MCP vs agent skills
MCP connects an AI to outside tools and data. A skill is a folder of instructions that teaches it how to do a task.
Use an MCP server when the AI needs to reach something outside the chat, like your calendar, a database or a ticket system. Use a skill when it already has what it needs and you want it to follow your method.
They are not rivals. A skill can tell the AI how to use an MCP server well. What MCP is and what agent skills are cover each in detail.
Good for
- Claude and ChatGPT users deciding what to add to their setup
- Developers choosing between building an MCP server or a skill
- Teams that want a repeatable way of working written down
Side by side
Use MCP to connect, skills to instruct, and both when a task needs both. Neither replaces the other.
| Option | MCP server | Agent skill |
|---|---|---|
| What it is | Open protocol | Folder with SKILL.md |
| Gives the AI | Tools, data, prompts | Instructions, scripts, files |
| Needs a running server | Yes | No |
| Reaches live apps | Yes, through tools | Only if the environment allows |
| Context cost | Tool list every session | Name and description until used |
| Open standard | modelcontextprotocol.io | agentskills.io |
| Used in | Claude, ChatGPT, Cursor | Claude, ChatGPT, Codex |
| Best for | Live data and actions | Repeatable know-how |
Which to pick
Our advice: pick MCP when the AI must read or change something in another system. Pick a skill when you want it to follow your steps, style or checklist. Use both when a skill tells the AI how to work with an MCP server's tools.
The limit on each side: MCP servers add their tool list to context while connected, and skills cannot reach live apps unless the environment gives them network access.
Best for
- MCP: reading mail, tickets, files or databases from a chat
- MCP: actions like creating an issue or sending a message
- Skills: a release checklist, report format or review routine
- Skills: team know-how that should load only when it is relevant
- Both: a skill that sets the rules for how a connected server is used
Skip it if
- MCP: all you need is a procedure, since a server adds setup and context cost (our synthesis)
- Skills: you need live data, since a skill is files and instructions on their own (our synthesis)
Related plugs
6
Notion MCPOfficialHostedOAuthNotion's hosted remote MCP server at mcp.notion.com. Sign in with OAuth and an AI client can search, read, create and update the pages and databases you can access. No local install.
GitHub MCP ServerOfficialHosted or LocalOAuthGitHub's official MCP server. Lets an AI assistant read code, manage issues and pull requests, check Actions runs and security alerts. Hosted at api.githubcopilot.com/mcp or run locally with Docker or a Go binary.
34.1K GitHub stars
LinearOfficialHostedOAuthFind and manage issues, projects, and documents in your Linear workspace.
SupabaseOfficialHosted or LocalOAuthMCP server for interacting with the Supabase platform
3K GitHub stars
Playwright MCPOfficialLocalPlaywright MCP server
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Context7OfficialHosted or LocalAPI keyUp-to-date docs for AI agents
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Questions
What is the difference between MCP and skills?
MCP is an open protocol that connects an AI to outside tools and data. A skill is a folder with a SKILL.md file that tells the AI how to do a task, and it can bundle scripts and reference files.
Do MCP and skills work together?
Yes. OpenAI describes a plugin as an MCP connection that can also contain skills with reusable instructions. In Claude Code, a skill can set the steps and the connected MCP server supplies the data.
Which uses less context?
A skill, until it is used. Anthropic says only its name and description sit in context at start, and the full instructions load when a task matches. Connected MCP servers add their tool names and instructions to context even when idle.
Can a skill call an API?
Only if the environment allows it. Anthropic says skills may have full, partial or no network access depending on settings, and on the Claude API they run in a sandbox with no network access. An MCP server is the usual way to give access to a live service.
Do I need to code to use either?
No. You can add an existing MCP server or install a ready-made skill. Writing your own skill takes a markdown file. Building a server takes code. Browse ready-made skills.
Are skills only for Claude?
No. Agent Skills is an open format, and Claude Code says its skills follow that open standard, which works across multiple AI tools. ChatGPT and Codex also have skills.
Are MCP servers only for Claude?
No. The MCP docs name Claude, ChatGPT, Visual Studio Code and Cursor among clients that support it.
Should I use MCP or a CLI instead?
Anthropic's Claude Code guide says that if a system has a CLI, that is usually the easiest way in, and MCP is for systems without one. See MCP vs CLI.
Sources
Docs, issue trackers and discussions this page is built from.
Show all 8Hide
- What is the Model Context Protocol? · modelcontextprotocol.io
- Agent Skills overview · docs.claude.com
- Model Context Protocol (ChatGPT Learn) · learn.chatgpt.com
- MCP architecture · modelcontextprotocol.io
- MCP server concepts · modelcontextprotocol.io
- What are skills? · agentskills.io
- Extend Claude with skills · code.claude.com
- Best practices for Claude Code · code.claude.com