SSOJet emerges as a bridge between the Model Context Protocol revolution and enterprise identity infrastructure

The Model Context Protocol has taken the AI industry by storm. In just twelve months since Anthropic open-sourced the standard, MCP has become the universal language for connecting AI agents to enterprise tools—adopted by OpenAI, Google, Microsoft, and now governed by the Linux Foundation. But as enterprises race to deploy AI agents that can interact with their Slack workspaces, GitHub repositories, and Salesforce instances, a critical gap has emerged: authentication.

This week, SSOJet announced support for MCP authentication, positioning itself as the enterprise SSO bridge that enables B2B SaaS companies to deploy AI-ready authentication infrastructure in days rather than months. The announcement comes just two days after the Linux Foundation formally established the Agentic AI Foundation, with MCP as its flagship project.

The Authentication Gap Nobody Saw Coming

When enterprises evaluate MCP adoption, they immediately hit a familiar but vexing challenge: their existing identity infrastructure doesn’t understand AI agent connections.

Consider a typical scenario: An employee uses Claude Desktop to connect to their company’s Slack workspace via MCP. The enterprise identity provider (Okta, Azure AD, or similar) sees the user authenticate to Slack—but has no visibility into the AI agent connection being established. From the IdP’s perspective, it’s invisible. This creates what security professionals call Shadow IT—connections that bypass enterprise policy and audit controls.

“Enterprise MCP deployments must integrate with existing identity providers—unfortunately, the current standard lacks native single sign-on support. Organizations will either need to build an SSO solution in-house or seek an SSO provider able to bridge the gap.”

— Industry security analysis, Dec 2025

Building this capability in-house isn’t trivial. The MCP authorization specification has evolved rapidly through 2025, with major revisions in March, June, and November adding OAuth 2.1 support, Cross App Access protocols, and machine-to-machine authentication flows. Most engineering teams estimate 6-12 weeks of dedicated development to implement spec-compliant MCP authentication—time that diverts resources from core product development.

Bridging Protocols to Enterprise Reality

SSOJet’s approach positions the company as infrastructure rather than feature—abstracting the complexity of MCP’s evolving authorization specification while maintaining full compliance with enterprise security requirements.

The platform now supports the complete MCP authentication stack: OAuth 2.1 with PKCE, Dynamic Client Registration for automatic client onboarding, Protected Resource Metadata discovery (RFC 9728), and the Cross App Access protocol that gives enterprise IdPs visibility into agent-to-application connections.

For enterprises, the value proposition centers on control and visibility. When an AI agent requests access to a connected service, the authentication flow routes through the organization’s existing identity provider. Security teams can apply the same policies they use for human users—conditional access, step-up authentication, session management—to AI agent connections.

“B2B SaaS companies are getting the same question from every enterprise prospect: ‘How does your AI integration work with our SSO?’ Until now, the honest answer was ‘it doesn’t, really.’ That’s no longer acceptable when deals depend on security questionnaire responses.”

— SSOJet

Why Timing Matters

The Linux Foundation’s December 9th announcement establishing the Agentic AI Foundation signals that MCP has crossed from emerging standard to critical infrastructure. With Anthropic, OpenAI, Block, Google, Microsoft, AWS, Cloudflare, and Bloomberg as founding members, the protocol now has the governance structure and industry backing that enterprises require before making infrastructure investments.

The numbers tell the story of MCP’s explosive growth: over 97 million monthly SDK downloads, more than 10,000 published MCP servers, and native support in every major AI development environment from Claude Desktop to VS Code to ChatGPT. Security research firm Pynt estimates that deploying ten MCP plugins creates a 92% probability of exploitation without proper authentication controls—a statistic that focuses enterprise security teams’ attention.

For B2B SaaS companies, MCP readiness is rapidly becoming a competitive requirement. Enterprise customers increasingly expect their software vendors to support AI agent connectivity, and those conversations inevitably turn to authentication. Companies that can demonstrate compliant SSO integration have a tangible advantage in enterprise sales cycles where security questionnaires gate procurement decisions.

A Crowded Field, Different Approaches

SSOJet enters an authentication market that has seen significant MCP-related activity in 2025. Auth0 launched its “Auth0 for AI Agents” product and published an MCP Server for identity management. WorkOS introduced AuthKit for MCP with full OAuth 2.1 support. Stytch released Connected Apps with Dynamic Client Registration. Descope unveiled its Agentic Identity Hub with MCP SDKs.

What differentiates SSOJet, according to the company, is its pricing model and B2B focus. While competitors often charge per-user fees that scale with customer growth, SSOJet uses connection-based pricing that doesn’t penalize companies as their customer base expands. For B2B SaaS companies whose enterprise customers may have thousands of users, this distinction can significantly impact unit economics.

The company also emphasizes its positioning as turnkey infrastructure rather than a feature requiring significant implementation work. Pre-built integrations with major identity providers—Okta, Azure AD, Google Workspace, OneLogin—aim to reduce deployment timelines from weeks to days.

The Bigger Picture

The emergence of dedicated MCP authentication solutions reflects a broader pattern in enterprise AI adoption: as experimental technology matures into production infrastructure, the supporting ecosystem must mature alongside it.

MCP solved the integration problem—giving AI agents a standard way to connect to tools and data. But integration without authentication is, from an enterprise perspective, integration without control. The next phase of MCP adoption will be defined by how well the ecosystem addresses security, governance, and compliance requirements that enterprises cannot compromise on.

For B2B SaaS companies navigating this transition, the strategic question is no longer whether to support AI agent connectivity, but how quickly they can do so without building authentication infrastructure from scratch. Solutions like SSOJet’s MCP bridge represent one path forward—trading engineering time for time-to-market in a space where being AI-ready increasingly determines which deals close.

Availability

SSOJet’s MCP authentication support is available immediately for Business and Enterprise plan customers. The company offers a free trial for qualified B2B SaaS companies evaluating enterprise SSO requirements. More information is available at ssojet.com.