AI workflows often stop at the authorization layer. Most organizations can’t hand agents long-lived tokens or service accounts, and without user-level authentication, agents can’t perform real work inside governed systems. This new feature in the xpander.ai platform adds a full end-to-end OAuth2 flow to Remote MCPs (SaaS providers that are hosting MCP servers for their service), giving agents a clean, compliant way to authorize end-users in real time.
User-level access, not headless integration
When an agent needs access to platforms like Salesforce, GitHub, or internal APIs the MCP session triggers a secure OAuth2 consent flow. The interaction pauses, the user authenticates, and the agent resumes with a scoped, policy-enforced token.
Access is tied to the user’s identity, permissions, and MFA requirements. No shared credentials, no security workarounds.
Controlled, auditable behavior
Every action the agent takes maps back to an authenticated user, aligning with enterprise audit and compliance expectations. Target systems continue to enforce their own RBAC and permission models, so agents operate strictly within allowed boundaries.
This reduces risk surface while enabling meaningful automation inside systems that traditionally block AI access.
Standardized authorization across systems
The same OAuth2 pattern works across cloud SaaS, internal services, and legacy tools behind identity providers. Teams don’t need custom token brokers or per-system security plumbing- MCP handles the flow consistently across all agent interfaces (IDEs, assistants, internal apps) for any OAuth2-supported system.
Where enterprises see value
AI assistants that need user-specific reads/writes without breaking governance boundaries.
Internal automation that must comply with strict access controls and audit expectations.
Platform teams standardizing how agents authenticate across dozens of systems.
This update gives you a secure, standardized path for letting AI agents operate inside your real systems - without compromising identity, governance, or control.
