Compare · Skills vs MCP

Claude Skills vs MCP vs Hexa workflows.

Every explainer stops at "Skills are know-how, MCP is access." Both are true, and both are on the same side of the line: they help the model reason and reach. Neither governs what the AI is allowed to do in your real systems, or proves what it did. That is a Hexa workflow.

The one-paragraph version

A Skill is a reusable bundle of instructions and context the model loads to do a task better. It lives in the client, holds no credentials, gates nothing, leaves no audit trail. An MCP server gives the model access to a tool's API. A Hexa workflow is a resolved, auditable action sequence: it picks the right capabilities and knowledge, runs each step under your org's allow / ask / deny policy, holds credentials in custody, and records every resolution, approval, and execution. Skills make the model smarter; workflows are the governed runtime that lets it act.

  Claude Skill MCP server Hexa workflow
What it is Reusable instructions / context Access to a tool's API Governed action sequence
What it affects How the AI reasons What the AI can reach What the AI may do, and proves it
Credentials None You host and hold them Server-side custody, per person
Approval gate None None Org-wide allow / ask / deny
Audit trail None None Full timeline
Works for tools with no MCP server n/a Build one first AI authors it, no server
Shared across a team, keyed per person Scattered config Per-machine config Shared once, run as yourself

Why the distinction matters

You can have every Skill in the world and still not be able to safely push a record to your CRM or send an email on your behalf, twice, as a second teammate. That gap is exactly what a Hexa workflow fills. They are complementary layers: keep your Skills, keep your MCP servers, and let Hexa be the governed runtime that turns "the AI could act" into "the AI does exactly what your policy permits, and you can prove it."

Give your AI governed action.

Connect a tool and run a workflow under your own policy. Free to start.