Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

Today, we're introducing Imagine MCP 👾 It elimenates the gap between ideation and execution. Living inside the AI agent of your choice, whether that's Claude, Cursor, or Hermes, Imagine MCP puts some of ImagineArt's most powerful creative features at your fingertips. We wish you happy, frictionless scaling. 📥 Comment... show more

ImagineArt

21,495 subscribers

1,158,629 views • 1 month ago •via X (Twitter)

Arts Education Science & Technology

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

Ad Studio is now inside Imagine MCP. Ad Studio lets your ads get seen, get watched, and become memorable. Putting it inside Imagine MCP takes another layer of friction out of the process. Open your MCP client of choice, Claude for instance, and just talk to it. Tell it about your product, describe the ad you have in your head, and it handles the build from there.

Ad Studio is now inside Imagine MCP. Ad Studio lets your ads get seen, get watched, and become memorable. Putting it inside Imagine MCP takes another layer of friction out of the process. Open your MCP client of choice, Claude for instance, and just talk to it. Tell it about your product, describe the ad you have in your head, and it handles the build from there.

ImagineArt

594,013 views • 10 days ago

Best believe agents are doing fashion now. And no, not the 007 kind. Fashion Studio runs inside your MCP client now through Imagine MCP. Do fashion right where you brainstorm. Comment "Imagine MCP" and get the link.

Best believe agents are doing fashion now. And no, not the 007 kind. Fashion Studio runs inside your MCP client now through Imagine MCP. Do fashion right where you brainstorm. Comment "Imagine MCP" and get the link.

ImagineArt

227,874 views • 5 days ago

Imagine MCP 🤝 Cursor Yes, you. Stop alt-tabbing. ImagineArt is in Cursor now, MCP integration. Your agent does the visuals. Nano Banana Pro, Seedance 2.0, all of it.

Imagine MCP 🤝 Cursor Yes, you. Stop alt-tabbing. ImagineArt is in Cursor now, MCP integration. Your agent does the visuals. Nano Banana Pro, Seedance 2.0, all of it.

ImagineArt

1,106,984 views • 1 month ago

Meet OpenArt MCP 🧩 One connection. all the top models. Your agent does the rest. Seedance 2.0 · GPT Image 2 · Kling 3 Omni - and the only connector with access to your full OpenArt library. Works inside Claude, ChatGPT, Cursor, and all the other MCP clients. The era of agentic creative is here 👇

Meet OpenArt MCP 🧩 One connection. all the top models. Your agent does the rest. Seedance 2.0 · GPT Image 2 · Kling 3 Omni - and the only connector with access to your full OpenArt library. Works inside Claude, ChatGPT, Cursor, and all the other MCP clients. The era of agentic creative is here 👇

OpenArt

2,196,456 views • 1 month ago

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

193,181 views • 1 year ago

Introducing Runway MCP. Now you can connect Runway directly into Claude, ChatGPT, Cursor, Replit and more. Generate polished images and videos with state-of-the-art models, like Gen-4.5, Seedance 2.0, GPT Images 2.0, Kling and more. Right from where you're already working. Connect the MCP to your agent in seconds at the link below.

Introducing Runway MCP. Now you can connect Runway directly into Claude, ChatGPT, Cursor, Replit and more. Generate polished images and videos with state-of-the-art models, like Gen-4.5, Seedance 2.0, GPT Images 2.0, Kling and more. Right from where you're already working. Connect the MCP to your agent in seconds at the link below.

Runway

620,373 views • 2 months ago

Today we're launching Amplitude MCP MCP was made for data analytics. Ask a vague question and have an AI model iteratively query Amplitude to find you insights. Amplitude MCP exposes all of Amplitude's functionality so an agent can interact with it directly. It allows you to use Amplitude without having to know anything about Amplitude's user interface or your data taxonomy. It uses the intelligence of off the shelf AI agents, including Claude, Gemini, and Cursor, to query Amplitude data you already have to find answers. It leverages all of your existing Amplitude data and how it's used to navigate through large complex behavioral datasets. You can have conversations about your product data directly inside any AI model with MCP. It can create Amplitude dashboards and notebooks with what it finds and even make recommendations. This is the best MCP use case I've ever seen. Watching an AI agent think, reason, query Amplitude, and then repeat that process iteratively is magical. See it in action:

Today we're launching Amplitude MCP MCP was made for data analytics. Ask a vague question and have an AI model iteratively query Amplitude to find you insights. Amplitude MCP exposes all of Amplitude's functionality so an agent can interact with it directly. It allows you to use Amplitude without having to know anything about Amplitude's user interface or your data taxonomy. It uses the intelligence of off the shelf AI agents, including Claude, Gemini, and Cursor, to query Amplitude data you already have to find answers. It leverages all of your existing Amplitude data and how it's used to navigate through large complex behavioral datasets. You can have conversations about your product data directly inside any AI model with MCP. It can create Amplitude dashboards and notebooks with what it finds and even make recommendations. This is the best MCP use case I've ever seen. Watching an AI agent think, reason, query Amplitude, and then repeat that process iteratively is magical. See it in action:

Spenser Skates

32,332 views • 9 months ago

We just launched Comfy MCP in public beta, the first MCP built for production pipelines. Connect Claude, Codex, Cursor, or Hermes to the entire ComfyUI ecosystem. → Run any workflow in natural language → Search models, nodes, and templates → Share a workflow URL - your agent picks it up → Re-run saved workflows on new inputs without touching a single node → Hundreds of pre-built workflows. Always auto-updated 20 product-placement images for your brand ads. Character design for your game art. Script-to-shot ideation at scale and so on! Your agent is now a creative technologist.

ComfyUI

230,500 views • 1 month ago

Biology doesn't happen in one place. We're bringing Biomni Lab from your browser to your phone, your desktop, and your agent of choice via MCP. Biomni comes with you wherever your work happens. Sign up for the closed beta (Mobile and Desktop): Use Biomni MCP today: Blog:

Biology doesn't happen in one place. We're bringing Biomni Lab from your browser to your phone, your desktop, and your agent of choice via MCP. Biomni comes with you wherever your work happens. Sign up for the closed beta (Mobile and Desktop): Use Biomni MCP today: Blog:

Phylo

25,107 views • 1 month ago

Our Unity AI Beta will allow you to leverage your choice of third-party agent inside Unity via the AI Gateway or an MCP Server to communicate with Unity from elsewhere, like your preferred IDE.

Our Unity AI Beta will allow you to leverage your choice of third-party agent inside Unity via the AI Gateway or an MCP Server to communicate with Unity from elsewhere, like your preferred IDE.

Unity for Games

22,965 views • 4 months ago

Your AI can now publish all your social media posts. Introducing the Social0 MCP Server. Connect Claude, Cursor, OpenClaw, Hermes, or any MCP - compatible AI assistant and simply ask: Would love your feedback ❤️ Resources down below👇 Example usecases : • "Publish this post to LinkedIn." • "Schedule this thread for tomorrow at 9 AM." • "Show my scheduled posts." No dashboard required. Just natural language.

Your AI can now publish all your social media posts. Introducing the Social0 MCP Server. Connect Claude, Cursor, OpenClaw, Hermes, or any MCP - compatible AI assistant and simply ask: Would love your feedback ❤️ Resources down below👇 Example usecases : • "Publish this post to LinkedIn." • "Schedule this thread for tomorrow at 9 AM." • "Show my scheduled posts." No dashboard required. Just natural language.

Abhishek B R

49,400 views • 17 days ago

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 views • 1 year ago

Stop what you are doing and get your product on Claude and ChatGPT via MCP! Everyone does most of their work in AI apps now -> let users discover and use you right there. We built Manufact to be the cloud that takes your MCP from first commit to listed.

Stop what you are doing and get your product on Claude and ChatGPT via MCP! Everyone does most of their work in AI apps now -> let users discover and use you right there. We built Manufact to be the cloud that takes your MCP from first commit to listed.

pederzh

47,313 views • 2 days ago

Introducing Chroma Package Search Enable your AI agents to search the source code of your package dependencies Includes 3 MCP tools: package_search_hybrid() package_search_grep() package_search_read_file() Add it to Cursor, Claude Code, VS Code, and Codex in 5 seconds

Introducing Chroma Package Search Enable your AI agents to search the source code of your package dependencies Includes 3 MCP tools: package_search_hybrid() package_search_grep() package_search_read_file() Add it to Cursor, Claude Code, VS Code, and Codex in 5 seconds

Chroma

41,833 views • 10 months ago

I built an mcp server to give Cursor the ability to find and add cursor rules to your project no more manual search or commands needed just ask the agent and get back to vibe coding in your language of choice - easy peasy watch the demo and grab the json in replies ↓

I built an mcp server to give Cursor the ability to find and add cursor rules to your project no more manual search or commands needed just ask the agent and get back to vibe coding in your language of choice - easy peasy watch the demo and grab the json in replies ↓

Ian Nuttall

43,082 views • 1 year ago

X just made itself plug straight into AI tools with MCP servers. Your agents can now search and post on X directly. Not only read about it. Grok Build, Cursor, Claude, VS Code. All in. What you get: * X MCP; search posts, trends, bookmarks, even publish Articles * Docs MCP; API docs inside your workflow, no tab switching Setup is straightforward: * Go to create an X app * Enable OAuth 2.0; required for authentication * Add redirect URI; * Copy your CLIENT_ID and CLIENT_SECRET * Plug those into your MCP client or config * Run the setup commands; connect X MCP and Docs MCP * Log in once via browser; approve access * Verify; run grok mcp doctor xapi and grok mcp list Log in once. Done. Your workflow now includes X itself. X

X just made itself plug straight into AI tools with MCP servers. Your agents can now search and post on X directly. Not only read about it. Grok Build, Cursor, Claude, VS Code. All in. What you get: * X MCP; search posts, trends, bookmarks, even publish Articles * Docs MCP; API docs inside your workflow, no tab switching Setup is straightforward: * Go to create an X app * Enable OAuth 2.0; required for authentication * Add redirect URI; * Copy your CLIENT_ID and CLIENT_SECRET * Plug those into your MCP client or config * Run the setup commands; connect X MCP and Docs MCP * Log in once via browser; approve access * Verify; run grok mcp doctor xapi and grok mcp list Log in once. Done. Your workflow now includes X itself. X

Mario Nawfal

59,976 views • 28 days ago

Those MCP totally 10x my Cursor workflow… - It reads my browser console / network log - It use Replicate to generate UI assets - It reads my supabase & figma ... Here I shared some of my fav MCP & how to install them, As well as the EASIST way to create your own MCP (Thanks to Cloudflare 's MCP-worker) 0:00 Cursor MCP overview 2:35 How to install common MCP 5:49 Let cursor read console/network log 7:24 Build yoru own MCP If you want to learn more about advanced AI coding workflow, join my community where I post tips weekly:

Those MCP totally 10x my Cursor workflow… - It reads my browser console / network log - It use Replicate to generate UI assets - It reads my supabase & figma ... Here I shared some of my fav MCP & how to install them, As well as the EASIST way to create your own MCP (Thanks to Cloudflare 's MCP-worker) 0:00 Cursor MCP overview 2:35 How to install common MCP 5:49 Let cursor read console/network log 7:24 Build yoru own MCP If you want to learn more about advanced AI coding workflow, join my community where I post tips weekly:

Jason Zhou

287,888 views • 1 year ago

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 views • 1 year ago

Excited to launch on ProductHunt today! Rube is the universal MCP server that connects your AI chat (Cursor, Claude, VSCode, etc.) to 500+ apps including Slack, Notion, Figma. Just add Rube and start taking actions across all your apps within your MCP client. We have been teasing Rube's magical ability of connecting anything and everything over the past week through absurdist videos. It has already become an essential part of workflows of our early users. Looking forward to your feedback! Would really appreciate your support on our launch page. Link in the first comment.

Excited to launch on ProductHunt today! Rube is the universal MCP server that connects your AI chat (Cursor, Claude, VSCode, etc.) to 500+ apps including Slack, Notion, Figma. Just add Rube and start taking actions across all your apps within your MCP client. We have been teasing Rube's magical ability of connecting anything and everything over the past week through absurdist videos. It has already become an essential part of workflows of our early users. Looking forward to your feedback! Would really appreciate your support on our launch page. Link in the first comment.

Karan Vaidya

40,463 views • 11 months ago

Say goodbye to leaving Figma just to use AI. Today, we're bringing powerful AI agents directly into your Figma canvas. No terminal. No MCP configs. No developer setup. Anima Agent is a chat inside Figma. Describe what you want → it builds on the canvas, using your actual design system. Install the plugin. Start designing. That's it.

Say goodbye to leaving Figma just to use AI. Today, we're bringing powerful AI agents directly into your Figma canvas. No terminal. No MCP configs. No developer setup. Anima Agent is a chat inside Figma. Describe what you want → it builds on the canvas, using your actual design system. Install the plugin. Start designing. That's it.

Anima

13,035,403 views • 3 months ago