Claude Skills vs MCP: What Each Does and When to Use Both
Claude skills and MCP solve different problems. A skill teaches Claude how to do a task: a folder of instructions it loads when your request matches. MCP (Model Context Protocol) connects Claude to outside tools and data: a server it can call to read or check something. Skills are know-how, MCP is access, and the best setups use both.
What is a Claude skill?
A skill is a folder with a SKILL.md file: a name, a description of when to use it, and step-by-step instructions, plus optional reference files and scripts. Claude reads only the names and descriptions at first. When a request matches one, it loads that skill’s full instructions, and reference files only when a step needs them. That’s why you can install many skills without filling the chat.
Skills are good at method: how to write a Threads batch, which checks to run before publishing, how a carousel is structured. If skills are new to you, start with what Claude skills are, then how to create a Claude skill.
What is MCP?
MCP is an open standard for connecting AI apps to outside systems. An MCP server exposes tools, and the AI calls them while it works: search a database, read a file from your account, check a draft, create a calendar event. Claude and ChatGPT both support it, and so do code editors, which makes it the one way to plug the same tool into several apps.
An MCP server doesn’t teach the model how to do your job well. It gives it something to act on.
Claude skills vs MCP: what’s the difference?
| Claude skill | MCP server | |
|---|---|---|
| What it is | Instructions in a folder (SKILL.md) |
A server the AI calls over a standard protocol |
| What it gives Claude | Know-how: steps, rules, examples | Access: tools, data, actions |
| Where it runs | Inside Claude; scripts need code execution | On the server, outside the chat |
| Works in ChatGPT | No, skills are a Claude format | Yes, as a connector |
| How updates reach you | You install the new version | The server changes and you get it on the next call |
| Can it count or check exactly | Only with code execution turned on | Yes, the server does the math |
| Can it remember across chats | No | Yes, if the server stores data for you |
| Setup | Upload a zip, or a folder in Claude Code | Paste a URL and sign in, or add a key |
When should you use a skill?
Use a skill when the problem is quality of method, and everything Claude needs is already in the chat:
- A repeatable writing process, like a weekly content calendar or a YouTube script.
- House rules you want applied every time: banned phrases, formats, length limits.
- Work you only do in Claude Code or offline.
How to install Agent Skills in Claude covers the setup on the web and in Claude Code.
When should you use MCP?
Use MCP when Claude needs something that isn’t in the chat, or needs to work the same way across apps:
- Data that lives elsewhere: your files, a CRM, analytics, a store.
- Exact checks: a model estimates character counts; a tool counts them.
- Memory across chats: a brand file saved once and read in every new chat.
- More than one app: the same tools in Claude and ChatGPT.
Why use skills and MCP together?
Because each covers the other’s gap. A skill without tools has to guess at counts and can’t read your saved files. A tool without a method gets called at the wrong time, with the wrong inputs.
The strongest pattern is a method delivered through MCP: the server hands Claude the instructions for a task when the request matches, and the same server provides the tools those instructions call. That’s how the Nexin connector works. Each module is one of its tools, and each tool runs jobs that return the method for a task, served only for the modules you own; brand reads your saved brand files; check counts characters the way each platform does before you post. Because it’s MCP, the same tools and jobs run in ChatGPT, which has no skills format of its own.
Does MCP replace skill files?
Not for everyone. Skill files still suit offline work and teams that want to edit the instructions themselves. If the same method is installed as a skill and also served by a connector, Claude may see it twice, so pick one. For creators writing content in Claude.ai or ChatGPT, a connector is less setup and stays current.
FAQ
Is MCP made by Anthropic?
Anthropic introduced MCP as an open standard, and other AI companies and apps have adopted it. It isn’t specific to Claude.
Can a skill call an MCP tool?
Yes. A skill’s instructions can tell Claude to use a tool when a step needs it, as long as that MCP server is connected in the same chat.
Are skills safer than MCP servers?
Each has its own risks. Install skills only from sources you trust, since their instructions shape what Claude does, and connect only MCP servers you trust, since they receive what Claude sends them.
Do I need to code to use either?
No. Installing a skill is an upload, and connecting an MCP server is pasting a URL and signing in. Writing your own server takes code; writing your own skill doesn’t.
Which one should a content creator start with?
Start with whichever works in the apps you use. If you write in both Claude and ChatGPT, or want your brand remembered across chats, a connector covers more.
Know-how and tools in one connector. Nexin’s tools for Threads, Instagram and every other channel run in Claude and ChatGPT through one MCP connector. It saves your brand files and checks each post against the platform’s limits. Nexin writes; it doesn’t post or schedule. Start with Core or see pricing.