What integration problem does MCP solve?
Same topic, related formats. Practice these next.
Same topic, related formats. Practice these next.
MCP turns the M×N integration explosion into M+N: each host speaks MCP once, each tool exposes MCP once, so they all interoperate without bespoke pairwise glue.
Picture a world before standard wall sockets, where every appliance needed its own custom plug for every house. A toaster wired for one home would not fit the next. If you had many homes and many appliances, you wired a unique connection for every single pair, an explosion of one-off adapters. Then everyone agreed on one socket shape. Now each home installs that socket once, and each appliance ships one matching plug once. Any appliance works in any home. MCP is that shared socket for AI apps and tools. Each app learns to speak MCP a single time, each tool exposes MCP a single time, and suddenly every app can use every tool. No more hand-wiring a custom connector for each app and tool combination.
Everything you need to truly understand this topic: intuition, mechanics, step by step explanation, code, formulas, and worked example. Click to expand.
Everything you need to truly understand this topic: intuition, mechanics, step by step explanation, code, formulas, and worked example.
Everything important, quickly.
3 min: state the M×N product, derive the M+N collapse, give the USB-C analogy, then name the decoupling win and when to skip MCP.
| Concern | No shared standard | With MCP |
|---|---|---|
| Integration count | M × N bespoke adapters | M + N (one per side) |
| Adding a new tool | Update every existing host | Ship one MCP server |
| Adding a new host | Re-integrate every tool | Implement one MCP client |
| Scaling behavior | Multiplicative, super-linear in practice | Linear in hosts plus tools |
| Tool reuse across apps | None; each pairing is custom | Write once, runs in any host |
Real products, models, and research that use this idea.
What an interviewer would ask next. Try answering before peeking at the approach.
Red flags and common mistakes that signal junior thinking. Click to expand.
Saying MCP only saves a bit of code. The real win is collapsing combinatorial pairwise integrations into a linear count both sides build once.
The night-before-the-interview bullets. Scan these on the way to the call.
Primary sources. Skim if you want the original framing.