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Design a production MCP server that scales and stays safe: stateless request handling, OAuth and per-tool authorization, tenant-safe caching, observability, resilient downstream calls, and a practical rollout checklist.
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Connect an MCP server to an AI app, discover its tools, and route the model’s tool requests safely. See the client loop, local vs. remote transports, and where your app still needs to make decisions.
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MCP and function calling solve different parts of the AI tool puzzle. See how model-issued tool calls differ from a reusable protocol—and how the two work together in one application.
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