Most people run Claude Code like a smarter autocomplete. The thing that flips it into an actual agent is MCP — the Model Context Protocol, the standard "plug" that lets Claude reach real tools instead of only talking about them: the live web, a browser, your GitHub, your Notion, your Figma. You connect a server once and Claude can use it in any project.
You don't need a tutorial from me for the wiring — Anthropic's own guide walks you through adding any server in a minute, and each tool below links its own setup docs. Start here for the "how do I add one" part: Connect Claude Code to tools via MCP. Then pick from the five below — I've written what each actually unlocks, and given you the official place to grab it and the how-to docs to set it up properly.
One rule before you install anything: only add servers you trust, and keep every API key or token on your own machine.
This is the one that ends the "sorry, my information might be out of date" problem. Perplexity gives Claude real-time web search that comes back with sources, so it can check the current version of a library, today's pricing, or a fresh release instead of guessing from its training data. It's the difference between an assistant that sounds confident and one that's actually right.
→ Official MCP server: github.com/perplexityai/modelcontextprotocol · API key + how-to docs: docs.perplexity.ai
With Playwright, Claude stops guessing about web pages and starts operating them: it navigates, clicks, fills forms, and reads what's actually on screen. This is the one that feels like magic the first time — you watch Claude log into a site or walk through a flow by itself. No API key, and it's maintained by Microsoft, so it's rock solid.
→ Official server + full setup docs: github.com/microsoft/playwright-mcp
Once GitHub is connected, Claude works inside your actual repos: it reads code across the project, opens issues, and files pull requests — without you leaving the conversation to do the GitHub busywork. It turns "here's how I'd fix it" into "done, PR is open for review."
→ Official GitHub MCP server + docs: github.com/github/github-mcp-server
Claude forgets everything between sessions. Notion fixes that by giving it a place to read and write: it can pull your specs, project notes, and decisions as context, and write new decisions back. Your workspace becomes the memory Claude reaches for, so you stop re-explaining the same project every time.
→ Connect it + official docs: Notion MCP documentation
Point Claude at a Figma frame and it reads the real layout, spacing, and design tokens to generate component code that actually matches — instead of you eyeballing a screenshot. Figma now ships an official MCP server for exactly this, so the handoff from design to working UI happens in one step.
→ Official guide: Guide to the Figma MCP server · developer docs: developers.figma.com/docs/figma-mcp-server
If you only add one today, make it Playwright — no key, and the payoff is instantly visual — or Perplexity, which quietly kills the biggest failure mode of coding with an AI: stale information. The other three earn their place the moment Claude needs your context: your repo, your docs, your designs. Add them one at a time, ask Claude to actually use each one, and you'll feel the shift from "fancy chatbot" to "agent that does the work."
This is the setup behind the reel. The part I'm building in public is the system that ties these into a repeatable way to ship — follow along at @buildwith.conrad.