Credal

Credal is a control plane platform designed for enterprise AI teams to build, register, and deploy AI agents and MCP (Model Context Protocol) servers in a governed and secure environment. The platform acts as a centralized agent registry that enables organizations to manage all internal, third-party, and verified agents from a single interface, effectively preventing agent sprawl across the enterprise. Credal allows users to create AI agents that are powered by enterprise data and subject to organizational controls, ensuring that sensitive information remains protected during agent execution. The platform supports a live-running workflow: users can initiate an agent request, select a model (such as Claude Opus 4.7), specify the context and permissions (e.g., "Only what Jess can see"), and then let the agent perform actions like creating documents or posting to Slack. Before certain actions are taken, the system can require human approval, providing an additional layer of governance. All agent activities are recorded for audit trails and can be exported to monitoring and logging tools such as Splunk and Datadog, making it suitable for compliance-heavy industries. The agent registry includes search functionality to quickly locate agents by type or status. Credal also supports integration with various external services beyond Slack and Box, including GitHub for MCP (Model Context Protocol) access, and more platforms are listed as compatible. The platform is used by both large enterprises and scaling startups to manage their AI agent ecosystem with built-in governance, role-based access controls, and version management. It eliminates the need for ad-hoc agent deployments by providing a structured lifecycle from building and registering agents to deploying them in production