正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

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

36,774 subscribers

20,595 次观看 • 1 年前 •via X (Twitter)

科学技术教育

Anya Rossi• Live Now

Private livecam show

11 条评论

Resend 的头像

Resend1 年前

Anything we can do to make a better agent experience in your opinion?

Bhanu Teja P 的头像

Bhanu Teja P1 年前

Nothing specific comes to mind. As long as there is an API, that is all is needed. Also, looks like LLMs already know the Resend API without me having to give it manually. So that's another plus.

PDF GPT 的头像

PDF GPT2 年前

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.

Mehul Mohan 的头像

Mehul Mohan1 年前

@resend very cool

Bhanu Teja P 的头像

Bhanu Teja P1 年前

@resend 😀

Virgil Brewster 的头像

Virgil Brewster1 年前

@resend This is wild.

Bhanu Teja P 的头像

Bhanu Teja P1 年前

@resend 😀

Programmers.App 的头像

Programmers.App1 年前

@resend Pure gold Mate!🚀 Are you planning to add a feature to pick different platforms like does? I just imagine copy pasting the output into #n8n or a code editor like #boltdotnew or #cursor. Great work!

Bhanu Teja P 的头像

Bhanu Teja P1 年前

@resend I am not sure I understand. Do you mean different platforms to host the MCP server?

Arjun D 的头像

Arjun D1 年前

@resend Excited to see platforms like making AI accessible! As I work on my UI/UX projects, I'm curious to see how this tool can help create engaging user experiences without extensive coding.

Bhanu Teja P 的头像

Bhanu Teja P1 年前

What do you mean? Have you tried it?

相关视频

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 次观看 • 1 年前

MCP meets Ollama! In this video you'll learn how build a 100% local MCP client that you can connect to any MCP server. 100% open-source code, step-by-step guide:

MCP meets Ollama! In this video you'll learn how build a 100% local MCP client that you can connect to any MCP server. 100% open-source code, step-by-step guide:

Akshay 🚀

92,848 次观看 • 1 年前

Here's how to build an MCP server (for beginners, in 1 minute)

Here's how to build an MCP server (for beginners, in 1 minute)

dylan

30,846 次观看 • 1 年前

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. 👇

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 次观看 • 1 年前

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

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

The Boring Marketer

49,556 次观看 • 1 年前

Here's how you can create any MCP server you want, just by using Claude Code.

Here's how you can create any MCP server you want, just by using Claude Code.

Pietro Schirano

81,132 次观看 • 1 年前

Claude 🤝 Griffain Turn any Griffain agent into an MCP server with no-code so you can take action on Solana anywhere 🔜

Claude 🤝 Griffain Turn any Griffain agent into an MCP server with no-code so you can take action on Solana anywhere 🔜

griffain

43,533 次观看 • 1 年前

The only MCP server you'll ever need! I just built an MCP server that connects to 200+ data sources and runs locally on my machine. 100% open source.

The only MCP server you'll ever need! I just built an MCP server that connects to 200+ data sources and runs locally on my machine. 100% open source.

Akshay 🚀

63,847 次观看 • 1 年前

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"

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 次观看 • 6 个月前

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.

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 次观看 • 1 年前

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 次观看 • 1 年前

Here's how to build an MCP server with a single TypeScript file, and connect it to Claude Code. No build step. No bullshit. Totally transformative.

Here's how to build an MCP server with a single TypeScript file, and connect it to Claude Code. No build step. No bullshit. Totally transformative.

Matt Pocock

254,307 次观看 • 1 年前

Build a 100% local, private, and secure MCP client. You can connect it to any MCP server. Step-by-step guide:

Build a 100% local, private, and secure MCP client. You can connect it to any MCP server. Step-by-step guide:

Akshay 🚀

15,560 次观看 • 8 个月前

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 次观看 • 1 年前

Introducing ⚡️Cerebras MCP Server ⚡️ You can now turbocharge any AI editor that uses MCP for tool calling with 20x faster inference. Here is Claude Code writing files at breakneck speed via Cerebras. Get started now 👇

Introducing ⚡️Cerebras MCP Server ⚡️ You can now turbocharge any AI editor that uses MCP for tool calling with 20x faster inference. Here is Claude Code writing files at breakneck speed via Cerebras. Get started now 👇

Cerebras

40,303 次观看 • 11 个月前

Imagine an MCP server that empowers developers to create AI-driven browser automations that mimic human web interactions. That's exactly what you can get with the Browserbase MCP within Windsurf!

Imagine an MCP server that empowers developers to create AI-driven browser automations that mimic human web interactions. That's exactly what you can get with the Browserbase MCP within Windsurf!

Windsurf

66,177 次观看 • 1 年前

Agents & MCP are great... but how can you DEPLOY an agent with MCP tools? Here's the fastest way I've found to build and deploy with the OpenAI Agents SDK in <3 minutes.

Agents & MCP are great... but how can you DEPLOY an agent with MCP tools? Here's the fastest way I've found to build and deploy with the OpenAI Agents SDK in <3 minutes.

matt palmer

64,690 次观看 • 1 年前

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

39,944 次观看 • 1 年前

Unreal Engine 5.8 ships today with experimental MCP server support: Your sources, your pipeline and your workflow—simply configure the MCP plugin and connect to any agent. Get familiar with the MCP server and the PCG Primitive Plugin today and see what teams can build together:

Unreal Engine 5.8 ships today with experimental MCP server support: Your sources, your pipeline and your workflow—simply configure the MCP plugin and connect to any agent. Get familiar with the MCP server and the PCG Primitive Plugin today and see what teams can build together:

Unreal Engine

3,017,490 次观看 • 1 个月前