Skill or MCP? The Differences and How to Choose

When you want to "augment" an AI, you'll quickly run into two words: Skill and MCP. Both make AI more capable, but they work in completely different ways — and picking the wrong one wastes time.

One Sentence Each

• 🎓 Skill: teaches the AI a way to do something — how to make slides, review code, or write a status report. It's essentially a structured instruction document (usually SKILL.md), copy-and-use, no network or account keys needed.
• 🔌 MCP: connects the AI to an external tool or data source — GitHub, a database, Figma. It usually runs a server, goes online, and requires a key.

Key Differences at a Glance

When a Skill Fits

When the problem is "the AI can do it once it knows the method": applying a writing style, reviewing code by a fixed process, generating spec-compliant documents. Skills are light, fast, and safe — they don't touch your system; just copy the prompt.

If nothing fits, this site's Create mode can generate a private SKILL.md from your description, visible only to you. You can also browse all skills.

When MCP Fits

When the problem requires the AI to actually reach real data or systems: querying your own database, operating your GitHub repo, reading live web pages. Prompts alone can't do this — it must connect to the outside world via MCP.

The trade-off: it's heavier (you install a server) and demands more care (permissions and keys). Browse all MCP tools.

How to Choose: A Simple Checklist

1. Does the AI need access to external, live data or systems? Yes → MCP; No → Skill.
2. Is this a "method problem" or a "connection problem"? Method → Skill; Connection → MCP.
3. Are you willing to configure keys and accept permission risk? If not, and a Skill can do it → prefer Skill.
4. Do you want zero-config, instant use? Yes → a Skill has the lower barrier.

They Combine

Skill and MCP aren't either/or. A common powerful combo: use MCP to connect the AI to your database, then a Skill to teach it "analyze this data by our team's conventions and write it up as a report." One handles "connection," the other handles "method."

Summary

Remember the simplest rule: use a Skill for "method," use MCP for "connection." Skills are light and safe; MCP is powerful but needs care. When unsure which category a tool is in, whether it needs keys, or how risky it is, check the type tag and security review on each asset page.

Further reading: What Is MCP and How to Choose and Install MCP Tools Safely.