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Policy Gatekeeper

Enforces organizational policies on AI coding agents by validating their commands, file operations, and code changes in real-time.

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AI coding assistants often bypass organizational standards, leading to issues like incorrect naming conventions, security vulnerabilities, or compliance breaches that traditional methods only catch post-execution. This tool acts as a real-time policy gatekeeper, leveraging the Model Context Protocol (MCP) to intercept and validate every action an AI agent proposes. It ensures that commands, file operations, and code changes adhere to predefined organizational policies, proactively preventing violations and integrating seamlessly into AI agent workflows.

Developer Tools
Productivity & Workflow
Security & Testing

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