Wiring MCP Servers Into Claude Agents the Right Way (Product Development Agentic Era)
Production guide to connecting MCP servers to Claude: auth at the tool boundary, model-friendly schemas, idempotency, and graceful error handling.
Agentic AI, LLM engineering, and the models behind modern automation — multi-agent systems, LLM evaluation and comparisons, RAG, fine-tuning, AI infrastructure, security, and production AI engineering.
From the blog
Production guide to connecting MCP servers to Claude: auth at the tool boundary, model-friendly schemas, idempotency, and graceful error handling.
Connect MCP servers to Claude the right way: OAuth, closed schemas, error-as-data recovery, and idempotency keys so your integrations survive production.
Reusable patterns for Claude agents: layered prompts, typed tool contracts, just-in-time context with Skills, plan-then-act, and structured handoffs.
Code-level patterns for structuring Claude agents: frozen prompts, prescriptive tools, programmatic tool calling, and context lifecycle. Build reliable agents.
A hands-on walkthrough: define tools, build the loop, handle failures and idempotency, and ship a Claude agent behind an eval gate.
A step-by-step guide to building a working Claude agent with tool use, the agentic loop, and structured outputs you can ship today. Code included.
The full stack of an agentic product on Claude: model loop, context assembler, tool layer, MCP servers, state separation, and guardrails.
How the Claude API skill wires models, tools, MCP servers, and the agentic loop into one system across developer tools. A deep architectural walkthrough.
A practical engineering deep dive into Claude Code 2.1 Toronto, covering architecture, tradeoffs, and what production teams need to know about Canadian startups.