Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

Here's how to deploy your own MCP server in 30 seconds: 1. Remix the Replit template 2. Prompt Agent "create a server that does xyz" 3. Select "Publish" Voila - a streamable HTTP server deployed with API key auth Connect to your sever in your client of choice

mattyp's profile picture

matt palmer

42,087 subscribers

80,137 Aufrufe • vor 9 Monaten •via X (Twitter)

ComedyBildungWissenschaft & Technologie
LIVE

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

⚡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 🧵
2:50

⚡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 Aufrufe • vor 9 Monaten

Building your storefront AI agent just got easier. Connect the Storefront MCP server directly to the OpenAI Responses API to search products, add items to cart, and create checkout links. No auth required.
0:26

Building your storefront AI agent just got easier. Connect the Storefront MCP server directly to the OpenAI Responses API to search products, add items to cart, and create checkout links. No auth required.

Shopify Developers

346,659 Aufrufe • vor 1 Jahr

how to build your very own MCP server (I built an analytics agent in 30 minutes!) full tutorial:
15:45

how to build your very own MCP server (I built an analytics agent in 30 minutes!) full tutorial:

The Boring Marketer

49,556 Aufrufe • vor 1 Jahr

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!
2:43

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 Aufrufe • vor 1 Jahr

Deploy a GPU node on NodeAI in minutes. 1. Head to 2. Choose a template (SSH, Oobabooga, more coming) 3. Select your GPU server 4. Hit Deploy and monitor from your dashboard Build faster. Ship smarter. #AI #GPU #NODEAI #DePIN
1:03

Deploy a GPU node on NodeAI in minutes. 1. Head to 2. Choose a template (SSH, Oobabooga, more coming) 3. Select your GPU server 4. Hit Deploy and monitor from your dashboard Build faster. Ship smarter. #AI #GPU #NODEAI #DePIN

Node AI | $GPU

26,572 Aufrufe • vor 11 Monaten

Chat with Claude Sonnet 3.7 to build your own MCP server. And publish it to GitHub with just a single click. All of this in less than 2 mins.
0:21

Chat with Claude Sonnet 3.7 to build your own MCP server. And publish it to GitHub with just a single click. All of this in less than 2 mins.

Shubham Saboo

69,126 Aufrufe • vor 1 Jahr

You can build a MCP business With just 5 lines of code, you can: 1. Setup your own MCP server to connect anything 2. Distribute to thousands of people... No bullshit. 👇
11:32

You can build a MCP business With just 5 lines of code, you can: 1. Setup your own MCP server to connect anything 2. Distribute to thousands of people... No bullshit. 👇

Jason Zhou

77,283 Aufrufe • vor 1 Jahr

You can now build a Deep Research Agent over your organization's data in literally 1 tool call using ZeroEntropy (YC W25)'s MCP server! We just launched our MCP server, which you can connect to the OpenAI Deep Research API! This demo shows to find ZeroEntropy's secret buried in 50k+ documents
0:29

You can now build a Deep Research Agent over your organization's data in literally 1 tool call using ZeroEntropy (YC W25)'s MCP server! We just launched our MCP server, which you can connect to the OpenAI Deep Research API! This demo shows to find ZeroEntropy's secret buried in 50k+ documents

Ghita

17,447 Aufrufe • vor 1 Jahr

A Mini Crash-Course on MCP! Yesterday, I published a guide that covers: - What MCP is - How to build your own MCP server - How to create a 100% local MCP client - Using this to control & automate any browser Step-by-step guide...👇
0:25

A Mini Crash-Course on MCP! Yesterday, I published a guide that covers: - What MCP is - How to build your own MCP server - How to create a 100% local MCP client - Using this to control & automate any browser Step-by-step guide...👇

Akshay 🚀

66,623 Aufrufe • vor 11 Monaten

How to make a custom GPT action: Make your GPT ChatGPT talk to a server on @replit in 5mins 1. use this template 2. deploy in 5 clicks 3. copy paste url & schema (dont forget to lowercase) 4. test. Done. 5. Go wild, ask chatGPT to build itself
1:43

How to make a custom GPT action: Make your GPT ChatGPT talk to a server on @replit in 5mins 1. use this template 2. deploy in 5 clicks 3. copy paste url & schema (dont forget to lowercase) 4. test. Done. 5. Go wild, ask chatGPT to build itself

Nick Dobos

92,782 Aufrufe • vor 2 Jahren

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:
6:15

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 Aufrufe • vor 1 Jahr

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!
0:45

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 Aufrufe • vor 1 Jahr

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 🧵
1:10

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 Aufrufe • vor 1 Jahr

Postman will conduct hands-on workshops where you will learn how to build agent-ready APIs 👉 Here's how to generate MCP servers in seconds from APIs using Postman. - Go to Postman MCP article: - Choose Create AI agents - Choose a Workspace or Collection and select your APIs. - Download and extract the zip file. - Open the file in VsCode or any other IDE. - Follow the Readme and make any necessary changes. - Finally Run Your MCP Server.
0:44

Postman will conduct hands-on workshops where you will learn how to build agent-ready APIs 👉 Here's how to generate MCP servers in seconds from APIs using Postman. - Go to Postman MCP article: - Choose Create AI agents - Choose a Workspace or Collection and select your APIs. - Download and extract the zip file. - Open the file in VsCode or any other IDE. - Follow the Readme and make any necessary changes. - Finally Run Your MCP Server.

Poonam Soni

44,320 Aufrufe • vor 1 Jahr

SendAI's Solana MCP is now available in the OpenAI Responses API 🤖 Just plug in the SendAI Remote MCP server and prompt Solana actions in your agentic workflows (Chain-of-Thought) using your own Solana wallet. A quick demo of fetching and buying $SEND on the OpenAI Platform:
0:52

SendAI's Solana MCP is now available in the OpenAI Responses API 🤖 Just plug in the SendAI Remote MCP server and prompt Solana actions in your agentic workflows (Chain-of-Thought) using your own Solana wallet. A quick demo of fetching and buying $SEND on the OpenAI Platform:

SendAI

22,961 Aufrufe • vor 1 Jahr

Before x402: your agent needed an API key, an account, a credit card. Now: a USDC wallet on Base. Connect to the Apify MCP server, run an Actor, pay per result. Empty run? No charge. 20,000+ Actors. No account needed.
9:38

Before x402: your agent needed an API key, an account, a credit card. Now: a USDC wallet on Base. Connect to the Apify MCP server, run an Actor, pay per result. Empty run? No charge. 20,000+ Actors. No account needed.

Apify

86,697 Aufrufe • vor 29 Tagen

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!
1:47

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 Aufrufe • vor 1 Jahr

MCP clearly has demand, But monetizing it has been tricky. I figured out the easiest way to build & monetize a Paid MCP server: 1. mcp-remote package 2. Stripe agent tool kit 3. Cloudflare mcp auth 4. Helicone to track LLM usage I've made a step by step video below + Ready-to-use MCP template with auth & payment Access it at — I drop weekly tips there.
13:52

MCP clearly has demand, But monetizing it has been tricky. I figured out the easiest way to build & monetize a Paid MCP server: 1. mcp-remote package 2. Stripe agent tool kit 3. Cloudflare mcp auth 4. Helicone to track LLM usage I've made a step by step video below + Ready-to-use MCP template with auth & payment Access it at — I drop weekly tips there.

Jason Zhou

42,656 Aufrufe • vor 1 Jahr

Build your first AI agent + MCP Server in Python. Here is everything you need to build your first AI agent in less than 20 minutes. About the code you'll see here: 1. I used Google ADK with Gemini Flash to power the agent 2. The agent connects to an MCP server 3. It also uses two custom tools to do its work 4. You can see everything the agent does thanks to Comet's Opik library Here is the video, free for you to watch.
17:04

Build your first AI agent + MCP Server in Python. Here is everything you need to build your first AI agent in less than 20 minutes. About the code you'll see here: 1. I used Google ADK with Gemini Flash to power the agent 2. The agent connects to an MCP server 3. It also uses two custom tools to do its work 4. You can see everything the agent does thanks to Comet's Opik library Here is the video, free for you to watch.

Santiago

56,569 Aufrufe • vor 1 Jahr

I made a Sora MCP 🎬 The server can generate, remix, check video status, and even download videos to a folder of your choice Repo on GitHub 👇
0:33

I made a Sora MCP 🎬 The server can generate, remix, check video status, and even download videos to a folder of your choice Repo on GitHub 👇

Pietro Schirano

83,457 Aufrufe • vor 10 Monaten