Video wird geladen...

Video konnte nicht geladen werden

Beim Laden dieses Videos ist ein Problem aufgetreten. Dies könnte an einem vorübergehenden Netzwerkproblem liegen oder das Video ist möglicherweise nicht verfügbar.

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... show more

Santiago

452,268 subscribers

56,558 Aufrufe • vor 1 Jahr •via X (Twitter)

Wissenschaft & Technologie Bildung

Anya Rossi• Live Now

Private livecam show

10 Kommentare

Profilbild von Santiago

Santiagovor 1 Jahr

Here is the GitHub Repository with the code: I also published the video to my YouTube channel: If you find these examples helpful, follow me @svpino so I get the dopamine I need to keep bringing more content like this.

Profilbild von Greg Caplan 🚀

Greg Caplan 🚀vor 2 Jahren

Stop wasting time following up with leads. Let our AI agents do it for you.

Profilbild von ibexdream

ibexdreamvor 1 Jahr

"Build an AI agent in 20 mins" Me in 21 mins: emotionally attached, morally conflicted, accidentally built Skynet 🧠💥

Profilbild von Algoworks

Algoworksvor 1 Jahr

looks super cool

Profilbild von Jilong | We provide AI marketer - 24/7 marketing

Jilong | We provide AI marketer - 24/7 marketingvor 1 Jahr

Gemini Flash for agents? Curious how it handles real-time data scaling.

Profilbild von Miyaghi Cohrnavere

Miyaghi Cohrnaverevor 1 Jahr

How do you create a video where on one side you show your self , talking , and on the other side you show something else eg screenshot ?

Profilbild von Santiago

Santiagovor 1 Jahr

OBS

Profilbild von mariodeleon

mariodeleonvor 1 Jahr

@memdotai mem it #Ai #Mcp

Profilbild von Arpit Adlakha

Arpit Adlakhavor 1 Jahr

Dummy apps don't teach us about real systems unfortunately, mcp servers are overrated , just use APIs folks !

Profilbild von Bohdan Ovsienko

Bohdan Ovsienkovor 1 Jahr

Great tutorial)

Ähnliche Videos

Here is a step-by-step introduction to building a workflow with a custom AI agent that uses MCP. I explain every component in the video: 1. Building the MCP server 2. Building the agent and an MCP client 3. Building a workflow that uses the agent The goal is simple: Generate a dialogue between two people and make one yell and the other answer with sarcasm. Kestra is sponsoring this video. They are an open-source orchestration platform (repo link below), and I used them to build the workflow that connects every component.

Here is a step-by-step introduction to building a workflow with a custom AI agent that uses MCP. I explain every component in the video: 1. Building the MCP server 2. Building the agent and an MCP client 3. Building a workflow that uses the agent The goal is simple: Generate a dialogue between two people and make one yell and the other answer with sarcasm. Kestra is sponsoring this video. They are an open-source orchestration platform (repo link below), and I used them to build the workflow that connects every component.

Santiago

51,527 Aufrufe • vor 1 Jahr

New short course: Build AI Apps with MCP Servers: Working with Box Files, built with Box and taught by Ben Kus , their CTO. Many AI applications require custom code for basic file operations. The Model Context Protocol (MCP) standardizes this by letting you offload file tasks to dedicated servers that provide tools an LLM can use directly. In this course, you'll process documents stored in a Box folder using the Box MCP server. Rather than writing custom integration code to connect to the Box API and download files, you'll design your application to use the tools provided via MCP. Skills you'll gain: - Build an LLM-powered document processing app, using the Box MCP server to access files - Design a multi-agent system using Google's Agent Development Kit (ADK), consisting of specialized agents for file operations - Coordinate the multi-agent workflow through an orchestrator that uses the Agent2Agent (A2A) protocol to connect to the agents You'll start with a local file-processing app, refactor it to work with Box's MCP server, then evolve it into a multi-agent system. Sign up here:

New short course: Build AI Apps with MCP Servers: Working with Box Files, built with Box and taught by Ben Kus , their CTO. Many AI applications require custom code for basic file operations. The Model Context Protocol (MCP) standardizes this by letting you offload file tasks to dedicated servers that provide tools an LLM can use directly. In this course, you'll process documents stored in a Box folder using the Box MCP server. Rather than writing custom integration code to connect to the Box API and download files, you'll design your application to use the tools provided via MCP. Skills you'll gain: - Build an LLM-powered document processing app, using the Box MCP server to access files - Design a multi-agent system using Google's Agent Development Kit (ADK), consisting of specialized agents for file operations - Coordinate the multi-agent workflow through an orchestrator that uses the Agent2Agent (A2A) protocol to connect to the agents You'll start with a local file-processing app, refactor it to work with Box's MCP server, then evolve it into a multi-agent system. Sign up here:

Andrew Ng

80,860 Aufrufe • vor 8 Monaten

Here is how simple it is to build a UI front-end for an AI agent (assuming you are using . The video here is 90 seconds and will show you everything you need to connect an agent to a web app: 1. Set up CopilotKit🪁 in your app 1. Copy the agent's localhost URL from LangGraph Studio 2. Paste that URL into a CopilotKit🪁 remote endpoint That's all you need to get a front-end to interact with the agent! The secret sauce here is CoAgents, an open-source library. You can use CoAgents to integrate any agent with your web application. Here is what you get: • Human-in-the-loop to steer and correct the agent • Stream intermediate agent state • Real-time state sharing between the agent and the application • Agentic generative UI to build trust that the agent is on the right path Watch the attached demo so you see it in action.

Here is how simple it is to build a UI front-end for an AI agent (assuming you are using . The video here is 90 seconds and will show you everything you need to connect an agent to a web app: 1. Set up CopilotKit🪁 in your app 1. Copy the agent's localhost URL from LangGraph Studio 2. Paste that URL into a CopilotKit🪁 remote endpoint That's all you need to get a front-end to interact with the agent! The secret sauce here is CoAgents, an open-source library. You can use CoAgents to integrate any agent with your web application. Here is what you get: • Human-in-the-loop to steer and correct the agent • Stream intermediate agent state • Real-time state sharing between the agent and the application • Agentic generative UI to build trust that the agent is on the right path Watch the attached demo so you see it in action.

Santiago

46,109 Aufrufe • vor 1 Jahr

This is literally the easiest way to build an AI agent. Zero code. You only need to run a couple of commands. (I've said this before, but Google ADK is my favorite way to build code-first agents.) Here is what you need to do: 1. Open your terminal and create an empty folder 2. Run `uv init` inside the folder (if you don't have uv installed, you are really missing out!) 3. Install the google-adk library using the following command: `uv add google-adk`. 4. At this point, you can use the ask to create your agent with a single command: `uv run adk create --type=config my_agent`. This will ask you a couple of questions, including your GEMINI_API_KEY (you can create one online). 5. The command above will create a my_agent/root_agent.yaml file. Open it and add the following two lines at the end of the file so your agent can use Google to search for stuff: tools: - name: google_search 6. You have everything you need now. Run the adk web interface and start playing with your agent: `uv run adk web` That's it! Literally zero code. The agent works off the YAML configuration file.

This is literally the easiest way to build an AI agent. Zero code. You only need to run a couple of commands. (I've said this before, but Google ADK is my favorite way to build code-first agents.) Here is what you need to do: 1. Open your terminal and create an empty folder 2. Run `uv init` inside the folder (if you don't have uv installed, you are really missing out!) 3. Install the google-adk library using the following command: `uv add google-adk`. 4. At this point, you can use the ask to create your agent with a single command: `uv run adk create --type=config my_agent`. This will ask you a couple of questions, including your GEMINI_API_KEY (you can create one online). 5. The command above will create a my_agent/root_agent.yaml file. Open it and add the following two lines at the end of the file so your agent can use Google to search for stuff: tools: - name: google_search 6. You have everything you need now. Run the adk web interface and start playing with your agent: `uv run adk web` That's it! Literally zero code. The agent works off the YAML configuration file.

Santiago

140,737 Aufrufe • vor 6 Monaten

I connected the GitHub MCP server to my terminal AI agent, analyzed the code, and generated tests, right inside my terminal! @Warpdotdev just dropped MCP support, and you can now connect external data sources to your terminal's AI agent. It’s free and super easy to set up

I connected the GitHub MCP server to my terminal AI agent, analyzed the code, and generated tests, right inside my terminal! @Warpdotdev just dropped MCP support, and you can now connect external data sources to your terminal's AI agent. It’s free and super easy to set up

Sumanth

14,752 Aufrufe • vor 1 Jahr

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

49,488 Aufrufe • vor 1 Jahr

New Google Skills learning path: Fundamentals of Agent Development Kit (ADK) gives you everything you need to build your first AI agent from the ground up! Write autonomous agents capable of executing real-world tasks. Start learning →

New Google Skills learning path: Fundamentals of Agent Development Kit (ADK) gives you everything you need to build your first AI agent from the ground up! Write autonomous agents capable of executing real-world tasks. Start learning →

Google Cloud Tech

22,375 Aufrufe • vor 3 Monaten

Introducing ADK Go, a new open-source toolkit designed to empower Go developers to build powerful AI agents. Highlights: 0:00 Introducing the Go ADK 0:53 Build your first Go agent 1:49 Run your agent 2:23 Understanding Tools 3:28 Run your agent with tools 5:00 Multi-agent patterns in Go 7:58 State, Sessions, and Events

Introducing ADK Go, a new open-source toolkit designed to empower Go developers to build powerful AI agents. Highlights: 0:00 Introducing the Go ADK 0:53 Build your first Go agent 1:49 Run your agent 2:23 Understanding Tools 3:28 Run your agent with tools 5:00 Multi-agent patterns in Go 7:58 State, Sessions, and Events

Google AI Developers

39,670 Aufrufe • vor 7 Monaten

1) Go to 2) Choose the "Canvas" from the tools 3) Follow Antonio Gulli and build your *grooving agent* Here is Agent WordLift in action 👇👇

1) Go to 2) Choose the "Canvas" from the tools 3) Follow Antonio Gulli and build your grooving agent Here is Agent WordLift in action 👇👇

Andrea Volpini

42,250 Aufrufe • vor 6 Monaten

You can create an AI Agent that answers your email with a few clicks. 1. Go to ChatLLM ( 2. Click on AI Engineer 3. Select Create an AI Agent 4. Choose the Email Answering Agent ChatLLM will do the rest: it will code, test, and deploy the agent for you. You can also create a custom agent in English. The Agent Economy is coming (somebody should write a book and use this title.) We are going to see examples like this, times 1,000 in 2025. Just think about how many repetitive tasks you perform every day. Some of these tasks are involved enough that we couldn't automate them with pre-AI solutions. That's where we'll see agents explode, and I'm here for it.

You can create an AI Agent that answers your email with a few clicks. 1. Go to ChatLLM ( 2. Click on AI Engineer 3. Select Create an AI Agent 4. Choose the Email Answering Agent ChatLLM will do the rest: it will code, test, and deploy the agent for you. You can also create a custom agent in English. The Agent Economy is coming (somebody should write a book and use this title.) We are going to see examples like this, times 1,000 in 2025. Just think about how many repetitive tasks you perform every day. Some of these tasks are involved enough that we couldn't automate them with pre-AI solutions. That's where we'll see agents explode, and I'm here for it.

Santiago

79,974 Aufrufe • vor 1 Jahr

I built an MCP AI Agent using Gemini Flash 2.5 with access to AirBnB and Google Maps in just 30 lines of Python Code. 100% Opensource Code.

I built an MCP AI Agent using Gemini Flash 2.5 with access to AirBnB and Google Maps in just 30 lines of Python Code. 100% Opensource Code.

Shubham Saboo

100,349 Aufrufe • vor 1 Jahr

Agent Zero is the world's first AI SuperAgent It's free, 100% private, open source, highly customisable and VERY Powerful In this 67 min video, you'll learn everything you need to know about Agent Zero

Agent Zero is the world's first AI SuperAgent It's free, 100% private, open source, highly customisable and VERY Powerful In this 67 min video, you'll learn everything you need to know about Agent Zero

David Ondrej

61,255 Aufrufe • vor 3 Monaten

We're excited to introduce the first fully automated AI Analyst: Amplitude Global Agent Global Agent can do anything a human can do in Amplitude. You can go from creating a cohort to deploying a guide in a few minutes. Global Agent is also available via our new Slack MCP.

We're excited to introduce the first fully automated AI Analyst: Amplitude Global Agent Global Agent can do anything a human can do in Amplitude. You can go from creating a cohort to deploying a guide in a few minutes. Global Agent is also available via our new Slack MCP.

Spenser Skates

11,097 Aufrufe • vor 3 Monaten

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

64,637 Aufrufe • vor 1 Jahr

Gemini 3.1 Flash-Lite is the model to build always on multimodal AI Agents. I just built a memory agent with Google ADK that runs 24/7. Feed it text, images, audio, video or PDFs. It reads, connects and consolidates everything while you sleep. 100% Opensource code.

Gemini 3.1 Flash-Lite is the model to build always on multimodal AI Agents. I just built a memory agent with Google ADK that runs 24/7. Feed it text, images, audio, video or PDFs. It reads, connects and consolidates everything while you sleep. 100% Opensource code.

Shubham Saboo

24,930 Aufrufe • vor 3 Monaten

The challenge: Build an agent with Agentforce to solve a real-world business problem. The twist: They only had a halftime to do it. 🏈⚡ See how fast it is to create your first AI agent on Trailhead:

The challenge: Build an agent with Agentforce to solve a real-world business problem. The twist: They only had a halftime to do it. 🏈⚡ See how fast it is to create your first AI agent on Trailhead:

Salesforce

20,059 Aufrufe • vor 1 Jahr

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 Aufrufe • vor 1 Jahr

Announcing Great AI Agents, need great tools. Now, you can vibecode MCP-ready tools to power any AI agent.

Announcing Great AI Agents, need great tools. Now, you can vibecode MCP-ready tools to power any AI agent.

BuildShip

119,699 Aufrufe • vor 1 Jahr

The easiest way to build an MCP Server using Google DeepMind Gemini 2.5 Pro and get started! 1. Use Gitingest to get all the code and docs from the FastMCP repo 2. Download the code into a txt file 3. Go to AI Studio, upload the file, define what kind of MCP Server you want to build 4. Gemini 2.5 Pro builds it for you.

The easiest way to build an MCP Server using Google DeepMind Gemini 2.5 Pro and get started! 1. Use Gitingest to get all the code and docs from the FastMCP repo 2. Download the code into a txt file 3. Go to AI Studio, upload the file, define what kind of MCP Server you want to build 4. Gemini 2.5 Pro builds it for you.

Philipp Schmid

75,947 Aufrufe • vor 1 Jahr

NEW: today we're releasing our Dashboard Agent. The first AI agent that can build entire dashboards end-to-end. No need to describe the chart types, metrics or time series. The AI does that all for you. Build dashboards in seconds, not afternoons.

NEW: today we're releasing our Dashboard Agent. The first AI agent that can build entire dashboards end-to-end. No need to describe the chart types, metrics or time series. The AI does that all for you. Build dashboards in seconds, not afternoons.

Basedash

653,947 Aufrufe • vor 1 Monat