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Ana Sayfaya Dön

Finally (re)launching 🚀 MCPify is like Lovable/Bolt/V0, but for building MCP servers! You just talk to the AI and can create your own MCP server. I built this completely using Cloudflare Developers Cloudflare Workers + Durable Objects + Workers for Platforms

Bhanu Teja P

57,755 subscribers

101,378 görüntüleme • 1 yıl önce •via X (Twitter)

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11 Yorum

Jaisal Rathee (tinystartups.com) profil fotoğrafı

Jaisal Rathee (tinystartups.com)1 yıl önce

@CloudflareDev This is awesome dude! How about a free launch on the launchpad? 🥳

Bhanu Teja P profil fotoğrafı

Bhanu Teja P1 yıl önce

@CloudflareDev That’d be great 😀 What would you need from me?

PDF GPT profil fotoğrafı

PDF GPT2 yıl önce

Everyone is getting ahead with AI. You should be too. Summarize documents, craft emails, and generate custom content instantly with this powerful tool. It's like having ChatGPT tailored for your job. Try it for free.

Akash wants you to join Peerlist so he profil fotoğrafı

Akash wants you to join Peerlist so he1 yıl önce

@CloudflareDev Consider launching it on Launchpad by Peerlist —

Bhanu Teja P profil fotoğrafı

Bhanu Teja P1 yıl önce

@CloudflareDev I will.

Oliver Beedham profil fotoğrafı

Oliver Beedham1 yıl önce

@CloudflareDev Good luck with the (re)launch 🫶🚀🤞

Bhanu Teja P profil fotoğrafı

Bhanu Teja P1 yıl önce

@CloudflareDev Thanks!

Mohammad Azim profil fotoğrafı

Mohammad Azim1 yıl önce

@CloudflareDev Congratulations

Bhanu Teja P profil fotoğrafı

Bhanu Teja P1 yıl önce

😀

Virgil Brewster profil fotoğrafı

Virgil Brewster1 yıl önce

@CloudflareDev Yeah, bring it on. Do you need some product hunt?

Bhanu Teja P profil fotoğrafı

Bhanu Teja P1 yıl önce

@CloudflareDev will launch on PH sometime this week.

Benzer Videolar

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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We were super stoked to see Anthropic launch the Model Context Protocol (MCP) this week. 🫡 Today, we’re rolling out the first version of our Cloudflare MCP server with initial support for R2, D1, KV, and Workers.

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⚡ i just dropped ActorCore v0.1.0 on NPM Cloudflare Developers durable objects will be the new cloud primitive in 2025, but they're vendor-locked to Workers ActorCore lets you deploy actors to any serverless cloud includes features like rpc, events, scheduling, & multiplayer

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Nathan Flurry 🔩

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One of the challenges with MCP, especially once remote becomes available is auth! Here's a demo that shows how to connect Claude to your Slack workspace using OAuth + MCP Powered by Cloudflare Workers 🧡 (shoutout to Glen Maddern for figuring out the hard parts of auth so that you won't have to)

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dina kozlov 🐀

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You can now connect your React application to any MCP server! And it only takes a single command: $ npx copilotkit@latest init -m MCP This is massive for anyone building React applications! Using the CopilotKit🪁 MCP Client Component, you can get an MCP Client chat component in your application and instant access to any MCP server out there! It doesn't get easier than this. Check out the link below for instructions on how to proceed ↓

You can now connect your React application to any MCP server! And it only takes a single command: $ npx copilotkit@latest init -m MCP This is massive for anyone building React applications! Using the CopilotKit🪁 MCP Client Component, you can get an MCP Client chat component in your application and instant access to any MCP server out there! It doesn't get easier than this. Check out the link below for instructions on how to proceed ↓

Santiago

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🚨 Unity AI is finally opening up, and this is a big one for Unity developers 🚀 You now get access to an in-project agentic assistant, AI Gateway, MCP server support, and deeper editor context so AI tools can understand your scene, assets, packages, hierarchy, settings, and target platforms. This is the kind of workflow I’ve been waiting for, AI that actually understands your Unity project and helps you build faster.

🚨 Unity AI is finally opening up, and this is a big one for Unity developers 🚀 You now get access to an in-project agentic assistant, AI Gateway, MCP server support, and deeper editor context so AI tools can understand your scene, assets, packages, hierarchy, settings, and target platforms. This is the kind of workflow I’ve been waiting for, AI that actually understands your Unity project and helps you build faster.

Dilmer 🔜 XRCC 🇩🇪

17,542 görüntüleme • 3 ay önce

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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Supabase

193,181 görüntüleme • 1 yıl önce

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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Andrew Ng

142,010 görüntüleme • 1 yıl önce

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!

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 görüntüleme • 1 yıl önce

This guy literally built a GUI for Claude Code. You can create custom AI agents, run background tasks, manage MCP servers, track usage and more. 100% free and Opensource.

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Shubham Saboo

77,746 görüntüleme • 11 ay önce

I built a self-hosted Sentry clone that runs entirely on Cloudflare Workers, and I think it showcases one of the most underrated features in the Cloudflare ecosystem: Service Bindings. Let me explain why this matters. When you have multiple Cloudflare Workers (an API, a webhook handler, a cron job), they all need common things: error tracking, authentication, rate limiting, metrics. The typical solution? External HTTP calls to third-party services. That means: - 50-200ms latency per call - Egress fees - Your data leaving your infrastructure - Another vendor to manage Service bindings let Workers call each other directly inside Cloudflare's network. No HTTP. No internet. Just internal RPC with <5ms latency. With Workers Sentinel, any Worker in my account can just point Sentry-SDK into the Service binding, and have all errors flow into one centralized dashboard, stored in Durable Objects with SQLite. No external calls. No added latency. Service bindings aren't just for error tracking. You can centralize: 🔐 Authentication — One Worker that validates tokens for all your services 📊 Metrics — Centralized collection without external observability costs 🚦 Rate Limiting — Shared counters that actually work across Workers 🚩 Feature Flags — Instant propagation, no deployment needed Think of it as building your own internal microservices mesh, but at the edge, with zero network overhead. Workers Sentinel uses two Durable Objects: - AuthState (singleton) — users, sessions, projects - ProjectState (per-project) — issues, events, stats Events are fingerprinted and grouped intelligently. The dashboard is a Vue.js app served from the same Worker. I could say i built this to learn Durable Objects or that I needed error tracking for side projects, but honestly I just need a way to show my wife why I'm sending $200/month to some guy named Claudio who apparently helps me write code. The whole thing is open source. Deploy it to your Cloudflare account, point your Sentry SDKs at it, and you're done. But more importantly: take a closer look at service bindings. They're the glue that turns a collection of Workers into an actual platform. Most Cloudflare customers I talk to aren't using them, and they're missing out. To the Sentry team: I love your work. Genuinely. Sentry is battle-tested, has incredible features, and is what you should use for anything that matters. This project is a toy. A learning exercise. A weekend hack that got slightly out of hand. Please do not trust your production errors to this dummy clone. If your startup goes down at 3 AM because Workers Sentinel missed an edge case, that's on you. I warned you. Use the real thing. But if you want to learn about Durable Objects, service bindings, and how error tracking works under the hood? Clone away. Your Workers shouldn't be islands. Connect them.

I built a self-hosted Sentry clone that runs entirely on Cloudflare Workers, and I think it showcases one of the most underrated features in the Cloudflare ecosystem: Service Bindings. Let me explain why this matters. When you have multiple Cloudflare Workers (an API, a webhook handler, a cron job), they all need common things: error tracking, authentication, rate limiting, metrics. The typical solution? External HTTP calls to third-party services. That means: - 50-200ms latency per call - Egress fees - Your data leaving your infrastructure - Another vendor to manage Service bindings let Workers call each other directly inside Cloudflare's network. No HTTP. No internet. Just internal RPC with <5ms latency. With Workers Sentinel, any Worker in my account can just point Sentry-SDK into the Service binding, and have all errors flow into one centralized dashboard, stored in Durable Objects with SQLite. No external calls. No added latency. Service bindings aren't just for error tracking. You can centralize: 🔐 Authentication — One Worker that validates tokens for all your services 📊 Metrics — Centralized collection without external observability costs 🚦 Rate Limiting — Shared counters that actually work across Workers 🚩 Feature Flags — Instant propagation, no deployment needed Think of it as building your own internal microservices mesh, but at the edge, with zero network overhead. Workers Sentinel uses two Durable Objects: - AuthState (singleton) — users, sessions, projects - ProjectState (per-project) — issues, events, stats Events are fingerprinted and grouped intelligently. The dashboard is a Vue.js app served from the same Worker. I could say i built this to learn Durable Objects or that I needed error tracking for side projects, but honestly I just need a way to show my wife why I'm sending $200/month to some guy named Claudio who apparently helps me write code. The whole thing is open source. Deploy it to your Cloudflare account, point your Sentry SDKs at it, and you're done. But more importantly: take a closer look at service bindings. They're the glue that turns a collection of Workers into an actual platform. Most Cloudflare customers I talk to aren't using them, and they're missing out. To the Sentry team: I love your work. Genuinely. Sentry is battle-tested, has incredible features, and is what you should use for anything that matters. This project is a toy. A learning exercise. A weekend hack that got slightly out of hand. Please do not trust your production errors to this dummy clone. If your startup goes down at 3 AM because Workers Sentinel missed an edge case, that's on you. I warned you. Use the real thing. But if you want to learn about Durable Objects, service bindings, and how error tracking works under the hood? Clone away. Your Workers shouldn't be islands. Connect them.

Gabriel Massadas

28,840 görüntüleme • 6 ay önce

MCP is a pain in the ass. To fix that, we’re launching DAuth: the first secure, multi-tenant MCP auth solution. OAuth isn’t enough. It doesn't support dynamically passing API keys, and you can’t trust passing credentials to non-OAuth servers, since secrets are exposed. This forces existing MCP marketplaces to be OAuth-centric and single-tenant. But OAuth is annoying to implement and assumes security expertise. DAuth works for every auth case. We encrypt your credentials on the client-side, guaranteeing MCP servers never see them. You can finally ship agents with peace of mind. For the first time, MCP is ready for takeoff 🛫

MCP is a pain in the ass. To fix that, we’re launching DAuth: the first secure, multi-tenant MCP auth solution. OAuth isn’t enough. It doesn't support dynamically passing API keys, and you can’t trust passing credentials to non-OAuth servers, since secrets are exposed. This forces existing MCP marketplaces to be OAuth-centric and single-tenant. But OAuth is annoying to implement and assumes security expertise. DAuth works for every auth case. We encrypt your credentials on the client-side, guaranteeing MCP servers never see them. You can finally ship agents with peace of mind. For the first time, MCP is ready for takeoff 🛫

Dedalus Labs

1,037,030 görüntüleme • 6 ay önce

Cline can now create and add tools to himself using MCP! Try asking him to “add a tool that pulls the latest npm docs” - Cline handles everything from creating the MCP server to installing it *into himself*, ready for future tasks. Servers are saved in ~/Documents/Cline/MCP so you can easily share tools with friends!

Cline can now create and add tools to himself using MCP! Try asking him to “add a tool that pulls the latest npm docs” - Cline handles everything from creating the MCP server to installing it into himself, ready for future tasks. Servers are saved in ~/Documents/Cline/MCP so you can easily share tools with friends!

Saoud Rizwan

61,730 görüntüleme • 1 yıl önce

🚀 Big news: Cline just launched the MCP Marketplace -- now you can one-click install MCP servers and give Cline access to a whole new suite of tools! What's changing with the MCP Marketplace: • Browse AI capabilities like apps • One-click MCP server installation • Automatic setup and configuration • No more JSON wrestling Before: - Find GitHub repos - Read technical docs - Configure manually - Hope it works Now: - Open Cline - Browse marketplace - Click "Install" - Start using The impact: Making AI superpowers accessible to everyone, not just tech experts. Imagine giving your AI instant access to: • Web searching capabilities • Design tools integration • Code analysis powers • And much more For developers: Want to list your MCP server? Create an issue in our mcp-marketplace repo with: • GitHub repo URL • 400x400 PNG logo • Brief description The future of AI development isn't about complex integrations. It's about unlocking capabilities with a single click. Welcome to that future. 🔮

Cline

112,069 görüntüleme • 1 yıl önce

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

215,882 görüntüleme • 1 yıl önce

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!

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 görüntüleme • 1 yıl önce