10 CLI Tools That Make Claude Code Unstoppable
10 CLI Tools That Make Claude Code Unstoppable
The CLI tool ecosystem around Claude Code has exploded. Everyone is building terminal tools to extend what Claude Code can do, and after testing dozens of them, these are the 10 I keep coming back to. They range from YouTube research to deploying applications to controlling my entire Google suite — all from the terminal.
Here's the thing — Claude Code already lives in the terminal. CLI tools live in the terminal. There's no overhead, no MCP server spinning up, no extra token bloat. It's a straight connection. And that's exactly why CLIs are winning right now.
What Is the Best Way to Extend Claude Code With CLI Tools?
Most people get this wrong. They jump straight to MCP servers for everything, but CLI tools are faster, cheaper on tokens, and simpler to set up. The pattern is almost always the same: install the CLI dependency on your machine, then add a skill file so Claude Code knows how to use it properly.
You don't even need to manually figure out installation steps. Just give Claude Code the URL to the repo or documentation page, and it will install the tool for you. That's it.
Now let me walk you through all 10.
1. CLI Anything — The Tool That Builds Other Tools
CLI Anything is a CLI tool that creates other CLI tools. It's completely open-source, built by the same team behind LightRAG and RAG Anything — serious players in the AI open-source world.
The pitch is simple: point Claude Code at any open-source project, and CLI Anything will generate a CLI tool for that program. They've already done this for Blender, Inkscape, OBS, Zoom, NotebookLM, and more. If you want Claude Code to work with some program from the terminal and there's no clear API, this is your answer.
Installation is two steps. Execution is one step. It runs the full pipeline on its own.
2. NotebookLM CLI — Free Video Analysis From the Terminal
This is one of my personal favorites and something I use every single day. The NotebookLM CLI connects Claude Code to Google's NotebookLM, which is huge because there's no public API for NotebookLM.
Why does this matter? Claude Code and Sonnet/Opus can't really handle videos natively. NotebookLM can. I throw YouTube URLs at it, it does all the analysis for free (the tokens run on Google's servers, not ours), and then brings everything back to Claude Code.
On top of analysis, you get every deliverable NotebookLM offers — podcasts, slide decks, infographics, quizzes, flashcards — all controllable from the terminal. You also get things you can't do in the web interface: batch downloads, slide revision, programmatic sharing.
This one does require a skill file, but installation is a one-liner copy-paste from the repo.
3. Stripe CLI — Stop Fighting Stripe's Interface
Look, if you've ever used Stripe to create a product tied to a web app, you know what a nightmare that interface is. The Stripe CLI takes all that pain and puts it on Claude Code, which navigates Stripe's complexity way faster than you ever could.
Product creation, all those steps that require clicking through 20 different tabs — just gone. You still want to test transactions by hand (obviously), but the setup and configuration work? Let Claude Code handle that from the terminal.
4. FFmpeg — Video and Audio Manipulation
FFmpeg is a collection of libraries for manipulating video, audio, and subtitles. This gives Claude Code serious multimedia capabilities it doesn't have out of the box.
Here's a real example: I created a scrolling animation on a web page where a keyboard goes from assembled to fully expanded. FFmpeg took the entire video and chopped it into individual frames for the scroll-triggered animation. Doing that manually would have been brutal.
Need a looping hero animation? Give it one video. FFmpeg copies it, reverses it, stitches it together. Any time you need Claude Code to work with multimedia, FFmpeg is the tool.
5. GitHub CLI — If You're Not Using This, You're Behind
This should already be in your stack. If you're writing code and pushing to GitHub, the GitHub CLI is non-negotiable. Any workflow where you're constantly pushing to GitHub — especially anything on the deployment side — needs this.
The best part? Claude Code already understands Git and GitHub deeply. You can literally say "install the GitHub CLI" and it handles everything. You'll authenticate through a quick browser link, and from there, pushes, commits, branches, PRs — all from the terminal.
6. Vercel CLI — Deployments Without Tab-Switching
I love Vercel for their generous free tier, and the connection between GitHub CLI and Vercel CLI essentially gives you a full CI/CD pipeline from two tools.
Installation is simple. Usage is simple. If you're ever wondering how to use it, just copy the documentation page and throw it into Claude Code.
Vercel also has a ton of pre-built skills for Claude Code — deployment skills, browser automation skills, design and UI skills. Definitely check out their skills page because there's a lot more there than just deployment.
7. Supabase CLI — Databases and Auth From One Place
Supabase CLI lets you handle all your databases and authentication from one place in the terminal. Same reason I like Vercel — generous free tier, and it consolidates what would normally be multiple tools.
Since Supabase is open-source (it was always meant to be a Firebase alternative), the CLI also lets you run Supabase completely locally. That's a big deal for development workflows where you don't want to hit a remote database every time.
8. Playwright CLI — Browser Automation That Beats MCPs
Playwright CLI gives Claude Code the ability to spin up its own Chrome instances and interact with the web. This is critical for testing.
Here's something worth noting: Playwright's own YouTube channel published a video comparing their CLI versus their MCP server head-to-head. The CLI was faster and used roughly 90,000 fewer tokens to do the same thing. That's the trend across the board — CLIs are beating their MCP counterparts on both speed and cost.
If you build web apps, this is essential. Instead of manually checking your dev server every time you make a change, have Claude Code spin up five Chrome tabs and test from multiple angles automatically.
Playwright goes deep — way beyond simple form testing. If you're serious about browser automation, dig into the repo. There's a lot available.
9. LLM-Fit — Find the Right Local Model for Your Setup
LLM-Fit is a CLI tool that figures out which local model actually makes sense for your specific hardware. For most people, that answer is not obvious.
Head over to Ollama's model page and you'll see an essentially never-ending list. Every model has nine different versions. Open-source updates every three seconds. It's confusing, especially if you don't live in that space.
LLM-Fit solves that by analyzing your setup and recommending what will actually run well on your machine.
10. GWS — Google Workspace CLI
GWS gives Claude Code control over your entire Google Workspace — Gmail, Docs, Sheets, everything. This is extremely powerful.
Now, I know what you're thinking — security. Do you really want Claude Code reading all your emails? The good news: you can sandbox it. Set up shared folders, apply email filters so it only accesses certain messages. Google Workspace also has Armor, which handles prompt injection protection. There are guard rails in place.
This tool has a massive number of skills — almost too many. My approach was to clone the whole repo, point Claude Code at it, and have a conversation: "Now that you can see everything available, what makes the most sense for my use case?" That answer will be different for everyone.
Why Are CLI Tools Better Than MCP Servers for Claude Code?
CLI tools are winning over MCPs for three reasons:
- Lower token cost — Playwright CLI used 90K fewer tokens than the MCP equivalent
- No overhead — No server to spin up, no connection to maintain
- Native environment — Claude Code lives in the terminal, CLIs live in the terminal, it's a direct connection
That doesn't mean MCPs are dead. But for most use cases, if a CLI option exists, it's the better choice.
How Do You Install CLI Tools for Claude Code?
The pattern is almost always the same:
- Install the CLI tool on your machine (usually one or two terminal commands)
- Add a skill file so Claude Code knows how to use the tool properly (usually a one-liner from the repo's README)
- Start using it — Claude Code picks up the skill and runs with it
Or skip all that and just give Claude Code the repo URL. It will figure out the installation on its own.
FAQ
Do I need all 10 of these CLI tools?
No. Start with the ones that match what you actually do. If you build web apps, GitHub CLI, Vercel CLI, Supabase CLI, and Playwright CLI are your core stack. If you're more into content and research, NotebookLM CLI and FFmpeg are where you start. Add from there based on what you need.
Are CLI tools hard to set up?
Most of them are a two-step install. And honestly, you can just give Claude Code the repo URL and tell it to install the tool. It handles the rest. The skill files are usually a single copy-paste command.
Should I switch from MCPs to CLI tools?
If a CLI version exists for something you're currently using an MCP for, test the CLI version. In almost every case, it will be faster and use fewer tokens. The Playwright comparison is the clearest example — same functionality, 90K fewer tokens.
Can Claude Code install these tools on its own?
Yes. For most of these, you can point Claude Code at the repo or documentation and say "install this." It will handle the installation steps. You might need to do authentication (like with GitHub CLI), but the heavy lifting is on Claude Code.
What about security with tools like GWS?
Valid concern. Use sandboxing — shared folders, email filters, limited access. Google Workspace Armor adds prompt injection protection. You don't have to give Claude Code full access to everything. Start with a narrow scope and expand as you get comfortable.
If you want to go deeper into Claude Code CLI tools, join the free Chase AI community for templates, prompts, and live breakdowns. And if you're serious about building with AI, check out the paid community, Chase AI+, for hands-on guidance on how to make money with AI.
