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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... show more

Bhanu Teja P

36,886 subscribers

108,366 görüntüleme • 1 yıl önce •via X (Twitter)

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Added instructions on how to add the generated MCP server to Claude Desktop / Cursor / Windsurf

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I have already run out of @AnthropicAI credits 😅 Just recharged again.

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😅

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More than 100 MCP Servers got created in < 2 hrs 🤯

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Hitting concurrency rate limits for Claude API. Can someone from @AnthropicAI please help?

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Going to add fallbacks to @OpenAI No other way around.

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I had max_tokens set to 4192, but many MCP servers are much more than 4192. So it was erroring out. Increased it to a much higher value now.

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If you want to create an mcp server for an existing api, you can do it like this. Just give it an example curl request, and it will create an mcp server based on that.

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This is my favorite AI tool for reviewing reports. Just upload a report, ask for a summary, and get one in seconds. It's like ChatGPT, but built for documents. Try it for free.

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As a teetotaller, for a moment I thought I was drunk while trying it out because of the floating input card. 😅 Such a simple execution. Is there a way to also see what people have already created so I can use something existing instead of a creating a new one?

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That’s a good idea. Will show what others have created.

Benzer Videolar

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

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

101,224 görüntüleme • 1 yıl önce

In case you missed it, earlier this week we launched "MCP: Build Rich-Context AI Apps with Anthropic." Enroll now and: ✅ Explore how MCP standardizes access to tools and data for AI applications, its underlying architecture, and how it simplifies the integration of new tools and connections to external systems (e.g., GitHub repos, Google Docs, local files). ✅ Build and deploy an MCP server that provides tools, resources, and prompts, and add it to the configuration of AI applications, such as Claude Desktop, to extend them. ✅ Build an MCP-compatible application that hosts multiple MCP clients, each maintaining 1-to-1 connection to an MCP server. Join in for free:

In case you missed it, earlier this week we launched "MCP: Build Rich-Context AI Apps with Anthropic." Enroll now and: ✅ Explore how MCP standardizes access to tools and data for AI applications, its underlying architecture, and how it simplifies the integration of new tools and connections to external systems (e.g., GitHub repos, Google Docs, local files). ✅ Build and deploy an MCP server that provides tools, resources, and prompts, and add it to the configuration of AI applications, such as Claude Desktop, to extend them. ✅ Build an MCP-compatible application that hosts multiple MCP clients, each maintaining 1-to-1 connection to an MCP server. Join in for free:

DeepLearning.AI

23,829 görüntüleme • 1 yıl önce

Connect Claude, ChatGPT, Cursor, Perplexity, or Codex to Caffeine. The Caffeine MCP server is live. One URL. One browser sign-in. Describe what you want built from inside your AI tool - it sends the prompt straight to Caffeine. Get updates on what's being built without leaving your conversation. When it's done, ask your AI to review it. It reads the Caffeine conversation directly, so it has full context on every decision.

Connect Claude, ChatGPT, Cursor, Perplexity, or Codex to Caffeine. The Caffeine MCP server is live. One URL. One browser sign-in. Describe what you want built from inside your AI tool - it sends the prompt straight to Caffeine. Get updates on what's being built without leaving your conversation. When it's done, ask your AI to review it. It reads the Caffeine conversation directly, so it has full context on every decision.

caffeine

13,211 görüntüleme • 7 gün 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!

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

141,952 görüntüleme • 1 yıl önce

You can now give AI agents the ability to interact with ANY website. This new MCP server lets Claude, Cursor, or any AI agent navigate, click, fill forms, and extract data from sites without APIs. Just connect it and give it a URL + goal. Here’s how to set it up:

You can now give AI agents the ability to interact with ANY website. This new MCP server lets Claude, Cursor, or any AI agent navigate, click, fill forms, and extract data from sites without APIs. Just connect it and give it a URL + goal. Here’s how to set it up:

Alvaro Cintas

77,654 görüntüleme • 6 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!

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

193,114 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

215,727 görüntüleme • 1 yıl önce

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

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

151,139 görüntüleme • 1 yıl önce

AI Agents can now connect to 100,000+ APIs instantly. Postman's AI Agent builder can turn any API into an MCP server in seconds without writing a single line of Code. You can use it in Claude, Cursor, Windsurf and other AI tools.

AI Agents can now connect to 100,000+ APIs instantly. Postman's AI Agent builder can turn any API into an MCP server in seconds without writing a single line of Code. You can use it in Claude, Cursor, Windsurf and other AI tools.

Shubham Saboo

79,784 görüntüleme • 1 yıl önce

You can connect your Supabase database via MCP server to Cursor! The Cursor agent can get the schema and any data from your database through the official Postgres MCP server! This helps Cursor understand your database better when it needs to modify it to add a new feature!

You can connect your Supabase database via MCP server to Cursor! The Cursor agent can get the schema and any data from your database through the official Postgres MCP server! This helps Cursor understand your database better when it needs to modify it to add a new feature!

Tyler Shukert

203,451 görüntüleme • 1 yıl önce

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

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 görüntüleme • 1 yıl önce

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 →

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

18,878 görüntüleme • 10 ay önce

Building a Crypto Wallet MCP server to integrate with AI tools? ⚙️🤖 Don’t leave your private keys exposed on local setups. With Phala Cloud & NEAR Protocol MCP, you can deploy your Wallet MCP server inside a TEE—secure, verifiable, and easy to launch. Here’s how 🧵

Building a Crypto Wallet MCP server to integrate with AI tools? ⚙️🤖 Don’t leave your private keys exposed on local setups. With Phala Cloud & NEAR Protocol MCP, you can deploy your Wallet MCP server inside a TEE—secure, verifiable, and easy to launch. Here’s how 🧵

Phala

21,706 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

111,843 görüntüleme • 1 yıl önce

Launching AI Discovery And Communication DeepAgent discovers other AI agents and software tools on the fly and communicates with them to perform complex tasks. Here is how it works - - DeepAgent searches for other AI agents and tools - Finds the right tool for the job - Establishes contact using MCP and handles auth - Collaborates with the other tool to get the job done! - Remembers this tool for future colabs! Much like humans, it can create a team of AI agents or software tools to perform tasks. Here it is, learning about MindMaps, communicating with another server, and creating a Mindmap!!

Launching AI Discovery And Communication DeepAgent discovers other AI agents and software tools on the fly and communicates with them to perform complex tasks. Here is how it works - - DeepAgent searches for other AI agents and tools - Finds the right tool for the job - Establishes contact using MCP and handles auth - Collaborates with the other tool to get the job done! - Remembers this tool for future colabs! Much like humans, it can create a team of AI agents or software tools to perform tasks. Here it is, learning about MindMaps, communicating with another server, and creating a Mindmap!!

Bindu Reddy

13,598 görüntüleme • 1 yıl önce

⚡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 görüntüleme • 8 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

English is the most powerful language in the world. MongoDB just added support for MCP, and literally anyone can now query data without knowing anything about databases. If you know English, you are all set. I recorded a quick video to show you how I connect to a sample Airbnb database and run different queries: • How many listings? • How many listings in the US? • What's the list of countries in these listings? It takes 10 seconds to configure Claude, Cursor, WindSurf, or any other AI assistant to connect to MongoDB's MCP Server. By the way, the server supports much more than queries: • You can explore your collections • You can fetch schema information • You can generate app code snippets • You can manage your databases • You can handle cluster/user/admin tasks Here is a link to the MCP server GitHub repository: This is huge for developers. It's even bigger for non-developers. Thanks to the MongoDB team for collaborating with me on this post.

English is the most powerful language in the world. MongoDB just added support for MCP, and literally anyone can now query data without knowing anything about databases. If you know English, you are all set. I recorded a quick video to show you how I connect to a sample Airbnb database and run different queries: • How many listings? • How many listings in the US? • What's the list of countries in these listings? It takes 10 seconds to configure Claude, Cursor, WindSurf, or any other AI assistant to connect to MongoDB's MCP Server. By the way, the server supports much more than queries: • You can explore your collections • You can fetch schema information • You can generate app code snippets • You can manage your databases • You can handle cluster/user/admin tasks Here is a link to the MCP server GitHub repository: This is huge for developers. It's even bigger for non-developers. Thanks to the MongoDB team for collaborating with me on this post.

Santiago

44,818 görüntüleme • 1 yıl önce

I built an MCP server boilerplate* for vibe coders to launch paid tools in less than 20 minutes - hosted free on cloudflare - stripe for payments - google or github user login - easy to set up * it's $25 if you want it: mcpboilerplate.⁠com

I built an MCP server boilerplate* for vibe coders to launch paid tools in less than 20 minutes - hosted free on cloudflare - stripe for payments - google or github user login - easy to set up * it's $25 if you want it: mcpboilerplate.⁠com

Ian Nuttall

143,248 görüntüleme • 1 yıl önce

Here is how you can build an MCP server with I built an MCP server that can send emails with Resend in < 1 min. Didn't need to write any code.

Here is how you can build an MCP server with I built an MCP server that can send emails with Resend in < 1 min. Didn't need to write any code.

Bhanu Teja P

20,595 görüntüleme • 1 yıl önce