Show HN: Security MCP expose your org's policies and paved roads to agents (github.com)

A new security-focused MCP (Model Context Provider) server has been unveiled, designed to integrate organizational policies and security tools directly into AI coding agents like Claude Code and Codex. This server acts as an API that allows security teams to define context for these agents, ensuring they access critical information, such as risk assessments and policy documents, at each stage of their workflow. By structuring the server's design around customizable collections — including policy and risk management tools — teams can tailor their security offerings to meet specific operational needs. This development is significant for the AI/ML community as it emphasizes the role of structured contextual information in enhancing the safety and reliability of AI-generated code. The MCP’s modular architecture simplifies the integration of various resources, allowing teams to mix and match sources like local repositories or HTTP services. It also facilitates efficient content querying through specified actions (e.g., listing or retrieving documents), ensuring that agents remain focused on relevant materials without overloading their context window. This server not only streamlines security workflows but also supports greater accountability through features like audit logging and parameterized tool invocation, advancing best practices in AI development and deployment.