AI Server Authentication Test
Covers login flows, session handling, JWTs, OAuth, MFA, role-based access control, negative cases, and how AI agents help generate security-focused test suites. Authentication and authorization bugs are among the highest-risk defects in modern applications. Model Context Protocol (MCP) allows AI models to access business data through secure APIs. In order for the MCP Inspector to connect to your MCP server you can either do static client registration (recommended) or Dynamic Client Registration (DCR). Perfect for local development, testing, and CI pipelines, it provides fully configurable endpoints for authorize, token, and userinfo flows. As AI agents become a core part of modern development workflows, the need for secure. Connectors are OpenAI-maintained MCP wrappers for popular services like Google Workspace or Dropbox, like the connectors available in ChatGPT.
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