What is Credal.ai?
Credal is the control plane for enterprise AI agents, providing a unified platform to build, register, and deploy agents and MCP servers with built-in governance. It solves the problem of agent sprawl by offering a governed registry where teams can capture and share AI skills company-wide, eliminating redundant work. With Credal, you can connect over 1,000 data sources, and permissions are inherited and synced automatically from your identity provider (e.g., Okta), so no manual redefinition is needed. This ensures that every AI agent respects the user's existing access rights, preventing data oversharing.
Key features include the ability to chain specialized agents, set granular permissions for who can call which actions, and version every change in the registry. Teams can publish a skill to a whole team, a specific group, or an individual, with permissions automatically updating when users join, leave, or change roles. Credal also provides each team with its own scoped MCP server, which plugs into any agent or chat surface without requiring a custom UI.
Use cases include enabling engineers to query Salesforce via Cursor, allowing sales reps to access data through Slack, and giving executives insights via Claude—all with consistent behavior and security. Credal sits in the middle of every tool call, enforcing permissions and adding human approval workflows for sensitive actions. This allows organizations to say yes to AI adoption without sacrificing control.
Technical details: Credal integrates with major identity providers and supports automatic permission inheritance across all connected sources. It offers an on/off switch for every action and scopes exactly which tools and MCP servers each team or role can access. The platform is designed for AI platform teams looking to eliminate agent sprawl while maintaining enterprise-grade governance.
Use Cases
Key Features
unified agent registry automated permission sync 1000+ data source connections granular access controls versioned skill changes scoped MCP servers agent chaining identity provider integrationWho is it for?
enterprise AI teams, platform engineers, security teams, IT administrators, DevOps engineers, sales operations, engineering teams
