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Generation of model content through a client to isolate API keys from the server.
Distinct from Model Context Protocol Security: Focuses on the architectural flow of routing generation through a client for key security, not just protocol security.
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Model Context Protocol is a standardized framework for connecting large language models to external data sources and executable tools. It enables the creation of a universal interface where servers expose tools, resources, and prompts that can be discovered and utilized by various AI clients. The protocol utilizes a JSON-RPC message system that is transport-agnostic, supporting both standard input/output for local processes and HTTP with server-sent events for remote connections. It emphasizes security and control by delegating model sampling to the client to keep API keys secure from servers
Generates content via a client to ensure API keys remain secure and are not exposed to servers.