New capability arrives as Model Context Protocol joins Linux Foundation, establishing the universal standard for connecting AI agents to enterprise systems
SSOJet, the turnkey enterprise SSO integration platform for B2B SaaS companies, announced full support for Model Context Protocol (MCP) authentication. The announcement comes just days after Anthropic donated MCP to the newly formed Agentic AI Foundation under the Linux Foundation—a milestone that establishes MCP as the industry standard for connecting AI agents to enterprise tools and data. SSOJet’s MCP authentication layer enables B2B SaaS companies to make their products AI-agent ready while leveraging their customers’ existing enterprise identity providers, eliminating the months of engineering work typically required to build secure AI integrations.
The Enterprise SSO Gap in AI Agent Connectivity
As AI agents become central to enterprise workflows, organizations face a critical challenge: MCP provides the protocol for AI-to-tool communication, but lacks native support for enterprise Single Sign-On (SSO) infrastructure. This gap creates significant friction for both B2B SaaS vendors and their enterprise customers.
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Enterprise IT administrators expect AI agent connections to flow through their existing identity providers—whether Okta, Microsoft Entra ID, Google Workspace, or OneLogin—with full visibility and policy control. Without proper SSO integration, AI agent connections become “Shadow IT,” bypassing corporate security policies and creating compliance risks.
For B2B SaaS companies, building MCP authentication in-house typically requires 6-12 weeks of senior engineering time, plus ongoing maintenance as the rapidly evolving specification matures. This diverts critical resources from core product development at precisely the moment when AI readiness is becoming a competitive differentiator.
SSOJet Bridges MCP and Enterprise Identity
SSOJet’s MCP authentication support delivers a complete, spec-compliant authorization server that integrates with enterprise identity infrastructure out of the box. B2B SaaS companies can deploy MCP-ready authentication in days rather than months, enabling their enterprise customers’ AI agents to securely access their products through familiar SSO workflows.
Key capabilities include:
• MCP OAuth 2.1 Compliance: Full implementation of the MCP authorization specification including mandatory PKCE and Resource Indicators (RFC 8707) for secure token handling
• Dynamic Client Registration: Automatic onboarding of MCP clients without manual pre-registration, enabling seamless connections from any compliant AI agent
• Protected Resource Metadata (RFC 9728): Standards-compliant discovery endpoints that enable MCP clients to automatically locate and authenticate with authorization servers
• Universal Enterprise IdP Federation: Pre-built integrations with Okta, Microsoft Entra ID, Google Workspace, OneLogin, and other major identity providers
• Cross App Access (XAA) Support: Implementation of the November 2025 MCP specification extension that puts enterprise identity providers back in control of AI agent permissions
• Machine-to-Machine Token Exchange: Support for headless agent workflows and backend service authentication without user interaction
Why It Matters Now
The Linux Foundation’s formation of the Agentic AI Foundation—with founding contributions from Anthropic, Block, and OpenAI, and support from AWS, Google, Microsoft, Cloudflare, and Bloomberg—signals that MCP has moved from emerging protocol to critical infrastructure. With over 10,000 published MCP servers and adoption by major platforms including GitHub Copilot, Cursor, and Claude, enterprise customers are increasingly expecting their software vendors to support AI agent connectivity.
For B2B SaaS companies, the message is clear: AI readiness is no longer optional for enterprise sales. Security questionnaires now routinely include questions about AI agent support and authentication. Companies without a clear answer risk losing deals to competitors who can demonstrate secure, enterprise-grade AI integration.
SSOJet’s approach treats MCP authentication as infrastructure—the same philosophy that has driven its success in traditional enterprise SSO. Rather than asking B2B SaaS companies to become identity and protocol experts, SSOJet abstracts the complexity of MCP authorization while maintaining full spec compliance and enterprise security standards.
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