Credal

Credal is a centralized platform for building, registering, and deploying AI agents and Model Context Protocol (MCP) servers across an organization. Its primary purpose is to give AI platform and engineering teams a single source of truth for all agents in production, reducing duplication, fragmentation, and “agent sprawl” while enforcing consistent governance and security controls. By standardizing how agents are created, cataloged, and managed, Credal helps organizations scale AI usage without losing oversight or reliability.

Credal provides an agent registry that tracks ownership, configuration, capabilities, and dependencies for every agent, making it easier to audit, troubleshoot, and update them over time. It supports deployment workflows that integrate with existing infrastructure and CI/CD pipelines, enabling teams to move from prototype to production with repeatable, governed processes. Built-in governance features—such as access controls, policy enforcement, and centralized logging—help ensure agents comply with organizational standards and regulatory requirements. The platform’s support for MCP servers allows teams to expose internal tools, data sources, and services to agents in a controlled and discoverable way.