Wiring MCP Servers into Claude Code GTM Workflows
Connect MCP servers to Claude Code GTM workflows the right way: scoped auth, typed schemas, retryable error handling, and idempotent writes.
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
Connect MCP servers to Claude Code GTM workflows the right way: scoped auth, typed schemas, retryable error handling, and idempotent writes.
Code-level patterns for Claude Code GTM workflows: typed-contract prompts, narrow tools, layered context, gated writes, and tiered models.
Reusable Claude Cowork patterns: one skill per responsibility, narrow tools, small structured outputs, know-how in skills, and self-verifying agent loops.
Step-by-step Claude Cowork tutorial: define done, wire connectors, write a triage skill, read the trace, add a safety gate, and ship a reliable automation.
A follow-along guide to building a nightly Claude Code lead-enrichment workflow: scaffold, wire CRM tools, score, guardrail, and ship safely.
Inside Claude Cowork's internals — the orchestration loop, context assembly, skills, MCP connectors, and sub-agents that run real knowledge work end to end.
How a Claude Code GTM system fits together end to end: orchestrator, subagents, MCP tool plane, validated data plane, and reproducible state.
The trajectory of agentic engineering on Claude — longer autonomy, richer context, agent fleets, MCP everywhere — and how to prepare your org for what's next.
Where Agent Skills, MCP, and multi-agent systems on Claude are heading in 2026 and beyond, and the low-regret ways to prepare your stack now.
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