MCP and Agent Skills, explained: the plugs that let AI agents use your apps
MCP connects AI assistants to apps and data; Agent Skills teach them how to do specific jobs. Both are open standards, and both now belong to the same neutral foundation.
By ScoviAI Team
Key points
- MCP (Model Context Protocol) is a standard way to connect AI to apps and data
- Agent Skills are packaged instructions that teach an agent a specific task
- Both started at Anthropic and now belong to the Agentic AI Foundation
- Standards mean one connector or skill can work in many AI apps
Two technical terms keep coming up in AI news: MCP and Agent Skills. They sound complicated, but the idea behind both is simple. They're shared standards that let AI assistants work with the tools you already use.
The problem they solve
An AI assistant on its own only knows what it learned in training. To be useful at work, it needs to reach your apps (email, files, calendars, databases) and know how you want things done (your report format, your coding rules). Without standards, every AI app would need its own custom connection to every tool.
MCP: the plug
The Model Context Protocol (MCP) is a standard way to connect an AI assistant to an app or data source. Think of it like a USB port: build one MCP connector for your app, and any AI assistant that supports MCP can use it.
Example: an MCP connector for a project tracker lets an assistant read your tasks and update them, whether you're using Claude, ChatGPT or another tool that supports MCP.
Agent Skills: the know-how
Agent Skills are packaged instructions, sometimes with small scripts or files, that teach an agent how to do a specific job. A skill might explain how to build your company's slide deck, review code by your team's rules, or fill in a particular form.
Example: a "quarterly report" skill tells the agent which data to pull, how to lay it out and what to check before it's done.
| MCP | Agent Skills | |
|---|---|---|
| What it is | A connector to an app or data | Instructions for a task |
| Answers the question | "What can the agent reach?" | "How should it do this job?" |
| Analogy | A plug | A recipe |
Who controls them
Both started at Anthropic. MCP was donated to the Agentic AI Foundation, hosted by the Linux Foundation, in December 2025, and Agent Skills joined it in October 2026 (read the news). Anthropic says more than 70 agent platforms, including ChatGPT, Cursor, GitHub Copilot and VS Code, use Agent Skills.
Why it matters to you
Standards mean less lock-in. A skill or connector built once can work in many AI apps, so you can switch assistants without starting over. And because they're open, security problems can be found and fixed in the open. Still, only install skills and connectors from sources you trust, since they can give an agent access to your data.
Sources
- Donating Agent Skills to the Agentic AI Foundation (Anthropic)
- Donating MCP to the Agentic AI Foundation (Anthropic)
ScoviAI Team is the ScoviAI newsroom. We write every article ourselves from the original announcements and link our sources. Spotted a mistake? Tell us and we'll fix it.
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