ibl.ai Integrations

Native integrations across LMS, SIS, CRM, and enterprise systems — via LTI 1.3, APIs, and MCP — so agents plug into the platforms your teams already use.

22 pages

What's in the Integrations Hub

Wire ibl.ai into the systems your organization already runs — LMS (Canvas, Blackboard, Moodle, D2L Brightspace, Schoology, Google Classroom), SIS (Banner, PeopleSoft, Workday Student, PowerSchool, Infinite Campus, Slate), CRM (Salesforce, HubSpot, EAB Navigate, Slate, Element451), EHR (Epic, Cerner, athenahealth), financial systems (Bloomberg, Refinitiv, FIS), and the long tail of enterprise systems via MCP servers and OpenAPI connectors.

Integration always terminates inside the customer's perimeter, not the vendor's cloud. ibl.ai's role is the orchestration layer and the agent runtime; the actual API calls to your SIS, EHR, or CRM happen from a connector you control, often inside the same VPC as the source system. That's the difference between a sovereign integration and a managed-AI vendor that requires data to traverse a third-party cloud to reach your own systems.

Use this hub to find the integration pattern for your specific stack. Each entry covers the technical pattern (LTI 1.3, REST, MCP, custom connector), the data scope, the auth model (OAuth, SAML, API key, OAuth 2.1 + DPoP for MCP), and the compliance considerations (FERPA, HIPAA, GLBA, SR 11-7) for the relevant industry.

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