Give the agent context: your files, MCPs & skills

🎯Goal. Feed the agent the right context so its answers are grounded in your project and your tools — the single biggest quality lever.

1. 1The chat and Agent already understand your own project files — reference the specific files or folders the task touches so the agent works from your real code, not assumptions.
2. 2Cursor supports MCPs, skills, hooks, and cloud agents (extended on paid plans). MCPs connect the agent to external tools and data; skills and hooks shape how it works.
3. 3Because Cursor is built on VS Code, your full extension ecosystem and native Jupyter notebook support come along — keep using the tools you already know alongside the agent.

✓You'll see. The agent producing answers tied to your actual files and, where wired up, reaching external tools through MCP — fewer generic, off-target suggestions.

💳Cost. Context features themselves are about quality, not extra fees; the usual usage metering applies to the model requests they drive. Teams plans add Bugbot agentic code reviews and shared-context cloud agents.

💡Takeaway. Good context — your files plus MCPs/skills — is what turns a generic assistant into one that genuinely knows your project.