MCP vs AI agents
MCP and AI agents do different jobs. The agent decides what to do, and MCP connects it to your apps and data.
MCP and agents are not alternatives. An agent is an AI system that directs its own steps and tool use, and MCP is the open standard that lets AI apps connect to outside systems such as Notion or Sentry.
Anthropic calls MCP one way to give an agent tools. Our advice: pick the agent you want first, then add MCP servers for the apps it cannot reach.
Good for
- People who keep seeing "MCP" and "agent" used as if they were the same thing
- Claude Code, Codex and Cursor users adding tools to an agent
- Builders deciding what to build first
Side by side
Use an agent to get work done and MCP to give it reach into your apps. You do not choose between them.
| Option | MCP | AI agent |
|---|---|---|
| What it is | Open standard for connecting AI apps to outside systems | A system where the model directs its own steps and tools |
| Decides what to do next | Not part of MCP: it does not dictate how apps use LLMs | Yes |
| Connects to your apps and data | Yes, that is its job | Through tools such as MCP servers |
| You set up | A server or connector | An agent app |
| Defined by | One open spec | Several definitions |
| Example | Notion or Sentry server | Claude Code and its subagents |
Which to pick
Our advice: you do not pick one. Use an agent such as Claude Code to do the work, and add MCP servers for the apps it needs to reach. Anthropic says to start with the simplest solution that works.
The main limit: MCP does not give an agent any judgment, and an agent cannot reach an app without a tool such as an MCP server.
Best for
- MCP: connecting an AI app to a service like Notion, Sentry or your own system
- Agents: tasks with many steps where the next step depends on what happened
- Both: an agent app with MCP servers added for the apps it needs
Skip it if
- MCP: you expect it to plan or decide, since the spec only covers sharing context
- Agents: a fixed sequence of steps is enough, since Anthropic says to start with the simplest solution
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
38.9K GitHub stars
Context7OfficialHosted or LocalAPI keyUp-to-date docs for AI agents
64K GitHub stars
Questions
What is the difference between MCP and an AI agent?
An agent is the AI that decides what to do. MCP is the standard it uses to connect to outside systems. Anthropic defines agents as systems where models direct their own processes and tool use, and the MCP site defines MCP as an open standard for connecting AI applications to external systems.
Is MCP an agent?
No. MCP covers how context and tools are shared between an AI app and a server. The MCP architecture page says it does not dictate how AI applications use LLMs or manage the context they receive. For how MCP differs from skills, see MCP vs skills.
Do AI agents need MCP?
No. Anthropic calls MCP one approach to giving a model tools. A terminal agent can also run command-line tools directly. See MCP vs CLI for when to use each.
Is Claude Code an agent or an MCP client?
Both. Claude Code is an agent that edits files and runs commands, and the MCP docs name it as an example of an MCP host that connects to servers. See Claude Code MCP setup.
What is the difference between an agent and a workflow?
Anthropic says workflows run through predefined code paths, while agents let the model direct its own process and tool use. Anthropic suggests starting with the simplest option and adding complexity only when needed.
What are subagents?
Subagents are Claude Code helpers for specific types of task. Each runs in its own context and returns a summary to the main conversation. If a worker needs a different tool, Anthropic says to expose that tool to Claude as an MCP server.
How do I give an agent access to my apps?
Add an MCP server or connector for the app. In Claude Code you use claude mcp add, and in Claude's apps you add a connector. See what an MCP connector is and what MCP is.
Do agent frameworks replace MCP?
No, they do different jobs. Anthropic notes that many frameworks make agentic systems easier to build. MCP is a connection standard, not a framework.
Sources
Docs, issue trackers and discussions this page is built from.
Show all 7Hide
- What is the Model Context Protocol? · modelcontextprotocol.io
- Building effective agents · anthropic.com
- MCP architecture overview · modelcontextprotocol.io
- Run agents in parallel · code.claude.com
- Create custom subagents · code.claude.com
- Connect Claude Code to tools via MCP · code.claude.com
- Get started with custom connectors using remote MCP · support.claude.com