The governed registry for enterprise AI agents
Credal provides the centralized trust layer for governing and scaling AI agents, MCP servers, and skills connected to any system, operating within the security and permission boundaries your organization requires.
Connect AI to every enterprise system, permissions included
Credal connects to 30+ enterprise systems out of the box. Every agent automatically inherits source permissions, so users only ever see data they are already authorized to access.
One-click integrations to Google Drive, Slack, Salesforce, Confluence, Jira, Snowflake, and 30+ more
Permissions mirror source systems in real time with no extra configuration
Any agent or AI application draws from the same indexed, curated knowledge base
Register third-party MCP servers and manage them all from one control plane
Build agents that take real action across your systems
Credal's agent builder lets you create enterprise AI agents that for complex, multi-step workflows that require precision and control.
Attach tools, actions, and MCP servers to any agent
Give agents the ability to read and write to your systems. Use the built-in action library or add any MCP server.
Read and write to Salesforce, Jira, Slack, Google Drive, and 30+ systems
Query Snowflake, databases, and structured data sources
Add any third-party MCP server
Call other agents to build out multi-step workflows
Trigger workflows to run agents on a schedule
Know your agents work before they go live
Add evaluations to have a systematic way to verify agent quality before deployment: structured test suites, multi-dimensional scoring, and a clear history of improvement over time. Ship agents into production knowing they will hold up.
Define test cases with expected outputs and run them in batches
Score responses on accuracy, cost efficiency, latency, and more
Track rubric score history to measure improvement run over run
Add eval failures directly as training examples to refine agent behavior
Deploy anywhere
Every agent in the registry works across ChatGPT, Claude, Cursor, Slack, and any API or MCP surface, with the same governance policies enforced regardless of where it runs. Build once, deploy everywhere.
Bring your agents to any chat UI (ChatGPT, Claude, Cursor, Slack, etc.) with authentication
Portable memory across tools that understands how your enterprise works
Deploy to any interface without rebuilding governance from scratch
Govern every agent across every surface from one place
As agents multiply across ChatGPT, Claude, Cursor, Slack, and other surfaces, organizations lose visibility into what is running, who built it, and what data it can reach. The agent registry consolidates all agents into a governed catalog that admins can manage.
Scoped access to every agent, tool, and MCP server
Define exactly who can invoke which agents, call which tools, and access which MCP servers. Ensure every interaction operates within organizational boundaries.
Control who can use which MCP servers to do what
MCP servers and tool calling specs that can be restricted to specified principals
Manage agentic access to data in systems where the end user does not have access
Human-in-the-loop approvals for any agent or action
Administrative visibility and control across every agent
See, manage, and govern every agent and tool running across the organization, giving builders a trusted library to build from.
For admins
Single control panel for all agents and tools across the organization
See every agent using a given system, such as what is reaching Google Drive
Set global rules: require approval for external emails, cap payment amounts, block destructive operations
Enforce permission boundaries across every agent in the enterprise
Measure and drive adoption across the user base from a single dashboard
For builders
Browse and activate vetted connectors, skills, and agents from a central hub
Evaluate solutions and scale them to teams and the organization quickly
Stack governed, pre-vetted tools to accelerate time to production
Better search and response accuracy from curated, well-scoped tooling
One governed platform for your whole organization
Each department gets a purpose-built agent that knows their data, their workflows, and their context. The answers users get, the actions they can take, and the data they see are scoped to their permissions automatically.
Departmental agents built around how each team actually works
Intelligent routing delivers the right agent to the right person automatically
Works where your team already is: Slack, Claude, ChatGPT, any MCP surface
IT maintains full visibility while teams move fast
Security and compliance built into every layer
Credal is designed to meet the security, compliance, and governance standards large organizations require, so you can move from AI experimentation to production without compromising control.
SOC 2 Type II certified, HIPAA-ready, and compliant with the EU, UK, and Swiss Data Privacy Framework
Agents only reach data the requesting user is authorized to see, mirroring access controls in each connected system
AI policy enforcement: upload your acceptable use policy and automatically warn users or alert IT when requests violate it
Full audit logging: every user request, agent action, and data access is logged with data lineage for complete visibility
Cloud or on-prem deployment, with SSO and SCIM integration for identity and access management