Case Study: Spydr achieves secure scoped AI memory with Stytch

How Spydr Used Stytch to Power their MCP Server

Spydr, a company building a Universal Context Layer for AI, needed a secure way to power its Model Context Protocol (MCP) server with per-user memory access. After struggling with a fragile in-house OAuth setup, the team needed an authentication system that could handle scoped access, token management, and new integrations without slowing product development. Stytch provided the identity and access layer they were looking for.

Using Stytch’s dynamic OAuth client registration, machine-to-machine tokens, and token introspection APIs, Spydr replaced its homegrown auth stack with a secure, scalable solution in an afternoon. Stytch enabled isolated, user-specific access for each AI agent, helping Spydr launch one of the first MCP-compliant servers with no memory bleed or shared-secret risk, while moving faster and more securely.

Spydr

Farouk Adeleke

Co-founder