Introduction: Why Everyone’s Suddenly Talking About Cursor CLI

Cursor CLI is having a moment, and honestly? It deserves it. If you’ve spent any time scrolling through dev Twitter (sorry, dev X) or lurking in programming subreddits lately, you’ve probably seen someone gushing about how it changed the way they ship code. Maybe you rolled your eyes a little. I get it. Every other month there’s a “revolutionary” new dev tool that turns out to be a glorified autocomplete with a fancy logo.

This one’s different, though. I promise I’m not just saying that because it’s trendy to say.

Picture this: you’re deep in a terminal session, three SSH hops away from your actual laptop, and you need to refactor a gnarly function without opening a full IDE. That’s exactly the kind of moment this tool was built for. It’s not trying to replace your editor — it’s trying to live in the place developers already spend half their day: the command line.

In this guide, we’re going to unpack everything about Cursor CLI — what it is, how it stacks up against alternatives like Claude Code, how to install it (including the slightly fiddly Windows WSL setup), and how its slash commands, agent modes, and MCP server support actually work in practice. We’ll also talk about why a tool like this matters even if you’re not a hardcore programmer — because if you’re a business owner, factory owner, freelancer, or Shopify partner thinking about your next WordPress build, understanding tools like this one tells you a lot about who you should trust to build your site. And on that note, we’ll explain exactly where vision.pk fits into this picture.

Grab a coffee. This is a long one, but I promise it’s worth it.

What Is Cursor CLI, Really?

Let’s start with the basics, because not everyone reading this lives and breathes terminal commands all day.

Cursor CLI is a command-line interface that brings Cursor’s AI coding agent capabilities directly into your terminal window. Instead of opening a graphical app, clicking through menus, and waiting for panels to load, you type a single command and you’re talking to an AI coding agent right there in your shell.

Think of it as having a junior (okay, sometimes senior) developer sitting next to you who can:

• Read through your entire codebase and explain how it works
• Generate boilerplate code in seconds
• Refactor messy logic into something cleaner
• Run automated debugging cycles without you lifting a finger
• Chain together multi-step workflows using plain English instructions

The beauty of this terminal AI assistant is that it doesn’t ask you to leave your natural habitat. If you’re the kind of developer who lives in tmux, screen, or a remote SSH session on some headless server, it meets you exactly where you are. No GUI required. No mouse. Just you, your keyboard, and an AI agent that actually understands code.

So when people ask “what is Cursor CLI,” the short answer is: it’s an AI coding agent that lives in your terminal and helps you write, understand, and fix code faster than you could alone. The longer answer is basically the rest of this article.

Cursor CLI vs. Cursor Desktop IDE

Here’s where people get confused. Cursor (the company) makes two different products that share a brain but live in very different bodies.

The Cursor Desktop IDE is the graphical application — tabs, sidebars, inline suggestions, the whole visual experience you’d expect from a modern code editor. It’s gorgeous, honestly. But it’s also heavy. It needs a full desktop environment, a decent amount of RAM, and your full visual attention.

Cursor CLI, on the other hand, strips all of that away — Cursor CLI is text-based, lightweight, and built for speed over remote connections. You don’t need a window manager. You don’t need a mouse. You just need a terminal emulator, which basically every machine on Earth already has.

Here’s a quick side-by-side so you can see the differences clearly:

The cool part? You’re not choosing one over the other forever. A lot of developers use the Desktop IDE for big-picture visual editing and switch to the CLI tool when they’re working remotely, scripting a deployment pipeline, or just want something snappier for quick tasks. They genuinely complement each other.

If you ask me, its rise says something bigger about where development is heading — back toward lightweight, composable tools that don’t demand your whole screen. There’s a reason terminal-native tools are having a renaissance, and this one is riding that wave nicely.

Cursor CLI vs Claude Code: The Real Comparison

This is probably the question I get asked the most, so let’s not dance around it: how does Cursor CLI compare to Claude Code?

Both are terminal-based AI coding agents. Both let you talk to an AI in plain English and have it write or modify code for you. But they come from different companies with different philosophies, and the experience of using each one feels a little different day to day.

Realistically, most developers don’t pick one as “the winner” — they pick whichever one fits their existing subscriptions, team habits, or model preferences. Cursor CLI tends to win out for teams already inside the Cursor ecosystem. If your team already lives inside the Cursor ecosystem, this CLI tool is the natural extension. If you’re already deep into Claude-based workflows, Claude Code might feel more native. Neither choice is wrong, and plenty of teams (including ours at vision.pk) keep both around depending on the project.

What matters more than the brand name is how you use it. A terminal AI assistant is only as good as the workflows you build around it — and that’s exactly where a professional team that’s spent real hours inside both tools (hint, hint) has an edge over someone just kicking the tires for the first time.

How to Install Cursor CLI (Step by Step)

Alright, let’s get practical. Here’s how to get it installed and get your first session running.

1. Open your terminal. Doesn’t matter if it’s the default macOS Terminal, iTerm2, GNOME Terminal, or Windows Terminal.
2. Run the installer command provided by Cursor’s official setup script (always pull this from Cursor’s official documentation rather than a random blog screenshot — security first, folks).
3. Authenticate your Cursor account. This tool ties into the same account system as the Desktop IDE, so if you already have a Cursor login, you’re halfway there.
4. Navigate to your project folder using cd /path/to/your/project.
5. Launch the agent by simply typing:

bash

cursor-agent

That’s it. You’re now inside an interactive Cursor CLI session, and the agent has context on the folder you launched it from.

A little tip from experience: always launch it from the root of your repository, not some random subfolder. The agent’s understanding of your codebase is way better when it can see the full project structure from the start.

Cursor CLI Windows WSL Setup

If you’re on Windows, there’s one extra (but painless) step before you dive in.

Because this tool runs an advanced, local agentic system, it’s strongly recommended that Windows users set up WSL (Windows Subsystem for Linux) before invoking the cursor-agent command. Here’s why that matters: a lot of the underlying tooling it depends on assumes a Unix-like environment, and WSL gives you exactly that without needing to dual-boot or install a separate machine.

Quick setup path:

1. Open PowerShell as Administrator.
2. Run wsl --install (this pulls down Ubuntu by default on most Windows 10/11 builds).
3. Restart if prompted.
4. Open your new Ubuntu/WSL terminal.
5. Install it inside that WSL environment, exactly the same way you would on native Linux or macOS.
6. Run cursor-agent from inside WSL, pointed at your project directory.

Once that’s done, it behaves identically on Windows, Mac, or Linux. No weird path issues, no permission headaches — just a smooth terminal AI assistant experience regardless of your operating system.

The Three Agent Modes Inside Cursor CLI

This is genuinely one of my favorite design decisions in Cursor CLI as a whole tool. It doesn’t just give you one flavor of “AI helps you code.” It gives you three distinct modes, and switching between them changes how much control you’re handing over.

1. Agent Mode (Default)

This is the default experience for this tool. The AI gets full read and write access to your files. It can create, edit, and delete code on its own to accomplish whatever task you’ve described. This is the mode for when you trust the agent and just want things done.

2. Plan Mode (/plan)

Plan mode tells the agent to slow down. Instead of jumping straight into edits, the agent researches your codebase first and lays out a structured implementation plan for you to review. Nothing gets touched until you approve the plan. This is perfect for bigger changes where you want a second pair of eyes — even if that “second pair of eyes” is your own, reviewing the AI’s homework before it touches production code.

3. Ask Mode (/ask)

Ask mode is strictly read-only. You can ask it questions about your repository — “how does the authentication flow work,” “where’s this function called from,” “what does this regex actually match” — and it’ll explain things without touching a single file. Great for onboarding new team members or just understanding an unfamiliar codebase before you start poking at it.

Switching fluidly between these three modes inside a single session is what makes the tool feel less like a blunt instrument and more like an actual collaborator that respects your boundaries.

Mastering Cursor CLI Slash Commands

Slash commands are the quiet workhorses of any good session with this tool. They’re quick text shortcuts you type to adjust the agent’s behavior on the fly, without breaking your flow.

Some of the most useful built-in slash commands include:

• /new-chat — clears your current context and starts a fresh session. Handy when you’ve moved on to a completely unrelated task and don’t want old context muddying the agent’s responses.
• /model [name] — switches your active AI engine mid-session. Maybe you want a faster model for quick edits and a more powerful one for deep refactors.
• /compress — summarizes a long, sprawling conversation to free up token limits, which matters a lot once your session has been running for a while.
• /plan and /ask — as covered above, switch agent behavior.
• /mcp list — browse and manage your connected MCP servers.
• /auto-run [on|off|status] — controls whether the agent can execute terminal commands without asking permission first.
• /sandbox — isolates execution environments for safer testing.
• /usage — shows your current billing and usage stats.

Learning even five or six of these commands by heart will dramatically speed up how you use this tool day to day. It’s a bit like learning keyboard shortcuts in any app — clunky at first, second nature within a week.

Building Custom Slash Commands in Cursor CLI

Here’s a feature that doesn’t get talked about enough: you can build your own slash commands for Cursor CLI, which is one of its most underrated abilities.

All it takes is saving a plain Markdown file inside a .cursor/commands/ directory at the root of your project. Name the file something descriptive — say, lint-fix.md or security-audit.md — and inside that file, write out the exact instructions you want the agent to follow whenever that command runs.

So once you’ve saved .cursor/commands/security-audit.md, you can simply type /security-audit during any session, and the agent will follow whatever detailed instructions you wrote in that file. This is huge for teams. It means your whole engineering team can share the same custom commands, version-controlled right alongside your actual code, ensuring everyone’s AI agent behaves consistently.

For agencies and dev teams managing multiple WordPress projects (this is exactly the kind of internal tooling a team like vision.pk builds out for repeated tasks — think /wp-deploy.md or /woocommerce-check.md), custom slash commands turn this terminal AI assistant from a generic helper into a tailored extension of your own engineering process.

MCP Servers and Cursor CLI

If you’ve been in the AI tooling space for more than five minutes, you’ve probably heard “MCP” thrown around. MCP, or Model Context Protocol, is basically a standardized way for AI agents to talk to external tools and services.

It supports MCP natively. Typing /mcp list inside any session lets you browse and configure the MCP servers currently available to your agent. This widens what the AI can actually do — instead of just reading and writing code, it can reach out to project management tools, databases, deployment pipelines, or whatever else you’ve connected.

This matters a lot in real-world dev work. Imagine telling the agent, “check our latest deployment status and roll back if the health check failed” — and having it actually reach out through an MCP-connected deployment tool to do exactly that. That’s the direction terminal AI assistants are heading, and Cursor CLI is already there.

Auto-Run, Sandbox, and Staying in Control

A reasonable question at this point: “Okay, but how much control do I actually have over an AI that can read AND write to my codebase?”

Quite a lot, actually. This tool was clearly designed with safety rails in mind.

• /auto-run [on|off|status] toggles whether the agent can run generated terminal commands without asking your permission first. Keep this off if you want to approve every single action. Turn it on once you trust the workflow and want speed.
• /sandbox lets you isolate execution environments, so even automated commands run somewhere contained rather than directly against your live system.

This balance — power when you want it, guardrails when you need them — is one of the most underrated parts of this tool. It respects that not every developer (or every agency, or every client project) has the same risk tolerance.

Tracking Usage Inside Cursor CLI

Nobody likes opening a billing dashboard mid-sprint just to check how much AI usage they’ve burned through. This tool solves that with the simple /usage slash command, which displays your current billing details, streak parameters, and subscription metrics — right there in the terminal, without breaking your workflow.

It’s a small thing, but small conveniences like this add up over a long coding session.

Why a Terminal AI Assistant Matters for Your Business

Okay, let’s zoom out. Maybe you’re not a developer. Maybe you’re a business owner in Faisalabad running a small manufacturing operation, or a Shopify partner who needs a custom domain setup, or a freelancer trying to figure out who to trust with your next online store build. Why should you care about something as nerdy-sounding as a terminal AI agent like this?

Here’s why: tools like this are reshaping how fast and how well development teams can build things. An agency or freelance developer who’s fluent in modern AI coding agents — whether that’s Cursor CLI, Claude Code, or similar tools — can:

• Ship features faster, because boilerplate and repetitive code gets automated
• Catch bugs earlier, because automated debugging cycles happen continuously
• Maintain cleaner codebases, because refactors that used to take days now take hours
• Spend more actual human time on the things that matter — your business logic, your design, your customer experience

If you’re hiring a WordPress development team, a Shopify expert, or anyone building your online presence, asking whether they use modern tooling like Cursor CLI isn’t a nerdy gotcha question. It’s a genuinely useful signal of whether you’re working with a team that moves fast and stays current.

Where vision.pk Fits Into Your Cursor CLI Workflow

This is exactly the gap vision.pk lives in.

Our team builds WordPress and WooCommerce projects day in, day out, and we’ve fully integrated modern AI coding agents — including this one — into how we work. That means when you hire vision.pk for your WordPress development project, you’re not getting a team fumbling through outdated workflows. You’re getting developers who use its agent mode for rapid feature builds, plan mode for careful, big-picture architecture decisions on your store, and ask mode to deeply understand legacy codebases before touching a single line — which matters enormously if you’re handing us an existing site that some previous developer left in a mess (we’ve all been there, no judgment).

We use its custom slash commands internally to standardize how we deploy, test, and audit WooCommerce stores. We use MCP server integrations to connect our sessions with this tool directly to deployment and project tools, which means fewer manual steps and fewer chances for human error between “code is done” and “code is live on your store.”

Whether you’re a factory owner who needs a clean WooCommerce catalog for your products, a Shopify partner who needs a custom domain and a WordPress migration done right, a freelancer who wants a fast-loading portfolio site, or simply someone with a clear goal of finally hiring a real WordPress team instead of duct-taping a theme together yourself — this is exactly the kind of project vision.pk handles.

📲 Ready to talk about your project? Contact vision.pk on WhatsApp now and let’s figure out exactly what you need.

Whether your project involves a from-scratch WooCommerce build, a custom booking system, a tricky checkout integration, or just modernizing an outdated WordPress install, our team treats every project with the same AI-assisted precision we talked about throughout this whole breakdown.

💬 Don’t sit on this — message vision.pk directly via WhatsApp and get a real answer about your project today, not a generic auto-reply three days later.

Frequently Asked Questions About Cursor CLI

What is Cursor CLI?

Cursor CLI is a command-line interface that brings Cursor’s advanced AI coding agent capabilities directly into your terminal. It lets you generate boilerplate code, explore codebases, refactor logic, and run automated debugging cycles natively in the command prompt, without needing to switch over to a graphical IDE.

How does it differ from the main Cursor Desktop IDE?

The Cursor Desktop IDE relies on a graphical interface — menus, visual tabs, inline sidebar panels. This tool works strictly through text-based instructions in a terminal. It consumes far fewer system resources, plays nicely with remote SSH connections, and lets you chain complex workflows together using terminal scripts.

What are the primary agent modes available?

There are three: Agent Mode (default, full read/write access for direct coding tasks), Plan Mode (/plan, research and structured planning before any edits happen), and Ask Mode (/ask, read-only exploration with zero file edits).

What command do I use to start a session?

Navigate to your project folder using cd, then simply type cursor-agent into your terminal to launch an interactive session.

Can I use it on Windows?

Yes. Since this tool runs an advanced local agentic system, it’s highly recommended to set up WSL (Windows Subsystem for Linux) first, then run cursor-agent from inside that environment for the smoothest experience.

What are Cursor CLI slash commands and how do they work?

Slash commands are quick text shortcuts you type during a session to adjust behavior. /new-chat clears your current context for a fresh start, /model [name] switches your active AI engine, and /compress summarizes long conversations to free up token limits.

How do I create custom slash commands?

Save standard Markdown files inside a .cursor/commands/ directory in your project root. A file named lint-fix.md lets you type /lint-fix directly into your session to trigger that exact, structured instruction set.

Does it support Model Context Protocol (MCP)?

Yes. Typing /mcp list inside it lets you browse and configure available MCP servers, widening the range of external tools your AI agent can safely connect to and communicate with.

Can it automatically execute terminal commands?

Yes, but you stay in control. The /auto-run [on|off|status] command toggles whether the agent can run generated commands without asking first, and /sandbox lets you isolate execution environments for safer testing.

How do I check my usage and session limits?

Type /usage during any active session to see your billing details, streak parameters, and current subscription metrics, right there in your terminal.

Final Thoughts and Your Next Move

So, where does that leave us? Cursor CLI isn’t some flashy gimmick that’ll be forgotten in six months. It’s a genuinely well-thought-out terminal AI assistant that respects how developers actually work — fast, text-first, and often far away from a graphical screen. Between its three agent modes, its flexible slash commands, custom Markdown-based command creation, and native MCP server support, Cursor CLI covers a lot of ground for something that lives entirely inside a command prompt.

Whether you’re a developer trying to decide between Cursor CLI and Claude Code, a Windows user figuring out the WSL setup, or someone non-technical just trying to understand why your developer keeps talking about “agent mode” — hopefully this guide cleared things up.

And if you’re here because you’re actually trying to get a WordPress or WooCommerce project off the ground — a store, a booking system, a full redesign, anything — this is your sign to stop putting it off. The agencies and freelancers using modern tools like Cursor CLI are building faster and cleaner than ever before, and vision.pk is right there at the front of that wave.

🚀 Don’t let another month pass with an unfinished website. Reach out to vision.pk on WhatsApp right now and let’s build something you’re actually proud of.

📩 Got questions about your project, budget, or timeline? Tap here to chat with vision.pk on WhatsApp — real answers, no waiting around.