Vamah.ai MCP

Great work JDoodle.ai team.Exciting to see this — it feels like a real step forward. Exposing everything through MCP so the AI can use your full product (run code, 88 languages, APIs) without the assistant having to bear execution cost is smart. And for users, having compile, run, and deploy in one chat instead of switching tools is a big win.Looking forward to using it.

@gokuljd Congrats on the launch. Closing the loop between chat and live deployment is a powerful shift, especially if projects can keep evolving instead of being one-shot generations.I’m curious how you handle trust boundaries when the model can modify backend logic and database schema through MCP. If a prompt or imported snippet contains adversarial instructions, what safeguards prevent unsafe migrations or unintended code paths from making it into a live deployment?

Building and deploying directly from a chat interface removes so much friction from the development process. Curious about the deployment infrastructure — where do the apps get hosted, and how does scaling work?

Do you have any demos of things built purely with JDoodle.ai? It would be great to see the initial prompts and the chat history.

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JDoodle AI MCP is 🔥! Migrated 3 similar no-code→fullstack (Bubble→React+Supabase). Backend scaling hurt most. Tips? Paweł @ Inigra (Clutch 5★)

chat-driven codegen plus “publish a live link” will quickly run into state drift and unsafe execution, especially when multiple iterations touch backend, DB migrations, and secrets in the same session. Best practice: treat each chat change as a Git commit and run it in an ephemeral sandbox (devcontainers or microVMs like Firecracker or gVisor) with CI checks before deploy, and follow MCP OAuth scoping and tool allowlists for least privilege. Question: when MCP requests modify code and schema, do you generate deterministic migration plans with rollback and a diff or PR style review, or is state tracked only inside JDoodle projects?

Hey everyone,ChatGPT and Claude have become a huge part of our workflows. So we built JDoodle.ai MCP to fit directly into that flow.JDoodle.ai MCP connects with ChatGPT or Claude or anything that supports MCP, so you can brainstorm, plan, structure, and build websites and apps inside the chat, while seeing the live preview on JDoodle.ai.As you chat, your project gets created and updated in real time, with instant preview and deployment.This is not just an initial generation. You can keep asking for changes, refining the UI, adding features, fixing issues, and shipping updates, all directly through ChatGPT or Claude.Here’s an easy guide on how you can get started: https://www.jdoodle.ai/docs/mcpWould love your feedback. We’ll be here all day answering any questions.