Plugins vs MCP

Plugins and MCPs get confused because they overlap. Both extend your agent. Both come from an ecosystem. But they solve different problems. An MCP adds raw tools. A plugin wraps tools PLUS workflows PLUS event handling into a coherent product. Picking the right one matters for how you build, how you distribute, and how your users experience the result.

Head-to-head. The actual distinction.

~ plugin vs MCP, six ways ~

Read the bottom row as the test: if your thing is "connect to this one service and expose its operations," that's an MCP. If your thing is "turn my agent into a Telegram bot with all the prompts and event handlers that make that work," that's a plugin.

The decision tree.

Three questions. Stop at the first yes.

~ stop at the first yes ~

A real worked example.

Say you want to add "send SMS" to your agent. Here's how each choice plays out:

The MCP and skill are the ingredients. The plugin is the dish. You choose based on whether your users want to do the cooking themselves or just sit down and eat.

When to upgrade an MCP to a plugin.

You often start with an MCP, use it for a while, and realize the same supporting pieces keep getting reinvented by each user. That's the signal to graduate it to a plugin.

Rule of thumb: the first time you wish users just had the whole thing working out of the box, that's when you stop shipping an MCP and start shipping a plugin.

Why both exist (and why that's fine).

MCPs are a protocol. Any AI, any client, any future model, can use MCPs. They're the open layer of the ecosystem.

Plugins are a packaging format, specifically for Claude Code today. They're opinionated, convenient, and solve the "I just want this to work" problem in a way that portable primitives can't.

Both are useful for different reasons. Most real production systems end up using both: a few tightly-scoped MCPs for the primitives, a handful of plugins for the complete workflows. Mixing is the right move.