Загрузка видео...

Не удалось загрузить видео

Возникла проблема при загрузке этого видео. Это может быть связано с временными проблемами сети или видео может быть недоступно.

На главную

Those MCP totally 10x my Cursor workflow… - It reads my browser console / network log - It use Replicate to generate UI assets - It reads my supabase & figma ... Here I shared some of my fav MCP & how to install them, As well as the... show more

Jason Zhou

31,712 subscribers

287,775 просмотров • 1 год назад •via X (Twitter)

Наука и технологии Образование

Anya Rossi• Live Now

Private livecam show

Комментарии: 11

Фото профиля Ted Werbel

Ted Werbel1 год назад

@cursor_ai Ayyye great to see that BrowserTools made the list 🔥 Just launched it last week - feel free to lmk if you have any feedback / ideas to make it better!

Фото профиля Tembo - Multi-Workload Managed Postgres

Tembo - Multi-Workload Managed Postgres2 лет назад

It’d be cool if someone would make a specialized stack for each Postgres use case, with nice docs, perf comparisons, tutorials, etc - so you don’t have to leave Postgres :)

Фото профиля Tejas Rane

Tejas Rane1 год назад

@cursor_ai I tried connecting supabase mcp to cursor, but it doesnt retrieve edge function logs. any way to do that?

Фото профиля Tristan Rhodes

Tristan Rhodes1 год назад

@cursor_ai Amazing stuff. The @replicate connection is such a good idea.

Фото профиля Emily Lai

Emily Lai1 год назад

@cursor_ai woah how’d you film and edit this?

Фото профиля Jason Zhou

Jason Zhou1 год назад

@cursor_ai descript :)

Фото профиля Rachit Plah

Rachit Plah1 год назад

@cursor_ai What do u think of composio use case then . is mcp standard for integrations ?

Фото профиля Luis C

Luis C1 год назад

@cursor_ai awesome video as always

Фото профиля Salman

Salman1 год назад

Internet gold.

Фото профиля Josh Robinson

Josh Robinson1 год назад

@cursor_ai How expensive is it?

Фото профиля 🐧 lalo adrian morales 𝕏

🐧 lalo adrian morales 𝕏1 год назад

@cursor_ai mcp is the way.

Похожие видео

I've been using Playwright MCP in my coding workflow for 2 use cases: 1. Cursor Self-iterate UI 2. AI-driven test automation With the recent image support, it is getting even better. ------ Here is how I do it: 0:00 Playwright intro 2:43 My Setup 6:00 Use case 1: Iterate UI 7:20 Use case 2: Automated testing If you want to learn AI coding beyond basics, Join AI Builder Club where I post tips weekly:

I've been using Playwright MCP in my coding workflow for 2 use cases: 1. Cursor Self-iterate UI 2. AI-driven test automation With the recent image support, it is getting even better. ------ Here is how I do it: 0:00 Playwright intro 2:43 My Setup 6:00 Use case 1: Iterate UI 7:20 Use case 2: Automated testing If you want to learn AI coding beyond basics, Join AI Builder Club where I post tips weekly:

Jason Zhou

21,886 просмотров • 1 год назад

X just made itself plug straight into AI tools with MCP servers. Your agents can now search and post on X directly. Not only read about it. Grok Build, Cursor, Claude, VS Code. All in. What you get: * X MCP; search posts, trends, bookmarks, even publish Articles * Docs MCP; API docs inside your workflow, no tab switching Setup is straightforward: * Go to create an X app * Enable OAuth 2.0; required for authentication * Add redirect URI; * Copy your CLIENT_ID and CLIENT_SECRET * Plug those into your MCP client or config * Run the setup commands; connect X MCP and Docs MCP * Log in once via browser; approve access * Verify; run grok mcp doctor xapi and grok mcp list Log in once. Done. Your workflow now includes X itself. X

X just made itself plug straight into AI tools with MCP servers. Your agents can now search and post on X directly. Not only read about it. Grok Build, Cursor, Claude, VS Code. All in. What you get: * X MCP; search posts, trends, bookmarks, even publish Articles * Docs MCP; API docs inside your workflow, no tab switching Setup is straightforward: * Go to create an X app * Enable OAuth 2.0; required for authentication * Add redirect URI; * Copy your CLIENT_ID and CLIENT_SECRET * Plug those into your MCP client or config * Run the setup commands; connect X MCP and Docs MCP * Log in once via browser; approve access * Verify; run grok mcp doctor xapi and grok mcp list Log in once. Done. Your workflow now includes X itself. X

Mario Nawfal

59,976 просмотров • 12 дней назад

Today I learned how to connect Cursor to Figma through the free MCP plugin. It's so dope! For example, It copied my existing designs and translated them to Spanish in minutes.

Today I learned how to connect Cursor to Figma through the free MCP plugin. It's so dope! For example, It copied my existing designs and translated them to Spanish in minutes.

Anton Guk

45,307 просмотров • 4 месяцев назад

How to add Chrome DevTools MCP to Claude Code (Bookmark this post to follow the setup later) This lets Claude debug your web apps in a real browser... performance traces, network inspection, console errors. Requirements: - Node.js 22+ - Chrome browser In the video below I show you: - How to install the MCP server - How to verify the DevTools tools are available - How to use it with a real performance trace

How to add Chrome DevTools MCP to Claude Code (Bookmark this post to follow the setup later) This lets Claude debug your web apps in a real browser... performance traces, network inspection, console errors. Requirements: - Node.js 22+ - Chrome browser In the video below I show you: - How to install the MCP server - How to verify the DevTools tools are available - How to use it with a real performance trace

Daniel San

52,294 просмотров • 9 месяцев назад

Write 100x better code using AI (for free!) Install the Codacy extension (VSCode, Cursor, WindSurf). This will install an MCP Server locally on your computer. Your coding copilot will use this server with the Codacy CLI to check every line of code it generates. The way this works is pretty awesome (assuming you are using Cursor): 1. You ask Cursor to generate some code 2. Cursor writes the code 3. Cursor then calls Codacy's MCP Server to check it 4. The MCP Server will use the Codacy CLI to find any issues 5. Cursor will fix the issues and call the MCP server again 6. When the code passes all checks, you are done Level of effort on your side: literally zero! Code quality and security because of this: 100x better! Codacy has been doing this for a long, long time, and their Guardrails MCP Server checks for a lot of potential issues: • Security issues • Quality standards • Pattern violations • Linting issues You can see more information about the extension here: I recorded a quick video to show you how it works. Thanks to the Codacy team for helping me set up everything, answering my 1,000 questions, and collaborating with me on this post.

Write 100x better code using AI (for free!) Install the Codacy extension (VSCode, Cursor, WindSurf). This will install an MCP Server locally on your computer. Your coding copilot will use this server with the Codacy CLI to check every line of code it generates. The way this works is pretty awesome (assuming you are using Cursor): 1. You ask Cursor to generate some code 2. Cursor writes the code 3. Cursor then calls Codacy's MCP Server to check it 4. The MCP Server will use the Codacy CLI to find any issues 5. Cursor will fix the issues and call the MCP server again 6. When the code passes all checks, you are done Level of effort on your side: literally zero! Code quality and security because of this: 100x better! Codacy has been doing this for a long, long time, and their Guardrails MCP Server checks for a lot of potential issues: • Security issues • Quality standards • Pattern violations • Linting issues You can see more information about the extension here: I recorded a quick video to show you how it works. Thanks to the Codacy team for helping me set up everything, answering my 1,000 questions, and collaborating with me on this post.

Santiago

63,262 просмотров • 1 год назад

Built an iOS app to track my 2026 daily goals. Used it as an excuse to switch up my workflow (Claude CLI + Figma MCP + Conductor instead of Cursor) and play around with some novel interaction patterns and sound design. Some learnings:

Built an iOS app to track my 2026 daily goals. Used it as an excuse to switch up my workflow (Claude CLI + Figma MCP + Conductor instead of Cursor) and play around with some novel interaction patterns and sound design. Some learnings:

Jeff Smith

49,821 просмотров • 6 месяцев назад

I just created my own MCP server! It connects to Cursor and lets it perform deep web searches, as well as RAG over a specified directory. 100% open-source code with a step-by-step guide:

I just created my own MCP server! It connects to Cursor and lets it perform deep web searches, as well as RAG over a specified directory. 100% open-source code with a step-by-step guide:

Akshay 🚀

123,052 просмотров • 1 год назад

I put ElevenLabs Conversational AI on a Raspberry Pi to build my very own multilingual, MCP-connected Alexa clone! Here is how it works 🧵👇

I put ElevenLabs Conversational AI on a Raspberry Pi to build my very own multilingual, MCP-connected Alexa clone! Here is how it works 🧵👇

Thor 雷神 ⚡️

28,639 просмотров • 1 год назад

Wanted to learn more about MCPs this weekend. So I built this mini-tool called Here is how it works: 1️⃣ Tell the AI what you want. 2️⃣ It creates an MCP server with various tools. 3️⃣ Talk with AI to add/remove/modify these tools. 4️⃣ Click on Deploy and get your own MCP Server URL. You can directly use in url in Cursor / Claude Desktop or anywhere you want. Completely powered by Cloudflare Developers Durable Objects + Workers for Platforms

Wanted to learn more about MCPs this weekend. So I built this mini-tool called Here is how it works: 1️⃣ Tell the AI what you want. 2️⃣ It creates an MCP server with various tools. 3️⃣ Talk with AI to add/remove/modify these tools. 4️⃣ Click on Deploy and get your own MCP Server URL. You can directly use in url in Cursor / Claude Desktop or anywhere you want. Completely powered by Cloudflare Developers Durable Objects + Workers for Platforms

Bhanu Teja P

108,366 просмотров • 1 год назад

⚡day 5 of launch week: from (zero) MCP server to ChatGPT app this is peak developer experience 🤌🏼 1. define your UI in a single react file. 2. test it instantly with hot reload in the built-in Inspector 3. deploy it in one click on mcp-use Cloud 4. ship it directly to ChatGPT with: npx create-mcp-use-app@latest my-server --template apps-sdk you can go from zero to a deployed mcp server with apps sdk widgets in just 5 minutes here's how 🧵

⚡day 5 of launch week: from (zero) MCP server to ChatGPT app this is peak developer experience 🤌🏼 1. define your UI in a single react file. 2. test it instantly with hot reload in the built-in Inspector 3. deploy it in one click on mcp-use Cloud 4. ship it directly to ChatGPT with: npx create-mcp-use-app@latest my-server --template apps-sdk you can go from zero to a deployed mcp server with apps sdk widgets in just 5 minutes here's how 🧵

pederzh

22,647 просмотров • 8 месяцев назад

New course: MCP: Build Rich-Context AI Apps with Anthropic. Learn to build AI apps that access tools, data, and prompts using the Model Context Protocol in this short course, created in partnership with Anthropic Anthropic and taught by Elie Schoppik Elie Schoppik, its Head of Technical Education. Connecting AI applications to external systems that bring rich context to LLM-based applications has often meant writing custom integrations for each use case. MCP is an open protocol that standardizes how LLMs access tools, data, and prompts from external sources, and simplifies how you provide context to your LLM-based applications. For example, you can provide context via third-party tools that let your LLM make API calls to search the web, access data from local docs, retrieve code from a GitHub repo, and so on. MCP, developed by Anthropic, is based on a client-server architecture that defines the communication details between an MCP client, hosted inside the AI application, and an MCP server that exposes tools, resources, and prompt templates. The server can be a subprocess launched by the client that runs locally or an independent process running remotely. In this hands-on course, you'll learn the core architecture behind MCP. You’ll create an MCP-compatible chatbot, build and deploy an MCP server, and connect the chatbot to your MCP server and other open-source servers. Here’s what you’ll do: - Understand why MCP makes AI development less fragmented and standardizes connections between AI applications and external data sources - Learn the core components of the client-server architecture of MCP and the underlying communication mechanism - Build a chatbot with custom tools for searching academic papers, and transform it into an MCP-compatible application - Build a local MCP server that exposes tools, resources, and prompt templates using FastMCP, and test it using MCP Inspector - Create an MCP client inside your chatbot to dynamically connect to your server - Connect your chatbot to reference servers built by Anthropic’s MCP team, such as filesystem, which implements filesystem operations, and fetch, which extracts contents from the web as markdown - Configure Claude Desktop to connect to your server and others, and explore how it abstracts away the low-level logic of MCP clients - Deploy your MCP server remotely and test it with the Inspector or other MCP-compatible applications - Learn about the roadmap for future MCP development, such as multi-agent architecture, MCP registry API, server discovery, authorization, and authentication MCP is an exciting and important technology that lets you build rich-context AI applications that connect to a growing ecosystem of MCP servers, with minimal integration work. Please sign up here!

New course: MCP: Build Rich-Context AI Apps with Anthropic. Learn to build AI apps that access tools, data, and prompts using the Model Context Protocol in this short course, created in partnership with Anthropic Anthropic and taught by Elie Schoppik Elie Schoppik, its Head of Technical Education. Connecting AI applications to external systems that bring rich context to LLM-based applications has often meant writing custom integrations for each use case. MCP is an open protocol that standardizes how LLMs access tools, data, and prompts from external sources, and simplifies how you provide context to your LLM-based applications. For example, you can provide context via third-party tools that let your LLM make API calls to search the web, access data from local docs, retrieve code from a GitHub repo, and so on. MCP, developed by Anthropic, is based on a client-server architecture that defines the communication details between an MCP client, hosted inside the AI application, and an MCP server that exposes tools, resources, and prompt templates. The server can be a subprocess launched by the client that runs locally or an independent process running remotely. In this hands-on course, you'll learn the core architecture behind MCP. You’ll create an MCP-compatible chatbot, build and deploy an MCP server, and connect the chatbot to your MCP server and other open-source servers. Here’s what you’ll do: - Understand why MCP makes AI development less fragmented and standardizes connections between AI applications and external data sources - Learn the core components of the client-server architecture of MCP and the underlying communication mechanism - Build a chatbot with custom tools for searching academic papers, and transform it into an MCP-compatible application - Build a local MCP server that exposes tools, resources, and prompt templates using FastMCP, and test it using MCP Inspector - Create an MCP client inside your chatbot to dynamically connect to your server - Connect your chatbot to reference servers built by Anthropic’s MCP team, such as filesystem, which implements filesystem operations, and fetch, which extracts contents from the web as markdown - Configure Claude Desktop to connect to your server and others, and explore how it abstracts away the low-level logic of MCP clients - Deploy your MCP server remotely and test it with the Inspector or other MCP-compatible applications - Learn about the roadmap for future MCP development, such as multi-agent architecture, MCP registry API, server discovery, authorization, and authentication MCP is an exciting and important technology that lets you build rich-context AI applications that connect to a growing ecosystem of MCP servers, with minimal integration work. Please sign up here!

Andrew Ng

142,010 просмотров • 1 год назад

I'm still picking my jaw off the floor with this MCP update: Postman will now automatically build an MCP server for an API. Automatically! You select your API and the requests you want to include, and Potman will generate a Zip file with everything you need. In collaboration with Postman, I recorded a video showing how I generated an MCP server for the Google Maps API. It's glorious! Also, and before I forget: You can now test any MCP server with your Postman application. They built MCP right in, so now you can: • Connect to an MCP server • List out all of the available tools • Test any of the tools This is a 10x boost for the MCP ecosystem. If you've tried the default MCP debugger, you'll understand how huge a deal it is that you can do all of that from Postman now. Go here to give this a try:

I'm still picking my jaw off the floor with this MCP update: Postman will now automatically build an MCP server for an API. Automatically! You select your API and the requests you want to include, and Potman will generate a Zip file with everything you need. In collaboration with Postman, I recorded a video showing how I generated an MCP server for the Google Maps API. It's glorious! Also, and before I forget: You can now test any MCP server with your Postman application. They built MCP right in, so now you can: • Connect to an MCP server • List out all of the available tools • Test any of the tools This is a 10x boost for the MCP ecosystem. If you've tried the default MCP debugger, you'll understand how huge a deal it is that you can do all of that from Postman now. Go here to give this a try:

Santiago

215,727 просмотров • 1 год назад

Don't do RAG - One counter intuitive thing I learnt past few weeks - Load whole knowledge base into prompt is actually fast, cheap & more accurate than normal RAG pipeline I was building an MCP for reading external doc, I was able to generate right code example by feeding 50 pages API doc directly to Gemini 2.0 prompt On my Helicone dashboard, It gave me answer within 3 sec, at cost of $0.006, which is insanely fast & cheap imo Here I broken it down further on the method & how I built the API doc MCP 0:00 Intro to method 8:50 Gemini 2.0 example + MCP If you want to learn more about building LLM apps, join AI builder club where I post tips weekly:

Don't do RAG - One counter intuitive thing I learnt past few weeks - Load whole knowledge base into prompt is actually fast, cheap & more accurate than normal RAG pipeline I was building an MCP for reading external doc, I was able to generate right code example by feeding 50 pages API doc directly to Gemini 2.0 prompt On my Helicone dashboard, It gave me answer within 3 sec, at cost of $0.006, which is insanely fast & cheap imo Here I broken it down further on the method & how I built the API doc MCP 0:00 Intro to method 8:50 Gemini 2.0 example + MCP If you want to learn more about building LLM apps, join AI builder club where I post tips weekly:

Jason Zhou

82,818 просмотров • 1 год назад

We’re excited to launch OpenMemory MCP, a private memory for MCP-compatible clients powered by mem0 Today, most AI assistants and dev tools operate without memory. You plan your roadmap in Claude, implement tasks in Cursor, but none of them know what the other did. Each tool operates in isolation, and your context disappears as soon as the session ends. OpenMemory MCP solves this. Built on the open Model Context Protocol (MCP), OpenMemory MCP runs 100% locally and provides a persistent, portable memory layer for all your AI tools. It enables agents and assistants to read from and write to a shared memory, securely and privately. Key capabilities: ✅Works across MCP clients like Cursor, Claude Desktop, Windsurf, Cline and more ✅Provides standardized memory operations (add_memories, search_memory, list_memories, delete_all_memories) ✅Stores data on your machine, fully private ✅Offers a centralized dashboard for visibility and control ✅Simple Docker-based setup with no vendor lock-in If you're building on MCP, OpenMemory MCP is the easiest way to add persistent, private memory to your clients with zero cloud dependencies and full local control. We’ve put together a short demo to show how it works Check it out in the links below 👇

We’re excited to launch OpenMemory MCP, a private memory for MCP-compatible clients powered by mem0 Today, most AI assistants and dev tools operate without memory. You plan your roadmap in Claude, implement tasks in Cursor, but none of them know what the other did. Each tool operates in isolation, and your context disappears as soon as the session ends. OpenMemory MCP solves this. Built on the open Model Context Protocol (MCP), OpenMemory MCP runs 100% locally and provides a persistent, portable memory layer for all your AI tools. It enables agents and assistants to read from and write to a shared memory, securely and privately. Key capabilities: ✅Works across MCP clients like Cursor, Claude Desktop, Windsurf, Cline and more ✅Provides standardized memory operations (add_memories, search_memory, list_memories, delete_all_memories) ✅Stores data on your machine, fully private ✅Offers a centralized dashboard for visibility and control ✅Simple Docker-based setup with no vendor lock-in If you're building on MCP, OpenMemory MCP is the easiest way to add persistent, private memory to your clients with zero cloud dependencies and full local control. We’ve put together a short demo to show how it works Check it out in the links below 👇

Taranjeet

471,767 просмотров • 1 год назад

"I built a $250,000 SaaS in 4 months with AI and barely knew how to code." I'm starting to think that a coding ide like cursor/windsurf can become the everything app for creators this custom mode wrote a linkedin post that reads better than tools charging $50+ a month it can do it's own research using web searches or using the brave mcp with a free api key it's not hard to imagine that I could also hook this up to an mcp to create posts on linkedin and have my publishing schedule managed from a json file inside cursor yes, linkedin is cringe, but this is just the beginning of what will be possible soon i'm not gonna say that mcp is "wild" or "this changes everything" but it's quite exciting to see how this is going to be used

"I built a $250,000 SaaS in 4 months with AI and barely knew how to code." I'm starting to think that a coding ide like cursor/windsurf can become the everything app for creators this custom mode wrote a linkedin post that reads better than tools charging $50+ a month it can do it's own research using web searches or using the brave mcp with a free api key it's not hard to imagine that I could also hook this up to an mcp to create posts on linkedin and have my publishing schedule managed from a json file inside cursor yes, linkedin is cringe, but this is just the beginning of what will be possible soon i'm not gonna say that mcp is "wild" or "this changes everything" but it's quite exciting to see how this is going to be used

Ian Nuttall

25,529 просмотров • 1 год назад

Introducing Open MCP Client 🪁 Chat with any MCP server in your own app, just grab a URL from . The team and I vibe coded with Cursor this weekend and built: 1. The first web-based MCP client (link👇) 2. An open-source client you can add into any app How it's built It uses CopilotKit🪁 for the client and interactivity layer, and connects to a 40 line LangGraph ReAct agent that coordinates MCP calls. Hosted on Vercel. Kudos to Suhas Deshpande and Tyler Slaton for hacking and thanks to Harrison Chase for pointers!

Introducing Open MCP Client 🪁 Chat with any MCP server in your own app, just grab a URL from . The team and I vibe coded with Cursor this weekend and built: 1. The first web-based MCP client (link👇) 2. An open-source client you can add into any app How it's built It uses CopilotKit🪁 for the client and interactivity layer, and connects to a 40 line LangGraph ReAct agent that coordinates MCP calls. Hosted on Vercel. Kudos to Suhas Deshpande and Tyler Slaton for hacking and thanks to Harrison Chase for pointers!

Atai Barkai

299,711 просмотров • 1 год назад

it really doesnt matter if your agent uses the cli or mcp what really matters is how to best enable ur agents to build autonomously for u without the crossmint cli tool my agent would have to use the browser and get my input in every step. now i just let it run see how i do it

it really doesnt matter if your agent uses the cli or mcp what really matters is how to best enable ur agents to build autonomously for u without the crossmint cli tool my agent would have to use the browser and get my input in every step. now i just let it run see how i do it

joyce

14,133 просмотров • 4 месяцев назад

Connecting Claude with web search is magic! Finally got the chance to play with MCP servers. I hooked up Claude Desktop with GitHub & Brave web search MCP servers for staying up to date with AI news. I also asked Claude to create a new GitHub repo and log the news there. This exceeded my expectations. Check the full video (at 2x) for the first demo. Let me know if you are interested in a full tutorial on how to set up the MCP servers.

Connecting Claude with web search is magic! Finally got the chance to play with MCP servers. I hooked up Claude Desktop with GitHub & Brave web search MCP servers for staying up to date with AI news. I also asked Claude to create a new GitHub repo and log the news there. This exceeded my expectations. Check the full video (at 2x) for the first demo. Let me know if you are interested in a full tutorial on how to set up the MCP servers.

elvis

41,804 просмотров • 1 год назад