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。

Your entire n8n instance is now MCP-ready. Access your workflows through native connectors in Lovable and Mistral AI, with Claude and more platforms on the way! Give it a try with n8n version 1.121.2 and your go-to MCP-enabled platform. 🔗 Watch the full video here:

n8n.io

80,708 subscribers

24,317 次观看 • 6 个月前 •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

This is the holy grail for building n8n workflows with Claude... Just discovered n8n-MCP and it is literally game-changing... It gives Claude deep knowledge of all 525+ n8n nodes instantly. Your AI goes from guessing to deeply understanding how n8n works. Video setup guide + git repo below 👇

This is the holy grail for building n8n workflows with Claude... Just discovered n8n-MCP and it is literally game-changing... It gives Claude deep knowledge of all 525+ n8n nodes instantly. Your AI goes from guessing to deeply understanding how n8n works. Video setup guide + git repo below 👇

Tom

171,856 次观看 • 11 个月前

How to replace your marketing team with AI agents using n8n, MCP, Claude aka "vibe marketing"

How to replace your marketing team with AI agents using n8n, MCP, Claude aka "vibe marketing"

GREG ISENBERG

584,352 次观看 • 1 年前

I've been waiting for this. The Unified MCP is here! Rube is a universal MCP server to connect your AI agents to all *your* apps. Works with your favorite IDE, Claude Code, and other MCP clients. Watch it research YouTube vids → generate a full content strategy doc. Insane!

I've been waiting for this. The Unified MCP is here! Rube is a universal MCP server to connect your AI agents to all your apps. Works with your favorite IDE, Claude Code, and other MCP clients. Watch it research YouTube vids → generate a full content strategy doc. Insane!

elvis

62,262 次观看 • 9 个月前

The TRUTH about "Vibe Marketing" W/ The Boring Marketer 1. n8n (Workflows with Agents) 2. Claude 3. MCP 4. Advanced Workflows Time Stamps: 00:00 - Introduction 00:16 - Defining Vibe Marketing 00:53 - Real-World Use Case: AI-Assisted SEO Agency 01:52 - n8n: YouTube Video to Newsletter 04:05 - Understanding AI Agents and Workflows 10:19 - Exploring MCP in Claude 15:56 - Advanced Vibe Marketing Strategies 25:53 - Conclusion and Future of Vibe Marketing

The TRUTH about "Vibe Marketing" W/ The Boring Marketer 1. n8n (Workflows with Agents) 2. Claude 3. MCP 4. Advanced Workflows Time Stamps: 00:00 - Introduction 00:16 - Defining Vibe Marketing 00:53 - Real-World Use Case: AI-Assisted SEO Agency 01:52 - n8n: YouTube Video to Newsletter 04:05 - Understanding AI Agents and Workflows 10:19 - Exploring MCP in Claude 15:56 - Advanced Vibe Marketing Strategies 25:53 - Conclusion and Future of Vibe Marketing

Riley Brown

247,143 次观看 • 1 年前

Claude just became your personal automation engineer. (This will change how you build in n8n forever) using n8n’s new MCP server, you can now describe a workflow in plain English… and Claude builds + deploys the entire n8n workflow for you - automatically. you can now: - build full workflows in plain English - deploy straight into your n8n instance (no JSON copy/paste) - spin up custom agents for ads, inventory, email, Slack - whatever - ship automations 10x faster, with 0 tech bottlenecks this is like having a full-time backend engineer for $20/month want the full Claude setup + install guide? comment “AUTOMATE” + follow + repost and I’ll DM you everything (must be following so I can DM)

Claude just became your personal automation engineer. (This will change how you build in n8n forever) using n8n’s new MCP server, you can now describe a workflow in plain English… and Claude builds + deploys the entire n8n workflow for you - automatically. you can now: - build full workflows in plain English - deploy straight into your n8n instance (no JSON copy/paste) - spin up custom agents for ads, inventory, email, Slack - whatever - ship automations 10x faster, with 0 tech bottlenecks this is like having a full-time backend engineer for $20/month want the full Claude setup + install guide? comment “AUTOMATE” + follow + repost and I’ll DM you everything (must be following so I can DM)

J.B.

379,378 次观看 • 11 个月前

The best foundation to position your product right now: - MCP server with OAuth - Claude and ChatGPT connectors - APIs and SDKs - Chat interfaces like iMessage and WhatsApp - A dashboard that uses the same MCP layer - Open source

The best foundation to position your product right now: - MCP server with OAuth - Claude and ChatGPT connectors - APIs and SDKs - Chat interfaces like iMessage and WhatsApp - A dashboard that uses the same MCP layer - Open source

Pontus Abrahamsson — oss/acc

29,854 次观看 • 2 个月前

n8n's official Claude Code connector can now create and edit workflows! This goes way beyond plugging an API into MCP. It's purpose built for LLMs. Includes a new workflow TypeScript SDK so workflows are written as code instead of JSON, with more reliable validation. Works anywhere MCPs are supported (n8n 2.18.5+). 🔗 Full video:

n8n's official Claude Code connector can now create and edit workflows! This goes way beyond plugging an API into MCP. It's purpose built for LLMs. Includes a new workflow TypeScript SDK so workflows are written as code instead of JSON, with more reliable validation. Works anywhere MCPs are supported (n8n 2.18.5+). 🔗 Full video:

n8n.io

119,815 次观看 • 1 个月前

Native payments for MCP now in production! 🔥 Let users pay and consume your services and APIs directly from their MCP clients. In this demo we deploy a weather app in Replit ⠕ , paywall it with fewsats and access it from Anthropic Claude desktop app 🤯

Native payments for MCP now in production! 🔥 Let users pay and consume your services and APIs directly from their MCP clients. In this demo we deploy a weather app in Replit ⠕ , paywall it with fewsats and access it from Anthropic Claude desktop app 🤯

positiveblue ⚡️🍠

19,015 次观看 • 1 年前

Connect your apps to AI on your terms. Introducing Turbo MCP, our enterprise-friendly, self-hosted MCP security platform and connectivity gateway. If you're looking to bring AI productivity to your workplace, Turbo MCP was designed with partners in highly-regulated industries, ready to meet the most rigid security requirements. 👉

Connect your apps to AI on your terms. Introducing Turbo MCP, our enterprise-friendly, self-hosted MCP security platform and connectivity gateway. If you're looking to bring AI productivity to your workplace, Turbo MCP was designed with partners in highly-regulated industries, ready to meet the most rigid security requirements. 👉

dylibso

585,387 次观看 • 7 个月前

n8nChat lets you build n8n workflows using simple English prompts. Just describe what you want to automate and watch it generate complete AI workflows in seconds. Create, edit, debug, and optimize your n8n workflows instantly by just chatting.

n8nChat lets you build n8n workflows using simple English prompts. Just describe what you want to automate and watch it generate complete AI workflows in seconds. Create, edit, debug, and optimize your n8n workflows instantly by just chatting.

Shubham Saboo

89,873 次观看 • 1 年前

🚀 Fresh in the BApp Store: MCP Server Link Burp Suite to your AI clients with the Model Context Protocol. 🧠 Integration with Claude Desktop? Easy-peasy. 🛰️ Need a Stdio MCP proxy? Locked and loaded. 🔓 Unlock new LLM workflows.

🚀 Fresh in the BApp Store: MCP Server Link Burp Suite to your AI clients with the Model Context Protocol. 🧠 Integration with Claude Desktop? Easy-peasy. 🛰️ Need a Stdio MCP proxy? Locked and loaded. 🔓 Unlock new LLM workflows.

BApp Store

62,325 次观看 • 1 年前

Before you dismiss MCP, try building one first. Try it with a personal tool and plug it into your favorite IDE. You immediately start to see how insanely capable, useful and intelligent MCP can make your IDE. Watch me build a small MCP server to chat with AI papers within Windsurf:

Before you dismiss MCP, try building one first. Try it with a personal tool and plug it into your favorite IDE. You immediately start to see how insanely capable, useful and intelligent MCP can make your IDE. Watch me build a small MCP server to chat with AI papers within Windsurf:

elvis

79,869 次观看 • 1 年前

Watch how AI agents like Claude securely access and reason over your Box content via the Box MCP server. What this enables: • Search across files with full context • Extract key information instantly • Generate grounded insights • Operate within your security controls Watch and subscribe for future tips on agentic workflows →

Watch how AI agents like Claude securely access and reason over your Box content via the Box MCP server. What this enables: • Search across files with full context • Extract key information instantly • Generate grounded insights • Operate within your security controls Watch and subscribe for future tips on agentic workflows →

Box

985,748 次观看 • 3 个月前

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'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 次观看 • 1 年前

Introducing GoPlus-MCP. The first AI-native security layer for Web3. Now natively callable from Anthropic Claude, DeepSeek, and other LLM clients supporting MCP. A new way of thinking about Web3 security. Try it now at

Introducing GoPlus-MCP. The first AI-native security layer for Web3. Now natively callable from Anthropic Claude, DeepSeek, and other LLM clients supporting MCP. A new way of thinking about Web3 security. Try it now at

GoPlus Security 🚦

44,145 次观看 • 1 年前

x402 Claude MCP Instead of adding a new MCP for every service, Claude can access any API and pay for whatever it needs Like Coinbase Developer Platform🛡️'s Payment MCP, but customizable. You set your own wallet, define your own endpoints & choose which tools Claude can access

x402 Claude MCP Instead of adding a new MCP for every service, Claude can access any API and pay for whatever it needs Like Coinbase Developer Platform🛡️'s Payment MCP, but customizable. You set your own wallet, define your own endpoints & choose which tools Claude can access

Ash

20,488 次观看 • 6 个月前

Introducing Duet (duet) - group chatgpt for work • chat with your team and the latest AI models together • connect your MCP tools • trigger workflows via agents • create a shared knowledge base for your entire team

Introducing Duet (duet) - group chatgpt for work • chat with your team and the latest AI models together • connect your MCP tools • trigger workflows via agents • create a shared knowledge base for your entire team

David

27,784 次观看 • 6 个月前

Our pricing evolves to give you more freedom to build ⚡ Over the past few months, we’ve spoken with many of you about how you use n8n and realized we could make our pricing work better for the way you build. Our goal: to help you automate more, without limits getting in the way. Here’s what’s new: ⚡ No more limits on active workflows Every n8n plan now includes unlimited active workflows, unlimited steps, and unlimited users. You’re only charged based on executions—that is, how many times your workflows run from start to finish. This way, you can build as much as you want and only pay for what actually delivers value. ⚡ A new self-hosted Business Plan for growing teams If you’re running workflows in production, need more control, but aren’t ready for a full enterprise setup, the Business Plan is for you. It’s self-hosted and includes features like environments, Git version control, and SSO. Plus, pricing scales with the value you get. Check out the updated plans at and make sure to update your n8n instance to apply the changes. We can’t wait to see what you build next!

Our pricing evolves to give you more freedom to build ⚡ Over the past few months, we’ve spoken with many of you about how you use n8n and realized we could make our pricing work better for the way you build. Our goal: to help you automate more, without limits getting in the way. Here’s what’s new: ⚡ No more limits on active workflows Every n8n plan now includes unlimited active workflows, unlimited steps, and unlimited users. You’re only charged based on executions—that is, how many times your workflows run from start to finish. This way, you can build as much as you want and only pay for what actually delivers value. ⚡ A new self-hosted Business Plan for growing teams If you’re running workflows in production, need more control, but aren’t ready for a full enterprise setup, the Business Plan is for you. It’s self-hosted and includes features like environments, Git version control, and SSO. Plus, pricing scales with the value you get. Check out the updated plans at and make sure to update your n8n instance to apply the changes. We can’t wait to see what you build next!

n8n.io

117,671 次观看 • 10 个月前

Your dev experience now has full MCP support Use the the Shopify Dev MCP server to set up, code, and validate your app Demo with Darius Gai

Your dev experience now has full MCP support Use the the Shopify Dev MCP server to set up, code, and validate your app Demo with Darius Gai

Shopify Developers

23,214 次观看 • 5 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

141,941 次观看 • 1 年前