WEBVTT 00:00:00.000 --> 00:00:02.680 Have you ever been sitting there with your AI? 00:00:02.819 --> 00:00:04.919 Maybe you're trying to get it to summarize a 00:00:04.919 --> 00:00:07.620 big file you just grabbed, or check the latest 00:00:07.620 --> 00:00:09.820 stock price. Oh, yeah. And then you just hit 00:00:09.820 --> 00:00:13.199 that wall, that familiar message, sorry, I can't 00:00:13.199 --> 00:00:16.059 access that, or I don't have live internet access. 00:00:16.399 --> 00:00:18.379 It's so frustrating. It really feels like you've 00:00:18.379 --> 00:00:21.120 got this brilliant mind, this amazing chef, but 00:00:21.120 --> 00:00:24.420 they're stuck behind a velvet rope. The AI is 00:00:24.420 --> 00:00:26.940 powerful, sure, but it's locked in. It can only 00:00:26.940 --> 00:00:29.059 work with the ingredients it already has. Basically, 00:00:29.219 --> 00:00:32.310 it's training data. Exactly. And well, for a 00:00:32.310 --> 00:00:34.570 while now, the big question has been, how do 00:00:34.570 --> 00:00:37.369 we give these models safe, reliable access to 00:00:37.369 --> 00:00:39.670 the real world? Not just searching, but actually 00:00:39.670 --> 00:00:42.109 using the tools we use every day. And that's 00:00:42.109 --> 00:00:44.250 precisely the problem the model context protocol 00:00:44.250 --> 00:00:47.670 MCP is trying to solve. Think of MCP as like 00:00:47.670 --> 00:00:49.929 the standard rule book for how the AI talks to 00:00:49.929 --> 00:00:52.869 your tools. It's like setting up a really disciplined, 00:00:52.990 --> 00:00:56.170 smart team of helpers for the AI. So today we're 00:00:56.170 --> 00:00:58.329 going to do a deep dive into this MCP standard. 00:00:58.600 --> 00:01:01.759 Anthropic introduced it back in late 2024. We 00:01:01.759 --> 00:01:03.759 want to unpack what it actually is, understand 00:01:03.759 --> 00:01:05.920 why having a standard like this makes the whole 00:01:05.920 --> 00:01:09.239 ecosystem, well, cleaner. Yeah, and we'll explore, 00:01:09.239 --> 00:01:12.540 what, 11 specific MCP servers, show you how they're 00:01:12.540 --> 00:01:14.739 already connecting AI directly to things like 00:01:14.739 --> 00:01:17.459 GitHub, Notion, even specialized web scraping 00:01:17.459 --> 00:01:19.659 tools. It's pretty cool stuff. OK, so let's break 00:01:19.659 --> 00:01:22.060 MCP down simply first. It's a standard, a set 00:01:22.060 --> 00:01:24.680 of rules, basically a common language so any 00:01:24.680 --> 00:01:27.480 AI model can talk to outside tools, APIs, data 00:01:27.480 --> 00:01:30.870 sources. safely. It's about standardizing integration. 00:01:31.430 --> 00:01:33.290 Right, and that standardization is for the whole 00:01:33.290 --> 00:01:36.109 ecosystem. Before this, think about it. If a 00:01:36.109 --> 00:01:38.129 company wanted their app to connect to an AI, 00:01:38.530 --> 00:01:41.329 they had to build a totally unique custom plugin 00:01:41.329 --> 00:01:44.579 for every single AI model out there. Which sounds 00:01:44.579 --> 00:01:46.159 like a nightmare. It was a logistical nightmare 00:01:46.159 --> 00:01:49.200 for developers. So now, with MCP, they build 00:01:49.200 --> 00:01:51.840 just one standard interface. Right. And any AI 00:01:51.840 --> 00:01:53.439 that understands the protocol can plug right 00:01:53.439 --> 00:01:55.659 in. OK, that makes sense. The complexity just 00:01:55.659 --> 00:01:57.700 kind of melts away. Tools don't need all these 00:01:57.700 --> 00:01:59.540 unique connections. They just follow the MCP 00:01:59.540 --> 00:02:02.140 rules. Much cleaner, way faster integration. 00:02:02.659 --> 00:02:04.859 And what's really interesting is that MCP doesn't 00:02:04.859 --> 00:02:07.920 care which AI you're using. Claude, Gemini, some 00:02:07.920 --> 00:02:11.259 open source model. If it speaks MCP, it connects 00:02:11.259 --> 00:02:14.219 to the same universe of tools. Hmm. OK. I see 00:02:14.219 --> 00:02:16.719 the benefit of being open. But is there a risk 00:02:16.719 --> 00:02:19.879 with standardization? Does focusing on one protocol 00:02:19.879 --> 00:02:23.060 maybe stifle innovation in what individual models 00:02:23.060 --> 00:02:25.740 could do, their unique capabilities? That's a 00:02:25.740 --> 00:02:28.020 fair point to raise. But I think the innovation 00:02:28.020 --> 00:02:29.979 really happens inside the servers themselves, 00:02:30.120 --> 00:02:32.180 not the protocol. The protocol is just the plumbing, 00:02:32.280 --> 00:02:34.840 right? The cool part is how scalable it is. You 00:02:34.840 --> 00:02:37.680 can run, like, dozens of these little MCP servers 00:02:37.680 --> 00:02:40.340 on your machine, giving the AI access to GitHub, 00:02:40.460 --> 00:02:42.419 Notion, a web browser, all at the same time. 00:02:42.719 --> 00:02:45.719 And you mentioned anyone can create an MCP server. 00:02:45.840 --> 00:02:48.500 What does that unlock for, say, internal company 00:02:48.500 --> 00:02:50.900 tools? Oh, it's huge. You can connect your AI 00:02:50.900 --> 00:02:53.219 not just to public stuff like GitHub, but to 00:02:53.219 --> 00:02:55.560 your company's private systems, internal databases, 00:02:55.719 --> 00:02:57.680 you name it. You build the server, you control 00:02:57.680 --> 00:03:01.129 the access. Right. So circling back to standardization 00:03:01.129 --> 00:03:04.050 being key, how much easier does this actually 00:03:04.050 --> 00:03:06.889 make things for the average user compared to 00:03:06.889 --> 00:03:09.389 those older plug -in systems that were tied to 00:03:09.389 --> 00:03:12.830 one specific AI? It simplifies things dramatically. 00:03:13.009 --> 00:03:15.469 It really does feel like just stacking Lego blocks 00:03:15.469 --> 00:03:18.370 of data together. Now, to actually use these 00:03:18.370 --> 00:03:20.689 servers, you need what's called a client program. 00:03:20.810 --> 00:03:22.710 That's the app where you're talking to the AI. 00:03:23.250 --> 00:03:25.289 Right now, the two main ones you'll see are... 00:03:25.370 --> 00:03:28.490 Cursor, that AI -focused code editor, and Claw 00:03:28.490 --> 00:03:30.969 Desktop, which is Anthropic's official app. OK, 00:03:30.969 --> 00:03:33.289 so the client is the interface where I type my 00:03:33.289 --> 00:03:35.930 prompts. But the MCP server itself is like a 00:03:35.930 --> 00:03:37.629 separate little program running quietly in the 00:03:37.629 --> 00:03:39.830 background. Exactly right. The client knows how 00:03:39.830 --> 00:03:42.110 to ask for information, and the MCP server knows 00:03:42.110 --> 00:03:44.770 how to go get it from GitHub, Notion, wherever, 00:03:45.229 --> 00:03:47.530 and bring it back in a way the AI can understand. 00:03:47.830 --> 00:03:49.990 And setting it up usually just involves editing 00:03:49.990 --> 00:03:53.009 a small config file. It could be mcp .json or 00:03:53.009 --> 00:03:55.639 claw .desktop .config .json. So you're essentially 00:03:55.639 --> 00:03:58.199 just telling the client app where to find that 00:03:58.199 --> 00:04:00.699 background server program, pretty much. And the 00:04:00.699 --> 00:04:02.599 setup code itself looks remarkably similar for 00:04:02.599 --> 00:04:04.479 almost all servers. You give it a name you'll 00:04:04.479 --> 00:04:07.139 recognize, like GitHub. Then you tell it the 00:04:07.139 --> 00:04:09.939 command to run, maybe npx or docker. You can 00:04:09.939 --> 00:04:12.400 add args, which are just extra instructions for 00:04:12.400 --> 00:04:14.960 that command. And then the really important part, 00:04:15.500 --> 00:04:19.680 the n section. Ah. and V, environment variables. 00:04:19.959 --> 00:04:22.839 That's where the secrets live, right? API keys, 00:04:23.480 --> 00:04:26.120 personal access tokens. You know, I have to admit, 00:04:26.240 --> 00:04:28.519 I still sometimes wrestle with the best way to 00:04:28.519 --> 00:04:31.120 manage API keys and environment variables securely. 00:04:31.439 --> 00:04:34.339 It always feels a little precarious. That's my 00:04:34.339 --> 00:04:37.129 vulnerability for the day. No, it's a comic feeling, 00:04:37.149 --> 00:04:39.790 definitely. But the end structure actually helps 00:04:39.790 --> 00:04:42.009 with that security concern. This is where you 00:04:42.009 --> 00:04:44.430 need to put those secrets. An API key is usually 00:04:44.430 --> 00:04:46.709 just that long string of characters giving access. 00:04:47.230 --> 00:04:49.509 But often, especially for things like GitHub, 00:04:49.870 --> 00:04:51.750 you'll use a personal access token or a PIDI. 00:04:52.069 --> 00:04:54.269 What's the difference with a PIDI? Why use that 00:04:54.269 --> 00:04:57.509 instead of just an API key? Well, a PIDI is often 00:04:57.509 --> 00:05:00.259 platform -specific, like for GitHub. But the 00:05:00.259 --> 00:05:02.879 key difference is scope. You can configure a 00:05:02.879 --> 00:05:05.980 Pada to have very limited permissions. Like, 00:05:06.019 --> 00:05:09.000 maybe can read issues, but absolutely cannot 00:05:09.000 --> 00:05:12.620 delete code. That Gulten limitation is a security 00:05:12.620 --> 00:05:15.600 win right there. Okay. So thinking about security, 00:05:16.019 --> 00:05:18.620 what's the biggest advantage of using that standard 00:05:18.620 --> 00:05:21.259 end field for these secrets rather than, I don't 00:05:21.259 --> 00:05:22.899 know, embedding them somewhere else in the config? 00:05:23.000 --> 00:05:24.899 It's about keeping them separate and contained. 00:05:25.459 --> 00:05:27.500 Secrets are safely compartmentalized, which... 00:05:28.030 --> 00:05:30.009 significantly limits the risk if something goes 00:05:30.009 --> 00:05:32.329 wrong elsewhere. All right, let's dive into some 00:05:32.329 --> 00:05:34.610 of the tools specifically for developers. There 00:05:34.610 --> 00:05:37.290 seem to be four key servers focusing on code, 00:05:37.569 --> 00:05:41.529 context, and operations or DevOps. Yeah, first 00:05:41.529 --> 00:05:44.529 up, the GitHub MCP server. This one's all about 00:05:44.529 --> 00:05:46.509 cutting down on that constant switching between 00:05:46.509 --> 00:05:49.470 your editor and the GitHub website. The AI can 00:05:49.470 --> 00:05:52.509 work directly with your repos, issues. pull requests. 00:05:52.709 --> 00:05:54.629 And the value isn't just looking at code, right? 00:05:54.670 --> 00:05:56.389 It's about taking action. You could literally 00:05:56.389 --> 00:05:59.350 tell the AI, hey, create a new issue in my awesome 00:05:59.350 --> 00:06:01.910 app repo, title it, add user auth and assign 00:06:01.910 --> 00:06:05.250 it to me, and poof, it happens. Exactly. It automates 00:06:05.250 --> 00:06:09.189 those little, tedious, but necessary tasks. Assigning 00:06:09.189 --> 00:06:12.069 reviewers, summarizing what changed in a complicated 00:06:12.069 --> 00:06:14.310 pull request, maybe even drafting release notes 00:06:14.310 --> 00:06:16.629 by looking at the commits. You stay right in 00:06:16.629 --> 00:06:18.939 your coding environment. OK, moving from writing 00:06:18.939 --> 00:06:21.139 code to actually running it, there's the Docker 00:06:21.139 --> 00:06:24.019 Hub MCP server. Docker, for anyone maybe not 00:06:24.019 --> 00:06:27.120 familiar, is that tool that packages apps into 00:06:27.120 --> 00:06:29.300 these things called containers. So they run the 00:06:29.300 --> 00:06:31.560 same way everywhere. Right. And this server lets 00:06:31.560 --> 00:06:34.459 the AI manage those containers. Think of it as 00:06:34.459 --> 00:06:36.860 smart automation for your operations. Instead 00:06:36.860 --> 00:06:39.220 of needing to remember those long, complex Docker 00:06:39.220 --> 00:06:41.860 commands, which portmaps to where, which image 00:06:41.860 --> 00:06:45.519 version to pull you, just ask the AI. Run a new 00:06:45.519 --> 00:06:48.500 Nginx web server container, call it mywebserver, 00:06:48.939 --> 00:06:51.939 and map port 8080 on my machine to port 80 inside 00:06:51.939 --> 00:06:54.959 the container. Precisely. The AI figures out 00:06:54.959 --> 00:06:57.779 the exact command and runs it for you. Super 00:06:57.779 --> 00:06:59.500 helpful for setting up consistent development 00:06:59.500 --> 00:07:01.879 environments without memorizing arcane commands. 00:07:02.800 --> 00:07:04.379 Now, this next one sounds really interesting, 00:07:04.560 --> 00:07:07.040 the context7 MCP server. You said it tackles 00:07:07.040 --> 00:07:09.819 the old code problem with AI. Yeah, this one 00:07:09.819 --> 00:07:11.740 hits close to home for a lot of developers, I 00:07:11.740 --> 00:07:14.399 think. How many times have you gotten code from 00:07:14.399 --> 00:07:18.259 an AI, a React hook, a Python function, only 00:07:18.259 --> 00:07:20.459 to find out it was outdated six months ago? It's 00:07:20.459 --> 00:07:23.459 a huge time sink. Tell me about it. Context 7 00:07:23.459 --> 00:07:25.939 aims to fix that. It makes sure the AI has the 00:07:25.939 --> 00:07:28.600 up -to -date documentation specifically to the 00:07:28.600 --> 00:07:30.240 exact version of the library you're actually 00:07:30.240 --> 00:07:32.379 using in your project right now. Whoa, okay, 00:07:32.420 --> 00:07:34.740 so it's not just general documentation lookup. 00:07:34.899 --> 00:07:38.660 It knows you're using, say, React 19 .0 .2, and 00:07:38.660 --> 00:07:40.800 it pulls docs relevant only to that version. 00:07:40.899 --> 00:07:43.199 That's the idea. It contextualizes the information 00:07:43.199 --> 00:07:45.680 to your specific environment, turns the AI from 00:07:45.680 --> 00:07:48.680 just a source of ideas into a genuinely accurate 00:07:48.680 --> 00:07:51.199 current collaborator. So if I ask for a React 00:07:51.199 --> 00:07:53.779 19 component using the new use hook... Context 00:07:53.779 --> 00:07:56.620 7 helps ensure the code you get is current and 00:07:56.620 --> 00:07:59.569 correct for React 19. less time debugging code 00:07:59.569 --> 00:08:01.870 that was based on old information. The code is 00:08:01.870 --> 00:08:03.970 more likely to just work. Okay, and the last 00:08:03.970 --> 00:08:06.029 one in this developer group is the Gibson AI 00:08:06.029 --> 00:08:09.449 MCP server for databases. Yeah, specifically 00:08:09.449 --> 00:08:12.610 for managing serverless SQL databases. The key 00:08:12.610 --> 00:08:15.529 here is that it gives the AI full context about 00:08:15.529 --> 00:08:18.370 your database schema. The tables, the columns, 00:08:18.550 --> 00:08:21.089 the relationships. It's not just guessing. So 00:08:21.089 --> 00:08:23.110 instead of just asking for generic SQL, I can 00:08:23.110 --> 00:08:25.829 say, design me a database schema for a blog, 00:08:26.009 --> 00:08:28.910 users, posts, comments, and it would know enough 00:08:28.910 --> 00:08:31.750 to generate actual, runnable SQL, including things 00:08:31.750 --> 00:08:34.409 like foreign keys. Exactly. Because Gibson AI 00:08:34.409 --> 00:08:36.389 feeds it the context of your existing database, 00:08:36.870 --> 00:08:38.850 or helps design a new one with proper structure, 00:08:39.529 --> 00:08:41.450 the SQL it generates is much more likely to be 00:08:41.450 --> 00:08:43.529 correct and optimized. It's context -aware development 00:08:43.529 --> 00:08:46.620 right in your IDE. Okay, thinking about these 00:08:46.620 --> 00:08:49.899 four, GitHub, Docker, Context 7, Gibson AI. Which 00:08:49.899 --> 00:08:51.460 one do you think offers the biggest potential 00:08:51.460 --> 00:08:54.139 time savings by cutting down on that manual context 00:08:54.139 --> 00:08:56.700 switching developers do all day? Hmm, that's 00:08:56.700 --> 00:08:59.679 tough. My gut reaction was Context 7 because 00:08:59.679 --> 00:09:02.419 fixing bugs generated by outdated AI suggestions 00:09:02.419 --> 00:09:05.960 takes so much time. But then again, GitHub lets 00:09:05.960 --> 00:09:08.440 you skip opening the browser entirely for issues, 00:09:08.639 --> 00:09:11.629 PRs, assignments. That's not just fixing a bug, 00:09:11.870 --> 00:09:14.529 that's eliminating a whole workflow step. Maybe 00:09:14.529 --> 00:09:17.110 GitHub. That's a really good point. GitHub tackles 00:09:17.110 --> 00:09:19.110 workflow friction, reducing the number of steps. 00:09:19.649 --> 00:09:22.269 Context7 tackles accuracy friction, reducing 00:09:22.269 --> 00:09:25.730 debugging time. Both huge time savers just attacking 00:09:25.730 --> 00:09:27.649 different parts of the problem. Okay, so we've 00:09:27.649 --> 00:09:30.309 covered how MCP can help with code. Now let's 00:09:30.309 --> 00:09:32.909 shift focus a bit to organization and collaboration. 00:09:33.389 --> 00:09:35.950 Moving beyond the code editor into tools like 00:09:35.950 --> 00:09:38.009 Notion and Figma. Yeah, let's start with a Notion 00:09:38.009 --> 00:09:40.370 MCP server. Notions become that all -in -one 00:09:40.370 --> 00:09:43.049 workspace for so many people, right? This server 00:09:43.049 --> 00:09:46.429 hooks the AI directly into Notions API. And the 00:09:46.429 --> 00:09:48.250 goal here is automating structure, it sounds 00:09:48.250 --> 00:09:50.289 like. So you could prompt the AI, maybe, create 00:09:50.289 --> 00:09:52.470 a new page in my meetings database, set the title, 00:09:52.690 --> 00:09:54.950 date attendees, and add a standard to -do list 00:09:54.950 --> 00:09:57.669 section. Exactly. And the AI handles actually 00:09:57.669 --> 00:10:00.009 creating the page, filling in the properties, 00:10:00.210 --> 00:10:02.809 adding the structured blocks. It helps automatically 00:10:02.809 --> 00:10:05.190 organize meeting notes, project plans, research, 00:10:05.610 --> 00:10:07.490 gets everything into the right place with the 00:10:07.490 --> 00:10:09.970 right tags. without you having to manually clean 00:10:09.970 --> 00:10:13.149 it up later. Okay, then moving over to design. 00:10:13.909 --> 00:10:17.490 The Figma MCP server. Figma's the standard for 00:10:17.490 --> 00:10:21.110 UI UX design. This server lets the AI actually 00:10:21.110 --> 00:10:23.490 read and understand the components within a Figma 00:10:23.490 --> 00:10:25.950 file. It does. And this is where you really see 00:10:25.950 --> 00:10:27.929 that gap between design and development starting 00:10:27.929 --> 00:10:32.009 to close. Imagine asking the AI. Find the primary 00:10:32.009 --> 00:10:34.529 button component in our design system file, tell 00:10:34.529 --> 00:10:37.049 me its color padding and font details, and then 00:10:37.049 --> 00:10:39.389 write the React code for it using styled components. 00:10:39.929 --> 00:10:42.090 So the AI isn't just spitting out generic button 00:10:42.090 --> 00:10:44.210 code, it's generating code that specifically 00:10:44.210 --> 00:10:46.309 matches the current design specs from Figma. 00:10:46.629 --> 00:10:49.250 Precisely. It's aiming for that one -step, design 00:10:49.250 --> 00:10:51.649 -to -code workflow. Think of the time that saves 00:10:51.649 --> 00:10:53.389 engineers trying to get things pixel -perfect 00:10:53.389 --> 00:10:55.870 according to the design. Definitely. Okay, and 00:10:55.870 --> 00:10:58.409 the last one in this group, browser -based MCP 00:10:58.409 --> 00:11:01.529 server. This one sounds a little different. It 00:11:01.529 --> 00:11:04.870 gives the AI control over a web browser, like 00:11:04.870 --> 00:11:07.730 a real browser in the cloud. Yeah, this one is 00:11:07.730 --> 00:11:10.929 pretty wild. It enables the AI to perform complex 00:11:10.929 --> 00:11:13.389 actions on websites that simple web scraping 00:11:13.389 --> 00:11:15.289 just can't handle. Right. We're talking about 00:11:15.289 --> 00:11:17.769 navigating through dynamic JavaScript -heavy 00:11:17.769 --> 00:11:20.909 sites, filling out multi -step forms, maybe even 00:11:20.909 --> 00:11:23.309 clicking through login pages or paywalls if needed. 00:11:23.450 --> 00:11:25.629 Wait, hold on. Browser -based lets the AI act 00:11:25.629 --> 00:11:28.279 like a user. log in, add things to a cart, submit 00:11:28.279 --> 00:11:30.779 forms. That's more than just data gathering. 00:11:30.899 --> 00:11:32.779 It really is. It's like giving the AI hands to 00:11:32.779 --> 00:11:35.080 interact with the web. Whoa. OK, imagine scaling 00:11:35.080 --> 00:11:37.799 that. Using automated browsing to track like 00:11:37.799 --> 00:11:40.240 a billion competitor price changes in real time 00:11:40.240 --> 00:11:43.240 or automatically testing every single user journey 00:11:43.240 --> 00:11:45.879 through your web app simultaneously. The potential 00:11:45.879 --> 00:11:48.340 scale is mind boggling. It's incredibly powerful, 00:11:48.600 --> 00:11:50.620 absolutely. And that power definitely comes with 00:11:50.620 --> 00:11:53.639 a need for responsible use. Right. So given how 00:11:53.639 --> 00:11:56.360 powerful browser base is, letting AI automate 00:11:56.360 --> 00:11:58.960 these complex web interactions, what's the really 00:11:58.960 --> 00:12:01.159 critical ethical consideration that jumps out? 00:12:01.419 --> 00:12:03.820 You absolutely have to stick to ethical data 00:12:03.820 --> 00:12:06.519 -scratching practices and respect website terms 00:12:06.519 --> 00:12:09.179 of service. Don't automate interactions that 00:12:09.179 --> 00:12:12.320 are explicitly forbidden. OK, let's wrap up with 00:12:12.320 --> 00:12:14.899 the last few specialized servers. These focus 00:12:14.899 --> 00:12:18.629 more on real -time data and... structured thinking. 00:12:19.029 --> 00:12:21.870 First is the Breakdata MCP server. This one's 00:12:21.870 --> 00:12:24.830 about getting live public web data into the AI. 00:12:25.029 --> 00:12:26.970 This sounds like how you break free from the 00:12:26.970 --> 00:12:29.289 AI's static training data, right? You could ask 00:12:29.289 --> 00:12:31.850 it. Use Breakdata, go to Yahoo Finance, and tell 00:12:31.850 --> 00:12:34.009 me Apple's current stock price and market cap. 00:12:34.350 --> 00:12:37.370 Exactly. The AI uses Breakdata to fetch that 00:12:37.370 --> 00:12:39.110 real -time info and give you the current answer. 00:12:39.610 --> 00:12:41.470 Super useful for tracking markets, comparing 00:12:41.470 --> 00:12:43.549 competitor prices live, things like that. Then 00:12:43.549 --> 00:12:45.690 there's one called a sequential thinking MCP 00:12:45.690 --> 00:12:47.889 server. You mentioned this one is popular. It 00:12:47.889 --> 00:12:50.509 forces the AI to think step by step. Yeah, this 00:12:50.509 --> 00:12:52.889 one's fascinating from an AI reasoning perspective. 00:12:53.649 --> 00:12:56.289 It essentially makes the AI outline its thought 00:12:56.289 --> 00:12:59.509 process for complex problems. Instead of just 00:12:59.509 --> 00:13:02.070 jumping to an answer, it has to lay out the logical 00:13:02.070 --> 00:13:04.309 steps it took to get there. So it adds a layer 00:13:04.309 --> 00:13:07.169 of rigor. helps with planning or breaking down 00:13:07.169 --> 00:13:09.470 complex problems. And you can actually see how 00:13:09.470 --> 00:13:12.009 the AI arrived at its conclusion, like showing 00:13:12.009 --> 00:13:14.629 its work on a math problem. That's a great analogy. 00:13:14.850 --> 00:13:17.490 It enforces a certain discipline on the AI's 00:13:17.490 --> 00:13:19.529 output. You're not just getting a final answer. 00:13:19.529 --> 00:13:21.590 You're getting a checkable chain of reasoning, 00:13:22.110 --> 00:13:24.210 which honestly can really increase your trust 00:13:24.210 --> 00:13:26.429 in the outcome, especially for complicated tasks. 00:13:26.710 --> 00:13:29.110 OK, that makes sense. So does this sequential 00:13:29.110 --> 00:13:31.909 thinking server actually make the AI fundamentally 00:13:31.909 --> 00:13:35.360 smarter, or is it more about making it more disciplined 00:13:35.360 --> 00:13:37.960 and transparent in how it works. It's much more 00:13:37.960 --> 00:13:39.720 about enforcing discipline and transparency. 00:13:40.120 --> 00:13:42.960 It lets you, the user, verify the logical path 00:13:42.960 --> 00:13:45.860 the AI took. Got it. And finally, there are a 00:13:45.860 --> 00:13:47.700 couple focused on communities and communication, 00:13:48.120 --> 00:13:51.480 the Reddit MCP server and the Discord MCP server. 00:13:52.100 --> 00:13:54.460 The Reddit one lets the AI analyze subreddits, 00:13:54.460 --> 00:13:56.279 you could ask it, to find emerging trends in 00:13:56.279 --> 00:13:58.980 a specific community, gauge sentiment on a topic, 00:13:59.259 --> 00:14:01.639 or do quick market research without manually 00:14:01.639 --> 00:14:04.940 reading thousands of posts. And Discord, similar 00:14:04.940 --> 00:14:07.759 idea, but for team communication. Yeah, summarizing 00:14:07.759 --> 00:14:10.620 long conversations in your team's channels, maybe 00:14:10.620 --> 00:14:12.399 identifying action items that were discussed. 00:14:12.809 --> 00:14:15.049 Both are really about distilling insights from 00:14:15.049 --> 00:14:18.049 large volumes of conversational text. So wrapping 00:14:18.049 --> 00:14:20.450 this all up, the big idea with the model context 00:14:20.450 --> 00:14:22.929 protocol isn't just some minor update. It feels 00:14:22.929 --> 00:14:24.909 more like a fundamental shift in architecture. 00:14:25.070 --> 00:14:27.429 I think so too. It gives us a simple standard 00:14:27.429 --> 00:14:30.269 way to plug all these real world tools directly 00:14:30.269 --> 00:14:33.720 into our AI models. And the simplicity really 00:14:33.720 --> 00:14:35.919 is key. You figure out how to set up one server, 00:14:36.019 --> 00:14:38.879 get your API key or PAT sorted, and then adding 00:14:38.879 --> 00:14:41.580 more skills, more tools becomes really easy. 00:14:41.779 --> 00:14:44.559 It genuinely transforms the AI from that smart 00:14:44.559 --> 00:14:47.360 but isolated chef into a fully integrated assistant 00:14:47.360 --> 00:14:49.460 that can use all your other tools. It builds 00:14:49.460 --> 00:14:51.779 a more dynamic workflow, doesn't it? Makes the 00:14:51.779 --> 00:14:54.000 AI actually part of your whole process, not just 00:14:54.000 --> 00:14:55.700 the separate thing you consult occasionally. 00:14:55.919 --> 00:14:58.460 Exactly. You're combining the AI's brainpower 00:14:58.460 --> 00:15:01.139 with the real -time capabilities of your specialized 00:15:01.100 --> 00:15:04.600 tools. Best of both worlds. So here's a thought 00:15:04.600 --> 00:15:07.899 to leave you with. If AI can truly seamlessly 00:15:07.899 --> 00:15:10.320 access and act on all your tools, your code on 00:15:10.320 --> 00:15:12.860 GitHub, your designs in Figma, your notes in 00:15:12.860 --> 00:15:15.399 Notion, your team chat in Discord, does that 00:15:15.399 --> 00:15:17.200 constant friction of switching between apps, 00:15:17.320 --> 00:15:19.200 that endless alt -tabbing, does that finally 00:15:19.200 --> 00:15:22.059 start to disappear? MCP certainly points towards 00:15:22.059 --> 00:15:24.110 that future. So maybe the place to start is to 00:15:24.110 --> 00:15:26.629 just pick one server. Find one that tackles a 00:15:26.629 --> 00:15:29.450 daily annoyance you have. Maybe it is the Notion 00:15:29.450 --> 00:15:31.870 server for organizing notes or Context 7 if you're 00:15:31.870 --> 00:15:34.029 a developer tired of outdated code suggestions. 00:15:34.710 --> 00:15:37.389 Give it a try. Explore the setup. You might be 00:15:37.389 --> 00:15:39.509 surprised how much more useful your AI becomes 00:15:39.509 --> 00:15:40.269 almost immediately.