# 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.

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## 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

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## 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

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## 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