mcp-voice-summary
io.github.eduplopez/mcp-voice-summary
Reads a summary out loud when an AI coding task finishes. Offline or neural voices.
Install surfaces
How mcp-voice-summary runs, per the official MCP registry entry.
- pypi
uvx [email protected]
Governed execution
How KLA gates calls to mcp-voice-summary once it is connected.
A published policy defines which mcp-voice-summary actions an agent may take and under what conditions. Each call passes through a policy gate at the tool-call boundary. Permitted actions execute, with the policy basis recorded. Flagged actions execute and are sampled for scheduled human review. High-stakes actions pause and route to a named reviewer on the Decision Desk. The call, the policy decision, and any approval are sealed as an evidence record.
KLA also governs the agents and model providers you already run. See integrations.