Provides real-time policy enforcement for AI coding agents by intercepting and validating their actions against organizational standards like naming conventions, security policies, and compliance rules before execution. Prevents violations through immediate feedback and auto-correction suggestions.
Pre-execution governance for AI agents. 45 MCP tools for hold queues, audit trails, risk scoring, and policy enforcement. Validates agent actions before they execute.
An MCP server that enforces hard quality gates on AI coding agents, including forced web search, planning, and empirical test execution, to prevent common failure modes and ensure production-grade code.
Enforces AST-based architectural guardrails on AI-generated code, blocking writes that violate maintainability, security, or complexity rules and prompting immediate refactoring.
Enables AI coding agents to enforce spec-driven development and verify code before it is marked done, using six tools that catch invented APIs, scan for hallucinated content, check plugin conformance, sandbox-run tests, validate schemas, and record audit evidence.
Enforces a rigorous spec-driven engineering workflow for AI coding assistants, requiring requirements, design, and task planning before any code is written.
