Case Study: Smithery AI streamlines MCP server management with WorkOS

Smithery AI manages MCP servers with WorkOS and keeps tokens ephemeral

Smithery AI, a registry and management platform for Model Context Protocol (MCP) servers, needed a way to help its users securely discover, install, and manage both local and hosted MCP servers. The challenge was to provide a central hub for these servers while ensuring the secure handling of sensitive user tokens and configuration data.

WorkOS provided the infrastructure through which Smithery AI offers its solution. The platform allows users to install servers locally, keeping tokens on their own machines, or use hosted servers on Smithery's infrastructure with an ephemeral token policy that claims to not store sensitive data long-term. This solution from WorkOS enabled Smithery AI to provide a secure and streamlined management hub, resulting in a trusted platform that handles usage analytics without compromising the security of user tokens.

Smithery AI