Skills vs MCP: What Each Does and Why Your AI Needs Both

MCP, the Model Context Protocol, connects AI to your tools and data, such as a CRM, a drive or a database. A skill teaches AI how to do a specific job with that data, such as writing a report in your format. MCP is the connection; a skill is the method. Useful business AI needs both, plus accurate company facts.

What is the difference between skills and MCP?

MCP gives AI access to things: the files, records and tools it needs to read or act on. A skill gives AI know-how: the steps, checks and examples for doing a particular job well. One answers "what can the AI reach?"; the other answers "how should it do this task?". They solve different problems and work together.

According to Anthropic's own explainer, the difference fits in one line: "MCP connects Claude to data; Skills teach Claude what to do with that data." It recommends using both, MCP for connectivity and skills for procedural knowledge.

What does MCP do?

MCP is an open standard that lets AI assistants connect to external data sources and tools through a common interface. Instead of building a custom integration for every pairing of AI and system, a tool offers an MCP server and any compatible assistant can use it, with the permissions it is given.

Anthropic introduced the Model Context Protocol in November 2024. According to its announcement, the problem MCP solves is this: "Every new data source requires its own custom implementation, making truly connected systems difficult to scale."

For a business, MCP is how an assistant reads a CRM, a shared drive or a project tool without someone pasting data in. Permissions matter: connections should start read only. The guide to what MCP is explains it in more depth.

What does a skill do?

A skill packages the method for a job so AI follows it consistently. It is a folder with a SKILL.md file holding a name, a short description and instructions, plus optional examples, templates and scripts. AI loads a skill only when a request matches it, then follows the steps inside.

According to Anthropic's announcement of October 2025, skills are "folders that include instructions, scripts, and resources that Claude can load when needed". In December 2025 Anthropic published Agent Skills as an open standard, so the format can travel to other tools that adopt it.

A skill is where your best person's way of doing a job lives. Without it, an assistant connected to your CRM still writes the report the way an average assistant would. The guide to what Claude Skills are covers them in full.

Why does business AI need both skills and MCP?

Because a useful task needs both access and method. A weekly report needs the figures, which MCP provides, and the way your business presents them, which a skill provides. Connection without method produces accurate data in a generic shape; method without connection produces a well-shaped report built on pasted or invented numbers.

Picture asking an assistant for the weekly pipeline report. Given only MCP, it reads the CRM and writes a reasonable but generic summary. Given only a skill, it knows exactly how the report should look but has no data unless someone supplies it. With both, it pulls the real figures and produces the report the way your best account manager would.

Where do company facts fit alongside skills and MCP?

Company facts, such as product capabilities, approved claims, pricing rules, the ideal customer and the brand voice, sit in a third place: a shared knowledge layer that skills read and that MCP can expose. Keeping them separate from both means facts are maintained once and used by every skill and every connection.

Skills hold methods, which change slowly. Facts change faster: prices move, products launch, objections shift. If facts are buried inside skills, every skill needs editing when a price changes. In a shared layer, they are updated once. That layer is what a company brain holds.

Skein builds all three, connections, skills and the company brain, into a Company OS; the skill library shows the range of skills available. That suits a team ready to connect AI to its systems and standardise how work is done. Someone using AI only in a chat window may not need MCP yet.

Frequently asked questions

What is the difference between Claude Skills and MCP?

MCP, the Model Context Protocol, connects Claude to data and tools such as a CRM or drive. A skill teaches Claude how to do a specific job, such as writing a report in your format. Anthropic summarises it as MCP connecting Claude to data and skills teaching Claude what to do with that data.

Do I need MCP to use Claude Skills?

No. A skill can work with information you provide directly in a conversation or project. MCP becomes useful when the skill needs live data from your systems, such as CRM records or files in a drive, so nobody has to paste the information in each time.

Can a skill replace an MCP connection?

No. A skill holds a method; it does not give AI access to your systems. If a task needs live data from a tool, you need a connection such as an MCP server. The two complement each other rather than overlap.

Where should company knowledge live: in skills or in MCP?

In neither, ideally. Company facts such as product details, pricing rules and the brand voice change often, so they are best kept in one shared knowledge layer that every skill reads. That way a price change is updated once rather than in every skill.

Are skills and MCP only for Claude?

No. Anthropic introduced both, but MCP is an open standard supported by other AI tools, and Anthropic published Agent Skills as an open standard in December 2025. Support varies by vendor, so check which features your team's assistants offer before relying on them.

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