Secure MCP Auth With LoginRadius
The Agentic World is moving beyond simple chatbots toward AI agents that can take real actions - booking flights, writing code, and querying internal systems.
But as organizations connect more models to more tools and data sources, developers run into the “NxM problem,” where every new model requires custom integrations with every internal and external system.
The Model Context Protocol (MCP) addresses this by acting as a universal interface, allowing teams to build a connector once and reuse it across AI models.
However, while MCP simplifies connectivity, it does not solve security. Giving AI agents access to files, databases, and internal tools introduces serious risk without strong identity and access controls.
This whitepaper explains how MCP works, where the security gaps emerge, and how to address them with a robust identity layer, including how LoginRadius Auth for MCP helps ensure AI agents can interact with systems safely and securely.
Download the whitepaper for free to learn more!
But as organizations connect more models to more tools and data sources, developers run into the “NxM problem,” where every new model requires custom integrations with every internal and external system.
The Model Context Protocol (MCP) addresses this by acting as a universal interface, allowing teams to build a connector once and reuse it across AI models.
However, while MCP simplifies connectivity, it does not solve security. Giving AI agents access to files, databases, and internal tools introduces serious risk without strong identity and access controls.
This whitepaper explains how MCP works, where the security gaps emerge, and how to address them with a robust identity layer, including how LoginRadius Auth for MCP helps ensure AI agents can interact with systems safely and securely.
Download the whitepaper for free to learn more!