Coverctl

Coverctl is a policy enforcement tool that enables AI coding agents and teams to catch and manage code coverage regressions before code is committed. It works across 15+ languages and integrates directly into the agent workflow using the Model Context Protocol (MCP). Coverctl automates test coverage checks and suggestions in real time, supporting agent-driven development and enforcing per-domain coverage policies locally – without relying on dashboards or post-CI reviews. Ideal for engineering teams using AI agents and seeking strict, cross-language coverage governance, it is free and open-source for local use.