Hidden Features
Capabilities most people miss — Artifacts, Projects, MCP, and Claude Code.
The features that change what Claude can do
Beyond the chat box, a handful of Claude features quietly expand what is possible. Artifacts turn an answer into a live document, component, or mini-app you refine in place. Projects hold shared context and files across many conversations. Extended thinking lets Claude reason visibly before answering hard problems. And the Model Context Protocol connects Claude to your own tools and data through a standard interface — the doorway to grounded, real-world workflows.
Match the feature to the job
Each earns its place in a different situation. Build in an Artifact when you want to iterate on something concrete rather than reading it back in chat. Use Projects for engagements that span sessions and would otherwise fragment. Turn on Extended thinking when a problem genuinely needs careful reasoning. And reach for MCP when you want Claude to act on your real data — files, databases, internal systems — instead of pasted snippets. Together they turn Claude from a chat window into a workbench.
The hidden-feature topics to explore
This section covers Artifacts, Projects, Extended thinking, and the Model Context Protocol. Pick the card below for the feature that matches how you want to work.
What are Claude Artifacts?
Artifacts turn an answer into a live, iterable object — a document, component, or small app — that you refine in place rather than rebuilding in chat. They are ideal when you want to iterate on something concrete instead of reading it back.
What is Claude's extended thinking?
Extended thinking lets Claude reason step by step, visibly, before giving its final answer. It is worth enabling for genuinely hard problems where careful reasoning improves the result, and less necessary for quick, simple tasks.
What is MCP (Model Context Protocol)?
The Model Context Protocol is an open standard for connecting Claude to external tools and data — files, databases, APIs, internal systems — through one consistent interface. It is what lets Claude act safely on your real data rather than pasted text.
What are Claude Projects?
Projects hold shared context and files across many conversations, keeping a long engagement coherent instead of scattered across separate chats. They are ideal for ongoing work you return to over multiple sessions.
Do you know Claude's hidden features?
Six questions on the capabilities most people never touch — Artifacts, Projects, MCP, and extended thinking. No sign-up, instant score, and you can share how you did.
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Q1 You've built something in an Artifact and want a variation. What's the right move?Why
Re-asking gets you a fresh artifact that lost your earlier tweaks, and copying it back into chat restarts the drift you were avoiding. Iterating in place is the whole point of the side panel.
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Q2 How should you organise Claude Projects?Why
Pile every client and topic into one project and Claude cites the wrong document. If you find yourself writing conditional instructions — 'if it's for client X…' — that's the signal to split into separate projects.
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Q3 What do most people get wrong about Project knowledge?Why
Project knowledge is maintained, not accumulated. Leave two contradictory documents in place and Claude can't reliably pick the right one — so chats stay confidently 'consistent' with facts that expired months ago.
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Q4 What is MCP (the Model Context Protocol) for?Why
MCP is what turns Claude from a chat window into something that can act on your actual context. It's also why access scoping matters — connect the narrowest permission the job needs, not read-write admin because it's the default.
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Q5 You're connecting an MCP server that only ever needs to read a dataset. What access do you grant?Why
Least privilege: grant the narrowest access the job actually requires. 'In case you need it later' and 'it's the default' are how a read task gets write access to production — and testing is exactly where accidents happen.
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Q6 When is extended thinking genuinely worth turning on?Why
Thinking earns its latency on multi-step arithmetic, logic, and constraint problems — where one silent slip changes everything. On trivial tasks you pay latency for no gain. And when you do use it, read the trace: a one-line correction often beats re-rolling the whole answer.