Video yükleniyor...

Video Yüklenemedi

Bu video yüklenirken bir sorun oluştu. Bu geçici bir ağ sorunundan kaynaklanıyor olabilir veya video kullanılamıyor olabilir.

Ana Sayfaya Dön

Introducing Cinema 4D MCP Server: The bridge between your work and supported AI tools. Let a compatible AI client organize, create variations, set up render passes, refine UVs & more. Inspect, adjust, or undo. Keep the craft. Hand off tedious work. 🔗

Maxon

78,258 subscribers

60,286 görüntüleme • 13 gün önce •via X (Twitter)

Bilim & Teknoloji

Anya Rossi• Live Now

Private livecam show

16 Yorum

R◎Tッ profil fotoğrafı

R◎Tッ13 gün önce

great now lower your prices and make redshift part of team render

Chad Ashley profil fotoğrafı

Chad Ashley13 gün önce

Things are gonna get WILD

Spenser Dickerson profil fotoğrafı

Spenser Dickerson13 gün önce

@cgpov Nice! I see the scene node demo - if that works as shown that’s amazing - nice work @MaxonVFX

Luis profil fotoğrafı

Luis13 gün önce

Amazing. Can’t wait to try it

midlet profil fotoğrafı

midlet13 gün önce

@dmcgavra Was waiting for this.

Anderson profil fotoğrafı

Anderson13 gün önce

cinema 4d getting an mcp server means your render passes now have an agent intern with opinions

Pixel Fondue profil fotoğrafı

Pixel Fondue13 gün önce

It’s pretty jaw dropping. Things are going to get a little weird.

Diego Bonati profil fotoğrafı

Diego Bonati13 gün önce

It seems they're finally catching up with AI.

Nic+ profil fotoğrafı

Nic+13 gün önce

So what do we pay for now, the software license, the AI credit (API), or both?

Dang_nh | AI Agent Ops profil fotoğrafı

Dang_nh | AI Agent Ops13 gün önce

The scene-node demo is neat, but “inspect, adjust, or undo” is what makes this usable on a real project. I’d want the MCP server to return exactly which objects, UVs, and render settings it changed before I accept the pass.

Sael profil fotoğrafı

Sael13 gün önce

Finally. The render pass setup is always the biggest time sink for me, excited to see how this handles the workflow

Designimator Generalist profil fotoğrafı

Designimator Generalist13 gün önce

Is the code for this available anywhere? Id love to see what the rails are around python execution.

喵~ profil fotoğrafı

喵~13 gün önce

真是意外，我没想到C4D居然会反应这么快

Valentin profil fotoğrafı

Valentin12 gün önce

Things that nobody needs

Loris.M profil fotoğrafı

Loris.M12 gün önce

2 years late to the game. Good you guys decided to not be left behind lol 😂

akramfex profil fotoğrafı

akramfex13 gün önce

Does it support c4d r20

Benzer Videolar

Introducing the RevenueCat MCP 🚀 No more context-switching between AI tools & your RevenueCat dashboard. Now, your AI assistant can instantly: → Create cross-platform subscriptions → Link entitlements to products → Set up complex hierarchies → Generate paywalls

Introducing the RevenueCat MCP 🚀 No more context-switching between AI tools & your RevenueCat dashboard. Now, your AI assistant can instantly: → Create cross-platform subscriptions → Link entitlements to products → Set up complex hierarchies → Generate paywalls

RevenueCat

3,414,299 görüntüleme • 11 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

193,339 görüntüleme • 1 yıl 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

142,256 görüntüleme • 1 yıl önce

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

28,971 görüntüleme • 10 ay önce

Multiplayer AI Aaron Epstein The best work tools became more powerful when they became multiplayer. But AI is still mostly trapped in private chats, with agents working in sessions that teammates can’t join or influence. The next generation of AI tools will let teams work with agents together in real time: watching, redirecting, and handing off work across engineering, sales, support, legal, finance, and more. AI’s multiplayer moment is coming.

Multiplayer AI Aaron Epstein The best work tools became more powerful when they became multiplayer. But AI is still mostly trapped in private chats, with agents working in sessions that teammates can’t join or influence. The next generation of AI tools will let teams work with agents together in real time: watching, redirecting, and handing off work across engineering, sales, support, legal, finance, and more. AI’s multiplayer moment is coming.

Y Combinator

326,420 görüntüleme • 2 ay önce

wtf is MCP? Paul Klein IV, CEO of explains "Model Context Protocol" (MCP) in plain terms: "There's this new way that people are exposing tools to AI & the 'Model Context Protocol' is one of those ways that you can standardize & give your AI a set of tools to call. BrowserBase has a way to expose the browser to your agent via MCP or MCP server. More & more developers are trying to find ways to integrate more functionalities to their AI agents & BrowserBase's browsers are one of those primitive functionalities, & the MCP is just one way to integrate it into your software." Paul Klein IV From 🅱️'s GitHub: Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you’re building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need. This server provides cloud browser automation capabilities using Browserbase and Stagehand. This server enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a cloud browser environment.

wtf is MCP? Paul Klein IV, CEO of explains "Model Context Protocol" (MCP) in plain terms: "There's this new way that people are exposing tools to AI & the 'Model Context Protocol' is one of those ways that you can standardize & give your AI a set of tools to call. BrowserBase has a way to expose the browser to your agent via MCP or MCP server. More & more developers are trying to find ways to integrate more functionalities to their AI agents & BrowserBase's browsers are one of those primitive functionalities, & the MCP is just one way to integrate it into your software." Paul Klein IV From 🅱️'s GitHub: Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you’re building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need. This server provides cloud browser automation capabilities using Browserbase and Stagehand. This server enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a cloud browser environment.

Molly O’Shea

20,408 görüntüleme • 1 yıl önce

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!

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 görüntüleme • 1 yıl önce

🚨 Most AI tools only work when you ask them. Wingman doesn’t wait. It keeps working in the background like a real assistant. I set up a Wingman and let it run 👇

🚨 Most AI tools only work when you ask them. Wingman doesn’t wait. It keeps working in the background like a real assistant. I set up a Wingman and let it run 👇

Edward Frank Morris 🦇

18,590 görüntüleme • 5 ay önce

Introducing Enchant One place to use AI tools without building or running your own agent Ask for research, browser work, images, documents, email, and more. Choose a tool, pay a few cents, and get the result One account, no subscriptions - 100+ tools Need something? Just ask Enchant🪄

Introducing Enchant One place to use AI tools without building or running your own agent Ask for research, browser work, images, documents, email, and more. Choose a tool, pay a few cents, and get the result One account, no subscriptions - 100+ tools Need something? Just ask Enchant🪄

Ken Wattana

22,280 görüntüleme • 2 ay önce

With ChatGPT Work, you can kick off cloud tasks directly from the desktop or mobile app. It can use your configured plugins to work across your repos, docs, Slack, and the other tools you already use. I use it constantly from my phone: hand off a task, let it run asynchronously in the cloud, and come back when the work is done.

With ChatGPT Work, you can kick off cloud tasks directly from the desktop or mobile app. It can use your configured plugins to work across your repos, docs, Slack, and the other tools you already use. I use it constantly from my phone: hand off a task, let it run asynchronously in the cloud, and come back when the work is done.

Vaibhav (VB) Srivastav

37,684 görüntüleme • 2 ay önce

Software isn’t merely technical work anymore. It’s creative. Introducing Replit Agent 4. The first AI built for creative collaboration between humans and agents. Design on an infinite canvas, work with your team, run parallel agents, and ship working apps, sites, slides & more.

Software isn’t merely technical work anymore. It’s creative. Introducing Replit Agent 4. The first AI built for creative collaboration between humans and agents. Design on an infinite canvas, work with your team, run parallel agents, and ship working apps, sites, slides & more.

Amjad Masad

3,360,297 görüntüleme • 7 ay önce

Introducing Slackbot's MCP client, now available with more than 20 partner apps! With Slackbot MCP, you can: 🚀 Build an app with Replit ⠕ 📊 Pull a live Amplitude chart ✅ Update a Linear ticket 🎨 Create a Canva design ...and a whole lot more, all without leaving the conversation. Multiply your output with multiplayer work in Slack. Learn more:

Introducing Slackbot's MCP client, now available with more than 20 partner apps! With Slackbot MCP, you can: 🚀 Build an app with Replit ⠕ 📊 Pull a live Amplitude chart ✅ Update a Linear ticket 🎨 Create a Canva design ...and a whole lot more, all without leaving the conversation. Multiply your output with multiplayer work in Slack. Learn more:

Slack

173,762 görüntüleme • 3 ay önce

If you want it done right the first time, hand it to an Opus model (lowest undo rate). Great for the hard stuff… like work that spans four tools. Plug in Salesforce, PostHog, Hex, or any tool via MCP. Ask for a report, and you get analysis, interactive charts, and writing you’d send straight to your team. Near-Fable-level work at half of the cost 🫡

If you want it done right the first time, hand it to an Opus model (lowest undo rate). Great for the hard stuff… like work that spans four tools. Plug in Salesforce, PostHog, Hex, or any tool via MCP. Ask for a report, and you get analysis, interactive charts, and writing you’d send straight to your team. Near-Fable-level work at half of the cost 🫡

Notion

47,449 görüntüleme • 2 ay önce

Lindy AI just announced the first AI employee. You can now create custom AI agents with just a prompt and get them to work natively in your browser for limitless use cases. Sales outreach, personalized emails, automated research…anything! Here’s how to set up your AI agent:

Lindy AI just announced the first AI employee. You can now create custom AI agents with just a prompt and get them to work natively in your browser for limitless use cases. Sales outreach, personalized emails, automated research…anything! Here’s how to set up your AI agent:

Alvaro Cintas

26,802 görüntüleme • 1 yıl önce

Here's a glimpse into what AI agents in knowledge work will look like. With the Box MCP server, you can tell Claude to create a folder structure in Box for an M&A deal and the data checklist. In the future you'll just have background agents automating anything.

Here's a glimpse into what AI agents in knowledge work will look like. With the Box MCP server, you can tell Claude to create a folder structure in Box for an M&A deal and the data checklist. In the future you'll just have background agents automating anything.

Aaron Levie

124,977 görüntüleme • 1 yıl önce

Introducing the Circle MCP. You can connect your community to Claude, ChatGPT, or Gemini and use it to look up members, queue up posts, analyze threads, create spaces, develop courses, send DMs, bulk-create tags, and 100+ other things from your own AI ecosystem. It comes with both read AND write access, which makes it a lot more fun than other MCPs!

Introducing the Circle MCP. You can connect your community to Claude, ChatGPT, or Gemini and use it to look up members, queue up posts, analyze threads, create spaces, develop courses, send DMs, bulk-create tags, and 100+ other things from your own AI ecosystem. It comes with both read AND write access, which makes it a lot more fun than other MCPs!

Sid Yadav

19,952 görüntüleme • 6 ay önce

Setting up your own MCP server shouldn’t take hours. With Composio, you can launch a fully functional MCP server straight from the dashboard in just a few clicks. No setup scripts. No infra headaches. No complex configs. Just a clean, intuitive interface where you click, configure, and go live — all under 60 seconds. Whether you’re building internal tools, powering AI agents, or connecting user workflows — spinning up your server has never been this easy.

Setting up your own MCP server shouldn’t take hours. With Composio, you can launch a fully functional MCP server straight from the dashboard in just a few clicks. No setup scripts. No infra headaches. No complex configs. Just a clean, intuitive interface where you click, configure, and go live — all under 60 seconds. Whether you’re building internal tools, powering AI agents, or connecting user workflows — spinning up your server has never been this easy.

Apoorv | Plxity

18,580 görüntüleme • 1 yıl önce

Most AI tools give you answers. Luo is built to do more than answer. Try it now: It can research your market, analyze competitors, build a plan, connect the tools you already use, run background tasks, and keep the whole workflow moving from one workspace. For solo marketers, that changes the workflow: Idea → Research → Strategy → Execution → Done. Less tab-hopping. Less repetitive work. More time spent on the work that actually matters. The interesting part isn’t AI that talks. It’s AI that works alongside you. ⚡ #AI #Marketing #SaaS

Most AI tools give you answers. Luo is built to do more than answer. Try it now: It can research your market, analyze competitors, build a plan, connect the tools you already use, run background tasks, and keep the whole workflow moving from one workspace. For solo marketers, that changes the workflow: Idea → Research → Strategy → Execution → Done. Less tab-hopping. Less repetitive work. More time spent on the work that actually matters. The interesting part isn’t AI that talks. It’s AI that works alongside you. ⚡ #AI #Marketing #SaaS

Farhan Azad Shuvra

35,073 görüntüleme • 12 gün önce