MCP training for engineering teams: servers, skills, workflows
MCP (Model Context Protocol) is the open standard that lets AI coding agents call external tools such as databases, ticket systems, and deploy pipelines through MCP servers. That reach widens the blast radius fast: one prompt can touch production, so AI integration safety depends on tight tool permissions and a short list of approved servers. Our MCP training shows teams how to vet each server and keep workflow integration reviewable before anyone wires it in.
Integrations need ownership
MCP servers and skills make agents more capable, but also increase blast radius. Teams need a small number of approved integrations, clear permissions, and reviewable examples before they connect AI coding tools to internal systems.
What belongs in a skill
Good skills encode stable team knowledge: API patterns, release workflows, test conventions, domain language, and known failure modes. They should not become secret stores or vague instruction dumps.
How to roll it out
We start with one or two high-frequency workflows, prove they reduce rework, then expand only where usage data and engineer feedback show repeatable value.
Official references
Current product documentation we use when shaping this training topic.
Selected research
Representative field notes connected to this topic.
Codex CLI 0.132.0: workflows and integrations
Codex CLI 0.132.0 tightens AGENTS.md, MCP, and verification loops for reviewable diffs.
Codex-auto-review: what it catches and misses
Codex-auto-review trials showed Codex catching syntax drift and missing permission drift. The fix is transcript evidence and repo contracts, not more autonomy.
Codex-cli 0.130.0: workflows that survive the update
What codex-cli 0.130.0 means for production repos: the AGENTS.md boundaries, MCP permissions, and review receipts that hold across any Codex CLI release.
Codex CLI 0.121.0 for repo workflows
Codex CLI 0.121.0 repo workflows: named connector owners, a pinned model in AGENTS.md, and PR receipts that survive reviewer handoffs.
Codex CLI workspace tools that make runs reviewable
Codex CLI workspace tools that carry the operating contract: model pin, connector roster, done checklist, and slash catalog for reviewable agent runs.
Codex CLI /goal workflows with AGENTS.md
A practical Codex CLI /goal workflow guide: persistent goals carry intent, AGENTS.md carries boundaries, and receipts carry proof across handoffs.
Related training topics
Bring this into your team
We tailor the training to your codebase, adoption stage, and review standards.
Book a 15-minute sync