Build with full memory: Vilix + Lovable

How to add Vilix as a personal MCP connector in Lovable, and the workflow it unlocks: plan and research in your AI tools, capture decisions and tasks in Vilix, then let Lovable build with all of that context already in hand.

Lovable builds apps from a prompt. The quality of what it ships depends almost entirely on how much it understands about what you actually want, the stack you standardized on, the decisions you already made, the tasks you already scoped. Most of that context lives in other tools: a planning thread in ChatGPT, an architecture discussion in Claude, a research pass in Manus. Vilix is what carries it into Lovable, so the build agent starts with the full picture instead of a one-line brief.

Connecting it takes about a minute. Then the workflow is the interesting part.

Connect Vilix as a personal MCP server in Lovable

In Lovable:

1. Open Settings → Connectors → Personal connectors.
2. Choose New MCP server.
3. Name it Vilix and set the Server URL to api.vilix.ai/mcp.
4. Authenticate (OAuth) and save.

Connectors in Lovable are free and per-user, so there is no plan gate to clear and nothing to configure per project. Once it is saved, Vilix is available to your builds.

The workflow: build with full cross-tool memory

Here is where it pays off. A typical build with Vilix in the loop looks like this:

• Plan the product in ChatGPT or Claude, the features, the constraints, the “don’t do it this way” calls.
• Research with an agent like Manus, competitors, APIs, the approach you settled on.
• Capture the decisions and scope as tasks in Vilix, so they are structured and retrievable rather than buried in a chat.
• Build in Lovable with Vilix connected, the build agent can now read that project context and works from your actual decisions and tasks, not a guess.

The result is fewer rounds of “no, we decided against that”. The build agent is not re-litigating settled questions because the answers are already in front of it. This is the same principle behind not re-explaining your project to AI every time , applied to the moment you generate the app.

What to expect, and what not to

Be clear about the shape of this integration so it lands right. In Lovable, Vilix feeds context to the build agent at build time. It is not a persistent chat surface where personal memory accumulates turn-to-turn the way it does in Claude, ChatGPT, or Manus. Think of it as giving the builder a complete, current brief drawn from everywhere else you work, not as turning Lovable into a memory client.

That framing is the whole value: the planning and the decisions happen in the tools built for it, and Lovable consumes the result. Vilix is the wire between them.

Frequently asked questions

How do I connect Vilix to Lovable?

In Lovable, go to Settings → Connectors → Personal connectors → New MCP server, name it Vilix, set the Server URL to api.vilix.ai/mcp, authenticate, and save.

Is there a paid plan or extra cost to connect Vilix?

Personal connectors in Lovable are free and per-user, so there is no plan gate on the Lovable side. You will need a Vilix account, which you can start free for 7 days.

Does Lovable remember context between builds like a chat tool?

Lovable uses the connected context to inform the build agent; it is not a persistent personal-memory chat surface. Your memory lives in Vilix and travels with your account, Lovable reads from it at build time.

Where should I plan and capture the context?

In the tools built for it, ChatGPT, Claude, Cursor, or Manus, with Vilix connected so the decisions and tasks are saved. Lovable then builds with all of it in hand.