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I asked Cursor "Go to localhost:3000 and click the plus button." Cooking an MCP server that will enable your AI to use websites. Useful for automating tasks or testing. Built with xmcp

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Matias 🧉

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42,665 просмотров • 11 месяцев назад •via X (Twitter)

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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
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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

Introducing mcp-three An MCP server for Three.js made with xmcp Add toolkit for your AI to work with .gltf/.glb files: ✅ Understand model structure and animations ✅ Generate types & code with gltfjsx ✅ Less bugs when working with AI & 3D files Instructions below 🧵
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Introducing mcp-three An MCP server for Three.js made with xmcp Add toolkit for your AI to work with .gltf/.glb files: ✅ Understand model structure and animations ✅ Generate types & code with gltfjsx ✅ Less bugs when working with AI & 3D files Instructions below 🧵

Matias 🧉

30,782 просмотров • 1 год назад

Supabase now has an official MCP Server! This means you can create, edit, and connect a Supabase project to your app from your AI IDE like Cursor or Windsurf! We will also be adding more features to the MCP server, such as Edge Functions and Storage, in the near future!
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Supabase now has an official MCP Server! This means you can create, edit, and connect a Supabase project to your app from your AI IDE like Cursor or Windsurf! We will also be adding more features to the MCP server, such as Edge Functions and Storage, in the near future!

Tyler Shukert

85,127 просмотров • 1 год назад

Supabase MCP server now supports creating and deploying Edge Functions! Refresh your MCP server and make sure you have the `deploy_edge_function` tool, and you are good to go! Just ask your AI tool to create an edge function or a backend, and it will create it for you!
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Supabase MCP server now supports creating and deploying Edge Functions! Refresh your MCP server and make sure you have the `deploy_edge_function` tool, and you are good to go! Just ask your AI tool to create an edge function or a backend, and it will create it for you!

Tyler Shukert

28,997 просмотров • 1 год назад

I built an mcp server to give Cursor the ability to find and add cursor rules to your project no more manual search or commands needed just ask the agent and get back to vibe coding in your language of choice - easy peasy watch the demo and grab the json in replies ↓
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I built an mcp server to give Cursor the ability to find and add cursor rules to your project no more manual search or commands needed just ask the agent and get back to vibe coding in your language of choice - easy peasy watch the demo and grab the json in replies ↓

Ian Nuttall

43,082 просмотров • 1 год назад

To use MCP in Cursor 1⃣Add an MCP in settings 2⃣In Composer, select "Agent Mode" 3⃣Cursor will run the MCP tool based on your prompt Testing more MCPs — updates and a guide coming soon. Follow me for updates Available MCP servers in comments 👇
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To use MCP in Cursor 1⃣Add an MCP in settings 2⃣In Composer, select "Agent Mode" 3⃣Cursor will run the MCP tool based on your prompt Testing more MCPs — updates and a guide coming soon. Follow me for updates Available MCP servers in comments 👇

Melvin Vivas

68,968 просмотров • 1 год 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.
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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

Introducing the official Supabase MCP Server! Supabase MCP Server allows you to read and write to your database, create new projects, apply migrations, and more, right from your favorite AI tools! You can start using them in Cursor or Windsurf today!
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Introducing the official Supabase MCP Server! Supabase MCP Server allows you to read and write to your database, create new projects, apply migrations, and more, right from your favorite AI tools! You can start using them in Cursor or Windsurf today!

Supabase

193,197 просмотров • 1 год назад

Leverage the Dart MCP Server to enhance your Dart and Flutter development experience 💻✨ In this blog, explore useful tools provided by the Dart MCP Server and learn how to configure the server for use in popular development environments and tools →
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Leverage the Dart MCP Server to enhance your Dart and Flutter development experience 💻✨ In this blog, explore useful tools provided by the Dart MCP Server and learn how to configure the server for use in popular development environments and tools →

Flutter

18,914 просмотров • 1 год назад

Kaspa is an ideal solution for AI agent communication. Agents can seamlessly delegate tasks to one another and pay for services using the $kas base layer Alex developed a simple MCP server for Kaspa to enable LLMs to access basic Kaspa operations
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Kaspa is an ideal solution for AI agent communication. Agents can seamlessly delegate tasks to one another and pay for services using the $kas base layer Alex developed a simple MCP server for Kaspa to enable LLMs to access basic Kaspa operations

Captain Sats 𐤊

21,020 просмотров • 8 месяцев назад

Automate Customer Support entirely with Cursor + MCP!! Cursor Agent can now autonomously fetch emails, solve code issues with codebase indexing and reply to these emails. Here's how you can do it in just 2 mins, - Go to Composio's MCP directory - Click on the Gmail app and copy the sse url for Cursor - Add MCP server in cursor and complete auth - Let Cursor fetch emails, solve issues and reply to the query instantly All you need is
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Automate Customer Support entirely with Cursor + MCP!! Cursor Agent can now autonomously fetch emails, solve code issues with codebase indexing and reply to these emails. Here's how you can do it in just 2 mins, - Go to Composio's MCP directory - Click on the Gmail app and copy the sse url for Cursor - Add MCP server in cursor and complete auth - Let Cursor fetch emails, solve issues and reply to the query instantly All you need is

Karan Vaidya

63,866 просмотров • 1 год 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!
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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

Setup MCP on Cursor with Google Docs in less than 2 mins!! I used Cursor to to create PRDs in Google Docs Here's how you can do it too: - Go to the MCP directory - Search for Google Docs and grab your sse url - Paste the url and set up MCP in Cursor - Use Cursor Agent to authenticate and create PRD Check out the 100+ tools available at
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Setup MCP on Cursor with Google Docs in less than 2 mins!! I used Cursor to to create PRDs in Google Docs Here's how you can do it too: - Go to the MCP directory - Search for Google Docs and grab your sse url - Paste the url and set up MCP in Cursor - Use Cursor Agent to authenticate and create PRD Check out the 100+ tools available at

Soham

151,221 просмотров • 1 год назад

We just removed the most annoying part of dev: Reading docs manually. Now: Cursor × MCP × Sarvam AI docs = instant answers + faster builds Steps: 1. Go to 2. Click on Install MCP server 3. Open Cursor 4. Install MCP 5. Start building
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We just removed the most annoying part of dev: Reading docs manually. Now: Cursor × MCP × Sarvam AI docs = instant answers + faster builds Steps: 1. Go to 2. Click on Install MCP server 3. Open Cursor 4. Install MCP 5. Start building

Vinayak Gavariya

13,336 просмотров • 6 месяцев назад

Cursor now has a built-in web browser. You can say "start my app" and it will run the dev server in a terminal and then navigate the browser to localhost:3000. It can take screenshots of the page for iterating on design, and you can send DOM elements to the agent with prompts!
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Cursor now has a built-in web browser. You can say "start my app" and it will run the dev server in a terminal and then navigate the browser to localhost:3000. It can take screenshots of the page for iterating on design, and you can send DOM elements to the agent with prompts!

Lee Robinson

216,183 просмотров • 9 месяцев 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:
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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

215,882 просмотров • 1 год назад

Anthropic released interactive apps for Claude. Interactive apps can respond with interactive UI Widgets to enable additional usecases. "MCP Apps is a new extension to MCP that lets any MCP server deliver an interactive interface within any supporting AI product"
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Anthropic released interactive apps for Claude. Interactive apps can respond with interactive UI Widgets to enable additional usecases. "MCP Apps is a new extension to MCP that lets any MCP server deliver an interactive interface within any supporting AI product"

🚨 AI News | TestingCatalog

52,554 просмотров • 6 месяцев назад