tool for converting text to speech. The implementation focuses on demonstrating basic MCP functionality in a Nix-based development environment, enabling AI models to generate audible output on MacOS systems. By connecting AI assistants with the system's text-to-speech capabilities, this server allows for scenarios like voice notifications or audio content generation. It's particularly useful as a starting point for developers looking to understand MCP server implementation within a Nix ecosystem or those wanting to add basic speech output to their AI-powered applications.
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 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · 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/mccartykim/honk_mcp
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Honk 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.