Hooks aren’t optional.
Claude Code’s extension game splits into three: Hooks, MCP, Skills. They stack like an onion—peel wrong, and you’re crying. Bottom: Hooks, the rigid lifecycle enforcers. Middle: MCP, your protocol to the outside world. Top: Skills, the clever workflows. This isn’t random; it’s architecture mimicking how codebases evolve from scripts to systems.
And here’s the kicker—Anthropic’s quietly building composability that echoes Unix pipes from the ’70s. Hooks pipe events, MCP adds tools, Skills sequence it all. Prediction: this lets indie devs rival enterprise AI agents by 2025.
Hooks: The Iron Rules
Hooks fire on lifecycle events—think pre-prompt, post-response, always-on automation. They’re “what must happen,” no ifs. Want to log every interaction? Hook it. Sanitize inputs automatically? Hook again. No choice; they run every time.
But they’re brittle. Override one wrongly, and your whole flow breaks. Claude Code forces this layer low for a reason: reliability over flexibility.
Hooks (bottom layer): Lifecycle event automation — “what must always happen”
That’s straight from the source. Punchy truth.
Why Bother with MCP in Claude Code?
MCP sits middle, an open protocol for external tools. Need GitHub access? MCP. Database query? MCP calls it. It’s “what can be done,” declarative connections without baking logic in.
Picture this: you’re building a code reviewer. Hook logs the request. MCP fetches the repo via protocol. Clean separation—no monolith.
Yet, MCP demands you grok the protocol. It’s JSON-RPC-ish, stateful sessions. Miss a handshake? Dead connection. Anthropic spins it as “secure,” but it’s really about vendor lock-in avoidance—smart, if you’re skeptical of their cloud.
Skills crown it. Reusable workflows, domain smarts: “how to do things well.” Chain MCP calls into a recipe—review code, suggest fixes, commit via Git. Like LangChain but native, baked for Claude.
Skills shine in repetition. Train one for React debugging; reuse everywhere. But they’re heavyweight—define inputs, outputs, tests. Overkill for one-offs.
Hooks vs MCP vs Skills: Head-to-Head
Eight dimensions? Let’s boil to four that bite.
Scope: Hooks: global events. MCP: tool bridges. Skills: task orchestrations.
Flexibility: Hooks: zero (always runs). MCP: high (any tool). Skills: medium (reusable but rigid).
Complexity: Hooks: trivial. MCP: protocol savvy needed. Skills: full workflow dev.
Debugging: Hooks: trace events. MCP: network logs. Skills: step-through simulator.
Same task—auto-format code on save.
Hooks way: Post-response hook runs blackbox formatter. Dumb, reliable.
MCP way: Connect to prettier server via MCP endpoint. Fetch file, format, push back. Scalable, external.
Skills way: Workflow: parse AST via MCP-langserver, apply rules, validate. Pro-level, context-aware.
Hooks win speed. Skills win smarts.
The Traps Everyone Falls Into
Mix ‘em wrong. Devs shove everything into Skills—bloat. Others MCP everything, drowning in endpoints. Hooks? Ignored, leading to flaky runs.
My insight: this stack predicts modular AI dev. Like Docker layers (base image, runtime, app), it scales from hobby to prod. But Anthropic’s docs gloss the interdependencies—PR spin? Nah, just lazy.
Decision tree: Always? Hooks. External data? MCP. Repeatable smarts? Skills. Prototype? Start Hooks, layer up.
Can Skills Replace Custom Code Entirely?
No. Skills abstract too much for edge cases. They’re for 80% paths; devolve to raw prompts below.
Real-world: I mocked a CI integrator. Hooks triggered on build-fail. MCP hit Jenkins. Skills parsed logs, suggested fixes. Took 2 hours—vs days in raw Claude.
But scale hits walls. Skills cache poorly on huge contexts. MCP flakes on auth. Hooks? Rock-solid, if simplistic.
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Frequently Asked Questions**
What are Hooks in Claude Code?
Hooks automate lifecycle events like pre-prompt or post-response—always-on, no exceptions.
MCP vs Skills: which for tool integration?
MCP for raw external connections (open protocol). Skills for wrapping them into workflows.
When to use Hooks over everything else?
For mandatory, universal actions—logging, validation—that can’t fail.
