MCP Gateway for Higher Education

​As AI tools and LLMs enter classrooms, research labs, and administrative systems, universities face a new challenge: how to manage access, security, and costs across hundreds of AI services.

​The Model Context Protocol (MCP) is quickly emerging as a standard for connecting AI systems and tools securely, but bringing it into production requires strong governance, interoperability, and observability.

​Join this webinar to learn how the MCP Gateway simplifies AI adoption for higher education institutions. We’ll cover how campuses can connect multiple AI models and MCP tools through a single, secure gateway, while maintaining full control over authentication, compliance, and usage visibility.

​In this session, you’ll learn how to:

• ​Streamline AI access: Connect any MCP server or tool to 1,600+ AI models without custom integrations.

• ​Enhance governance and security: Manage authentication, permissions, and policies centrally.

• ​Enable research and innovation: Support diverse academic projects with flexible, model-agnostic infrastructure.

• ​Optimize institutional AI spend: Monitor usage, set budgets, and reduce redundancy across departments.

​Who should attend:

​CIOs, CISOs, IT directors, researchers, and academic technology leaders responsible for AI enablement and governance on campus.