Building Production-Ready MCP Servers: From AI Agents to Secure Enterprise APIs.
summary
Prototype MCPs use hard‑coded keys and single-agent demos; production systems replace that with a layered MCP gateway that routes agents to tools, a tool registry with versioning, authN/authZ with service accounts and capability tokens, and a runtime policy engine that enforces capability-based access control. The talk shows concrete defenses—input schemas, idempotent tool design, per-tool rate limits, execution sandboxes, circuit breakers—and insists on structured telemetry and policy decision logs for every tool call.
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chapters (12)
- 0:00Production-ready MCP servers intro
- 1:56Why MCP matters in AI
- 3:24Secure MCP server architecture
- 5:32Production-grade MCP tools
- 7:22Identity and auth in MCP
- 9:08Policy engines for MCP security
- 10:33MCP server threat mitigation
- 11:59MCP observability needs
- 13:02Scaling MCP servers
- 14:47MCP multi-agent concurrency
- 15:08MCP deployment lessons
- 16:14Summary and MCP future
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