Show HN: PEC – A proposal for compliance metadata in the Model Context Protocol (usepec.eu)

The Model Context Protocol (MCP) has introduced a significant new proposal called PEC (Proposal for Embedded Compliance), aimed at enhancing compliance metadata within AI orchestration. PEC establishes a standardized JSON schema that specifies compliance characteristics, enabling a seamless filtering process for tools based on their jurisdiction, risk classification, and certifications. This approach is crucial as it addresses a pressing governance gap; current AI protocols lack the ability to manage regulatory compliance during real-time tool invocation, leading to compliance blindness and systemic risks. By providing a uniform framework for compliance metadata, PEC allows AI deployers to determine which tools align with their legal obligations easily. This standardization not only simplifies compliance processes but also enhances accountability, as filtering logic can be auditable and deterministically enforced across all MCP servers. With impending regulations like the EU AI Act and GDPR, PEC's adoption could significantly mitigate legal liabilities while promoting interoperability among various vendor systems. The initiative encourages early adoption before regulatory deadlines, fostering a collaborative environment for shaping future compliance standards in AI/ML technologies.