In a world where AI assistants and agents increasingly interact with external services through standardized protocols, securing communication between an AI client and its backend servers is an important aspect. The Model Context Protocol (MCP) standardizes how an AI assistant discovers and invokes tools exposed by remote servers in order to enrich the communication context, yet concerns such as authentication or authorization are by all means responsibilities of the application developer.
This article explores how the Chain of Responsibility design pattern can be applied to elegantly solve the problem of resolving the destination server, then securing MCP client-to-server communication. First, we will walk through the motivation, the pattern itself, the problems it addresses, and why it appears to be a natural fit for the particular experimental use case. Then, a concrete implementation is analyzed in detail.
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