내가 사용해 본 가장 유용한 MCP 서버 😎

Summary

In this engaging video, Nomad Coders introduces Taskmaster AI, a revolutionary MCP server designed to transform your code editor into an AI project manager. Taskmaster, being free and open-source, addresses common AI limitations by providing detailed context and breaking down projects into manageable tasks. The tutorial walks through the installation and configuration process, emphasizing the importance of thorough project documentation (Product Requirements Document) to maximize Taskmaster's efficiency. This innovative tool boosts productivity and project planning, making development a more streamlined and motivating experience.

Highlights

• Taskmaster AI transforms code editors into project managers. 🎛️
• Free and open-source, it helps avoid common AI hallucinations. 🤖
• Introduces detailed project management, breaking down tasks effectively. 📋
• Provides clear instructions for AI, enhancing task completions. ✅
• Offers a motivating project progress view, keeping developers engaged. 🚀

Key Takeaways

• Taskmaster is a free, open-source MCP server that turns your code editor into an AI project manager. 🚀
• It solves common AI problems like hallucinations and lack of context by providing detailed project instructions. 📜
• The Taskmaster generates specific, detailed tasks, making project management easy and efficient. ✅
• By breaking projects into smaller tasks, Taskmaster keeps developers motivated with visible progress bars. 📈
• The use of Taskmaster and Super Plate streamlines the coding process, letting you focus on creative development. 🎨

Overview

In this eye-opening tutorial, Nomad Coders unveils Taskmaster AI, a cutting-edge MCP server that revolutionizes how developers interact with their code editors. By converting editors like VS Code and Cursor into AI-enhanced project managers, Taskmaster helps streamline the coding process, offering developers a chance to focus more on creativity while automating tedious planning tasks.

The video dives into the nitty-gritty of how Taskmaster works, showcasing its ability to prevent common AI pitfalls such as 'hallucinations' and inadequate context comprehension. With its ability to dissect projects into smaller, manageable tasks, Taskmaster provides clear and detailed instructions, ensuring each AI task is completed accurately and efficiently without redundant efforts or errors.

Viewers will discover how Taskmaster, in combination with Super Plate, forms an unbeatable duo, optimizing the coding workflow from inception to completion. This synergy allows developers to bypass mundane coding start-up requirements, powering through projects with clear guidelines and visible progress, turning what seems like a monumental task into a rewarding journey of incremental triumphs.

Chapters

• 00:00 - 00:30: Introduction to Taskmaster AI The chapter introduces Taskmaster AI, an MCP server designed to convert code editors such as Cursor, Windsurf, and VS Code into AI-powered project managers. The discussion includes an overview of the server's free and open-source nature and outlines the objectives of demonstrating its use, functionality, and setup. Taskmaster AI addresses common issues associated with AI usage, such as hallucinations, unnecessary code modifications, failure to reuse existing code, unwarranted reinvention, and inappropriate library usage.
• 00:30 - 01:00: Solving AI Context Problems The chapter 'Solving AI Context Problems' delves into the significance of providing adequate context to AI models to improve their performance. It emphasizes that AI models can only produce good results when given detailed and clear instructions. The chapter suggests that a well-constructed prompt, which includes detailed information about the task, the desired features, implementation details, and expected outcomes, is crucial for achieving effective results with AI models. However, it also acknowledges that developers often prefer coding over spending time on writing comprehensive prompts.
• 01:00 - 01:30: Taskmaster's Project Planning Taskmaster's Project Planning introduces the role of Taskmaster in efficiently handling project workflows. Taskmaster serves as a project manager that takes project ideas and divides them into smaller, manageable tasks. It prioritizes tasks, analyzes their complexities, and further breaks down large tasks. Additionally, Taskmaster identifies task dependencies, highlighting blocked tasks and advising on which tasks to focus on next. This system aids in solving the context problem by providing detailed instructions for each task, optimizing project execution.
• 01:30 - 02:00: Benefits of Proper Planning The chapter 'Benefits of Proper Planning' highlights the advantages of a structured approach in managing tasks using AI. It emphasizes the effectiveness of the Taskmaster task format, noting its ability to execute tasks flawlessly on the first attempt, described as 'zero shots.' The process involves having a project manager (PM) decompose complex ideas into smaller, manageable tasks, thereby facilitating project tracking and progress assessment. This approach ensures clarity in execution and efficient monitoring of progress throughout the project's lifecycle.
• 02:00 - 02:30: Setting Up Taskmaster The chapter titled 'Setting Up Taskmaster' discusses the importance of planning before starting a development project. It emphasizes that while developers often rush into coding, taking time to plan can result in greater long-term success. This is compared to sharpening an axe before chopping a tree, as stated by Abraham Lincoln. The chapter then shifts to a practical guide, demonstrating how to install the Taskmaster MCP server and initialize it within a project, using an example project called 'my awesome SAS.'
• 02:30 - 03:00: Overview of Super Plate This chapter introduces Super Plate, a pre-configured code template that assists developers in quickly setting up their projects. It explains that Super Plate comes with foundational features such as login and registration systems, email verification, password recovery, dark mode, translation capabilities, and more pre-installed, allowing developers to concentrate primarily on developing their unique ideas without spending time on these essential yet routine functionalities.
• 03:00 - 03:30: Installing Taskmaster Server The chapter begins by listing several features supported by the Taskmaster server, including uploads, payments, testing, analytics, channel communication, and email handling. The server is built using Superbase, Remix, Chat, Tailwind CSS, TypeScript, and other high-quality packages known for creating production-ready applications with excellent performance and aesthetics.
• 03:30 - 04:30: Creating and Using PRD In 'Creating and Using PRD', the focus is on setting up and utilizing the Taskmaster server within an MCP (multi-channel processing) environment. The chapter guides you through accessing MCP settings in a code editor, adding the Taskmaster server to the list of MCP servers, and configuring the necessary API keys for reasoning and research tasks around task complexity. Following these steps, you can initiate the Taskmaster by enabling it in MCP settings and interacting via a chat window with the editor agent.
• 04:30 - 05:00: Managing Tasks with Taskmaster This chapter discusses the use of Taskmaster, a tool for managing tasks. It explains the setup process, which involves creating a tasks folder and necessary configuration and rule files. An example Product Requirements Document (PRD), found in the scripts folder, is described as essential for Taskmaster to generate tasks. Users have the option to create a PRD manually or have AI assist them by providing a template and guiding them through necessary questions.
• 05:00 - 06:00: Complexity Analysis of Tasks The chapter titled 'Complexity Analysis of Tasks' discusses the importance of being specific about the project details and features in a Product Requirements Document (PRD). It mentions storing the PRD in a specific folder and using AI for parsing it to generate task lists. The text suggests managing tasks via a chat window or using a command-line interface (CLI) for quicker task management and visualization, particularly recommending the Taskmaster CLI.
• 06:00 - 07:00: Working with Subtasks The chapter titled 'Working with Subtasks' discusses the process of visualizing and managing tasks using a tool called Taskmaster. Initially, the chapter explains the setup process that involves installing the tool and configuring it with API keys. Once set up, users can leverage a command called 'taskmaster list' to view a comprehensive dashboard displaying project progress, tasks, their statuses, priorities, and dependencies. This dashboard aids users in understanding the current state of a project. Additionally, the command 'taskmaster next' is introduced, which helps users identify the next task to address, providing details necessary for implementation. Users sometimes copy these implementation details to share via chat windows for collaboration.
• 07:00 - 08:00: Conclusion and Cost In the 'Conclusion and Cost' chapter, the author discusses the potential for AI-driven systems to automate various tasks. While it's possible to let AI handle all the work, the author does not recommend it. The focus shifts to the next task, which is authentication, but it is quickly resolved due to the use of a tool called Super Plate. This tool simplifies processes, allowing for quick completion of tasks. Additionally, the text mentions the use of a service called taskmaster, which can update task statuses or break down complex tasks into manageable pieces. These capabilities emphasize the convenience and efficiency brought by integrated systems.

내가 사용해 본 가장 유용한 MCP 서버 😎 Transcription

• 00:00 - 00:30 Taskmaster AI is an MCP server that turns your code editor, whether it's Cursor, Windsurf, or VS Code, into an AI project manager. And since it is free and open source, today I'm going to show you how to use it, how it works, and how to set it up. Taskmaster fixes the problem that many of us have faced when asking an AI to do something for us. Sometimes it hallucinates like crazy. It modifies code that shouldn't be modified. It doesn't reuse existing code. It tries to reinvent the wheel, uses libraries it shouldn't use, and so
• 00:30 - 01:00 on. Basically, it doesn't follow instructions correctly. The solution to all of those problems is just one word, context. AI models are as good as the context you give them. The more context you give them, the better results they produce. That means that whenever there is a task you want to complete using an AI, you should write a very detailed prompt that explains the feature you want to add, how it should be implemented, what the expected output should be, and so on. But let's be real, most of us prefer spending time coding than writing prompts. That is when
• 01:00 - 01:30 Taskmaster comes in. Taskmaster will take your project idea and as a good PM, it will divide the project into smaller tasks. It will prioritize them. It will research them to understand their complexity and it will even break down big tasks into smaller ones for you. It will also show you which tasks are blocked by other tasks and which task you should focus on next. This is great for two reasons. First, it solves the context problem. Taskmaster will generate a very specific and detailed set of instructions for every task in
• 01:30 - 02:00 your project. So, the AI will know exactly what to do, how to do it, and what a complete task looks like. The Taskmaster task format is so effective that I have seen people take a task, give it to Corser or Windsorf and watch as it zero shots the task. It completes the task on its first try without any corrections. And second, it really helps have a PM break down your idea into smaller tasks and basically plan the project for you before starting to code. This way you can track your progress.
• 02:00 - 02:30 You know what to work on next and you can get motivated to finish the project as you see the completion bar grow. Planning is something that most of us developers don't do because we want to get started coding as fast as possible. But it is something that definitely pays off in the long run. Give me 6 hours to chop down a tree and I will spend the first four sharpening the axe, said Abraham Lincoln and no developer ever. Now, let me show you how to install the Taskmaster MCP server and how to initialize it in your project. Here I have an example project called my awesome SAS that isn't completely empty.
• 02:30 - 03:00 It already has some files in it. So, let me explain why. This project was created using Super Plate. Super plate is a boilerplate, a code template to help developers build and finish their projects faster. Super plate is a starting point for your project that comes with all the boring stuff already set up for you. So when you create a project, you can focus on just building your idea. Boring stuff means features like login, register, email verification, forgot password, dark mode, translations, terms of service pages, a blog, user profiles, avatar
• 03:00 - 03:30 uploads, to payments, testing, analytics, channel talk, emails, and more. It uses a superbase, remix, chat, tailwind CSS and TypeScript and a bunch of other really highquality packages that allow you to build productionready apps that look and perform great. You can check it out at superaplate.com or by clicking the link in the description after you watch this video. Now, let's get started with Taskmaster. First, we need to install the Taskmaster MCP server. If you don't know what MCP servers are, please check this related
• 03:30 - 04:00 video where I explain all about them. After going to the MCP settings in your code editor and opening the MCP config file, we need to add the Taskmaster server to the list of MCP servers. Taskmaster needs the anthropic API key so it can use cloth for reasoning and optionally one for perplexity, geminy or openAI. So it can research tasks when trying to figure out their complexity. After the server is installed and we can see it enabled in the MCP settings, we can open the chat window and ask the editor agent to initialize task master.
• 04:00 - 04:30 That will create a tasks folder, configuration files for taskmaster and rule files for the editor agent. In one folder called scripts, you will find a file called example prdxt. prd means product requirements document. It is a document that describes the product you want to build. It is what taskmaster uses so it can generate a list of tasks for you. You can create a PRD by yourself or you can ask the AI to use the template in the example PRD and ask you all the questions to fill it up. This part is
• 04:30 - 05:00 very important that you need to be very specific about what you want to build and how each feature of the project should work. The resulting PRD should be inside of the scripts folder and it should be named PRD.txt. After you're done, you can ask the AI to parse the PRD and it will generate a list of tasks for you. You can now manage your tasks from the chat window if you want. But I am a console guy and it takes less time to write a command than to write a message. So I will install the Taskmaster CLI so I can visualize and manage tasks. With the CLI
• 05:00 - 05:30 installed, after adding the API keys to the EMB file, I can now visualize my tasks running taskmaster list. Here we will see a dashboard with the progress of the project, the list of tasks, their status, priority, dependencies, and more. We can see what is the next task to work on by using task master next. That will show us the information about the task including the implementation details. Here is where I've seen people copy the implementation details and paste them in the chat window and let
• 05:30 - 06:00 the AI do all the work. I don't recommend it, but you could do it. As you can see, the next task I should work on is the authentication task. Thankfully, because I'm using Super Plate, that is already done for me. So, I can mark the task as done using taskmaster set status with the task ID or since we also have the MCP server installed, you can ask the chat window to do it for you. The coolest thing in my opinion is that the taskmaster can take complex tasks and break them down into smaller ones. Let's see how that works. With the command, the taskmaster
• 06:00 - 06:30 analyze complexity. Taskmaster will take each task and estimate its complexity using AI. Once that's done, you can run the taskmaster complexity report where you will see a list of tasks sorted by complexity and a suggestion of how many subtasks you should create for each one. If you aren't happy with the results, you can run taskmaster analyze complexity dash research to generate a new complexity report, but this time using research mode that is a bit more accurate estimating the complexity of
• 06:30 - 07:00 the tasks and suggesting a better number of subtasks. To use research mode, you need to provide a perplexity gemini or open key. If we are happy with the new report, we can expand a task into subtasks using the command taskmaster expand with the task ID or we can run taskmaster expand-all to expand all tasks. Once that is done, we can run taskmaster next again to see the next task we should work on divided into subtasks. We can run taskmaster show with the subtask ID
• 07:00 - 07:30 to see the implementation details for that subtask that we can send over to the AI if we want. And that's it. Once you get into the flow of looking at the next task, getting the subtasks, and implementing one by one, you will be surprised at how fast you can finish your projects and how awesome it feels to have a progress bar filling up. It may not look like much, but trust me, having a project divided like this makes it way easier to finish and to keep yourself motivated. Because subtasks are so small, I have found myself wanting to
• 07:30 - 08:00 implement just one more and then another and another and another and before I know it, I finished the task. You can see each task as well as their subtasks in the tasks folder if you want to see them as plain text files. And because they're almost like a set of instructions, you can use them in the chat window to give all the context the AI needs to help you better complete the task. And that's it. Now you have your own AI project manager. How cool is that? For your reference, everything that I've shown you in this video, parsing the PRD, generating the tasks,
• 08:00 - 08:30 making two complexity reports, researching, expanding the tasks, and so on, cost me 60 cents in entropic credits and 5 cents in perplexity credits. Thank you for watching. Let me know in the comments what do you think about Taskmaster. And check out the super plate if you want to avoid building the boring stuff and you want to finish your idea in record time. [Music]