How to Build a Full-Stack App on Lovable with a Production-Ready Aiven Database

Lovable's agent provisioned a managed Aiven for PostgreSQL database, wrote the application's data layer against it, and deployed the whole application to Aiven Runtime, without ever seeing the database credentials.

Lovable is fast at the part that used to take a week. Describe an application, and you have a working interface in minutes.

Lovable already has an answer for the backend. Its built-in Cloud backend is enabled by default and runs on Supabase's open-source foundation, and you can connect your own Supabase project instead. Both are reasonable places to start. Neither puts the database in an account you already own, in the cloud and region you picked, next to the rest of your data platform.

That is the gap this post closes. Connect the Aiven MCP to Lovable once, and Lovable's agent can operate on your Aiven account: list projects, provision a PostgreSQL service, create tables, seed data, and deploy the finished application to Aiven Runtime. You specify the product. The agent handles the infrastructure.

We recorded a full session. This post walks through what happened and which parts are worth copying.

What the Aiven MCP does

The Model Context Protocol is a standard interface for AI agents calling external tools. The Aiven MCP exposes the Aiven platform through that interface: projects, service plans, clouds, provisioning, PostgreSQL reads and writes, and application deploys.

Because it implements a standard, it is not specific to Lovable. It works the same way from Claude, Cursor and VS Code Copilot, which we covered in Aiven MCP: Build on Aiven from Your AI Agent. What follows is the same Aiven MCP used as the backend for a Lovable application.

Connecting Lovable to Aiven

One prerequisite. An organization admin enables MCP access in the Aiven Console under Admin settings > Authentication > Allow MCP connection. Without it, MCP clients cannot connect for anyone in the organization.

In Lovable, open Connectors, select Custom MCP, and add the Aiven MCP URL:

Loading code...

Authentication uses OAuth 2.0 with PKCE. Lovable redirects to Aiven for authorization, so there are no API keys to move between systems. Lovable then lists the individual Aiven tools the connector exposes, each of which you can allow or deny.

MCP connectors in Lovable are build-time tools: they give the agent context and capability while it works, not a runtime connection for the deployed application. That distinction matters later, when the app needs its own credentials.

By default the Aiven MCP redacts service connection information, so the agent never receives your database URI, password or certificates. It can still create tables and run queries, because those calls go through Aiven MCP tools rather than a direct database connection.

The connector can be narrowed further. Setting services_scope=pg restricts it to PostgreSQL tools; AIVEN_READ_ONLY=true produces a connection that can inspect but not modify; AIVEN_WRITE_ALLOWLIST re-enables named write tools inside a read-only connection. The shared responsibility model is worth reading before pointing an agent at any project that matters.

The agent resolves the infrastructure questions

We asked for a task-management application: a list with priorities, tags and estimated completion times. Lovable built the interface first, then turned to Aiven for storage.

Rather than choosing defaults, it queried the account through the Aiven MCP tools and put four decisions back to us.

• Which Aiven project should hold the database. It listed the projects on the account and we selected a sandbox.
• What to provision for the tasks. It proposed Aiven for PostgreSQL®.
• Which plan. It presented the free tier, a small paid plan and a production plan, with the tradeoffs for each. We selected startup-4, which provides 1 CPU, 4 GB RAM and 80 GB of storage. Plans and prices for every service are in the Aiven pricing calculator.
• Which cloud and region. It retrieved the clouds available to the project and we chose Google Cloud europe-west1.

The service then began provisioning while Lovable continued building the frontend.

Those four questions are the substance of the integration. Plan, project, cloud and region carry cost and compliance consequences, and an agent that picks them silently is a liability. Presenting them as explicit choices, populated from the actual account, keeps the decisions with the person accountable for them.

Schema, data and verification

Once the service was ready, the agent checked its status, confirmed it was RUNNING, created the tasks table and seeded it with sample rows. All of that ran through Aiven MCP tools, so no connection string was involved.

The running application does need one. We copied the service URI from the Aiven Console and added it to Lovable as a secret named AIVEN_DATABASE_URL. The value goes into Lovable's secret store rather than into the conversation, so the database password stays out of the prompt history and out of the agent's context.

The result is inspectable through the normal Aiven tooling. In the Aiven Console, PG Studio showed the tasks table on the schema map, and SELECT * FROM public.tasks returned the same five rows the application interface was rendering, in 0.032 seconds. The application and the console were reading the same managed Postgres.

Deploying to Aiven Runtime

The final instruction was to deploy. The agent prepared the application for a container build, editing the Dockerfile, .dockerignore and the server-side database client, then asked how the deployed application should obtain its database credentials.

The recommended option is an Aiven service integration, which injects the database credentials into the deployed application as DATABASE_URL and rotates them with the service. That replaces the secret we pasted by hand for local development, so there is no connection string to copy between platforms and none to go stale six months later.

The build ran on Aiven infrastructure, including artifact security scanning, with build logs available in the console. The application came up on its own *.aiven.app URL, reading and writing PostgreSQL in the same project and region as the database.

One step remained manual. Aiven Runtime builds from a Git repository, and repository creation is a Lovable interface action, so the agent could not complete it. Everything on the Aiven side was automated.

Why run your Lovable database on Aiven?

Six things change the moment the database is an Aiven service rather than part of the builder.

It lives in your own account. The service is created in your Aiven organization, under the billing, access control and audit trail your team already uses.

The application runs next to its data. Aiven Runtime builds and hosts the application itself, so the deployed server and the PostgreSQL service sit in the same project and region instead of calling across providers.

You choose the cloud and the region. Aiven runs on AWS, Google Cloud, Azure and others, and plan, cloud and region are picked at provisioning time from what the project allows. For teams with data residency obligations, that is not a decision to leave to a default.

Credentials rotate instead of being copied. An Aiven service integration injects DATABASE_URL into the deployed application and rotates it with the service, so no long-lived connection string sits pasted between two platforms.

It is more than Postgres. Apache Kafka®, OpenSearch® and Valkey™ sit in the same project behind the same Aiven MCP tools, so adding streaming or search later is another service rather than another vendor.

It arrives managed. Backups, metrics, logs, PG Studio and query statistics are available from the first commit, not bolted on when the prototype turns real.

Lovable Cloud, built on Supabase's open-source foundation, is on by default and is a fine place to validate an idea. Aiven is where the database goes when it has to outlive the prototype.

Reproducing this setup

1. Ask an organization admin to enable Allow MCP connection under Admin settings > Authentication.
2. In Lovable, add a custom MCP connector pointing at https://mcp.aiven.live/mcp and complete the OAuth flow.
3. Describe your application and let Lovable provision Aiven for PostgreSQL. The free tier with 1 CPU and 1 GB RAM is sufficient for the provisioning and data-layer steps. The deploy step requires a paid plan, because the free tier does not support service integrations and integrations are how credentials reach the deployed application.
4. When the app needs to connect, copy the service URI from the Aiven Console and add it to Lovable as a secret.
5. Instruct the agent to deploy, and select the Aiven service integration when asked about credentials.

Aiven Runtime is currently in Limited availability.

If you are new to Aiven, sign up for free plans and trial credits. The Aiven MCP is open source and available on GitHub.