Claude Skills vs MCP for LinkedIn

A Claude Skill teaches Claude how to do something. An MCP server lets Claude actually do it. That is the whole distinction, and it explains why two LinkedIn products can have near-identical marketing pages while doing completely different things.

It is worth getting straight before you buy, because one of them cannot publish a post and the pages do not always make that obvious.

What each one actually is

A Skill is instructions. A folder containing guidance — and optionally scripts — that Claude loads when it recognises a relevant task. It might tell Claude how to structure a LinkedIn hook, what makes a carousel work, which openings to avoid. Once loaded, Claude behaves differently: better informed, more consistent, working from a method rather than improvising.

What a Skill has no access to is the outside world. It cannot authenticate to a service, cannot call an API, and cannot reach your LinkedIn account. It changes Claude’s behaviour.

An MCP server is a connection. A service that exposes a set of actions Claude can call — save a draft, generate a carousel, schedule a post, publish now — and which holds the authorisation to do them. It changes Claude’s reach.

The clean way to hold it: a Skill makes Claude better at writing the post. An MCP server puts the post on LinkedIn.

Why this gets confusing

Both are sold as “LinkedIn for Claude”, and at a glance the pages look alike. Both promise better LinkedIn content. Both involve a setup step.

But the setup steps differ in one decisive way, and it is the fastest test:

• A connector’s setup includes signing in. You authorise something. There is a permission screen.
• A Skill’s setup does not. You copy files, or paste instructions. Nothing is granted, because there is nothing to grant.

No login, no integration. If you were expecting your post to end up scheduled and the setup never asked you to authorise anything, it was never going to.

This is not usually anyone being deceptive — the categories are genuinely new and the vocabulary has not settled. But the practical consequence is real: with a Skill you are still copying and pasting into LinkedIn at the end, and if that is the friction you were trying to remove, you have not removed it.

Why so many LinkedIn tools ship Skills

The economics are lopsided, and understanding them tells you something about what you are buying.

A Skill is text in a folder. Writing seventeen of them is a productive week for one person. There is no infrastructure, no uptime obligation, nothing to maintain when a token expires at 2am.

An MCP server is a product. You need a hosted service, OAuth with token refresh, per-tool permissions, error handling, and an approved integration with LinkedIn’s official API — which requires being accepted into LinkedIn’s developer programme in the first place. Then you keep it running.

So a company can ship a large library of Skills quickly and have an impressive-looking page, without ever building the integration. That is a legitimate product. It is just not the same product, and the difference shows up the first time you want something published.

Which do you need?

If the friction is writing quality, a Skill helps. You are already happy to copy the post over; you just want Claude to be better at producing it. A well-written Skill is a durable improvement, and better than retyping the same guidance in every new chat.

If the friction is the whole loop — decide, draft, illustrate, schedule — you need a connector. That is a capability question and no amount of instruction closes it.

Most people want both, and they compose fine. Use a Skill to shape how Claude thinks about the post, and a connector to publish the result. They operate at different layers.

The third thing, which is neither

Worth flagging because it sits in the same search results: some “LinkedIn MCP servers” are neither a Skill nor a legitimate connector. They are scrapers that ask you to paste your LinkedIn session cookie so they can drive your logged-in account.

Those do have reach, and they do work, and they are the ones LinkedIn restricts accounts for. The test is the same one as above but inverted: if setup involves your browser’s developer tools rather than a login page, you are in a different category again. LinkedIn MCP servers compared goes through all four kinds.

What WordPush does

WordPush is an MCP server, hosted, OAuth only, publishing through LinkedIn’s official API.

Claude connects to it, and can then read your brand context, have WordPush draft in the voice built from your onboarding interview, generate an image or a native document carousel, and schedule or publish to your profile or company page. Nine tools, separately permissioned — the tool reference lists each one and what it costs.

There is a deliberate design choice in there worth naming, because it is the bit that overlaps with what Skills are for: the drafting does not happen in Claude. write_post hands generation to WordPush’s own voice model rather than the assistant, so the post sounds like your other posts rather than like Claude. Claude supplies the thinking and the judgement; the voice comes from somewhere persistent.

That is effectively the job a writing Skill does, solved at the other end — and it does not reset when you start a new conversation.

In one line

Skills change how Claude writes. MCP changes what Claude can reach. If you want the post published rather than pasted, you need the second one, and the way to check which you are being sold is to look for a login.

Set up the WordPush connector: Claude, ChatGPT, Claude Code, Cursor. Or start with what is MCP.