Doms Jayy

All Ace Data Cloud MCP plugins are now live inside VSCode. 🚢 Not one. Not two. An entire execution layer, now embedded directly into your development environment. Inside VSCode, you can now access: - Image generation (Midjourney, Flux, NanoBanana, Seedream) - Video generation (Sora, Veo, Luma, Seedance) - Music generation (Suno) - Search + data (Serp) - Utility workflows (ShortURL) All powered through the Ace Data Cloud API. What this actually means: Ace Data Cloud is no longer a separate tool. It now lives inside your code editor. The same place you write logic, is now where you generate images, run video models, query data and execute AI workflows. - No context switching. - No jumping between platforms. - No managing multiple subscriptions. You open VSCode and your entire AI stack is already there All accessible on demand, integrated into your workflow, ready to execute when you need it AND you only pay for what you use. Under the hood: - MCP servers standardize how models are accessed and used - Native VS Code extensions remove setup friction - Automated publishing pipelines keep tools continuously updated - Works seamlessly with assistants like Copilot and MCP-compatible agents This is not a plugin release. This is infrastructure moving closer to the builder. Why this matters: Developers don’t need more tools. They need fewer layers between idea and execution. Agents don’t operate across 10 tabs. They operate inside environments. That’s exactly what this unlocks. - ne environment - One API - One execution layer Ace Data Cloud is becoming the operating layer for AI usage. And this is just the beginning.

All Ace Data Cloud MCP plugins are now live inside VSCode. 🚢 Not one. Not two. An entire execution layer, now embedded directly into your development environment. Inside VSCode, you can now access: - Image generation (Midjourney, Flux, NanoBanana, Seedream) - Video generation (Sora, Veo, Luma, Seedance) - Music generation (Suno) - Search + data (Serp) - Utility workflows (ShortURL) All powered through the Ace Data Cloud API. What this actually means: Ace Data Cloud is no longer a separate tool. It now lives inside your code editor. The same place you write logic, is now where you generate images, run video models, query data and execute AI workflows. - No context switching. - No jumping between platforms. - No managing multiple subscriptions. You open VSCode and your entire AI stack is already there All accessible on demand, integrated into your workflow, ready to execute when you need it AND you only pay for what you use. Under the hood: - MCP servers standardize how models are accessed and used - Native VS Code extensions remove setup friction - Automated publishing pipelines keep tools continuously updated - Works seamlessly with assistants like Copilot and MCP-compatible agents This is not a plugin release. This is infrastructure moving closer to the builder. Why this matters: Developers don’t need more tools. They need fewer layers between idea and execution. Agents don’t operate across 10 tabs. They operate inside environments. That’s exactly what this unlocks. - ne environment - One API - One execution layer Ace Data Cloud is becoming the operating layer for AI usage. And this is just the beginning.

A developer pays for an AI subscription. $20, $50, sometimes $200/month. Some days, they don’t even use it. But it still expires. That’s how AI works today. Now imagine a different system: You don’t subscribe. You don’t commit. You don’t waste money. You just call the API when you need it and pay only for what you use. That’s the shift we’re building at AceDataCloud. From locked subscriptions → to on-demand AI infrastructure. And now it goes further. You can access it directly inside your dev environment. Generate images. Generate videos. Build workflows. etc. Without leaving your editor. This is what AI should feel like.