Learn how to integrate Bolt.new AI with Oracle Database in 2025 using clear steps for seamless automation and smarter workflows.

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To integrate Bolt.new with an Oracle Database, you don’t connect “Bolt itself” to Oracle. Instead, you write backend code inside a Bolt.new project (usually Node.js or Python) that connects to Oracle using Oracle’s standard drivers. You provide Oracle credentials as environment variables, and your Bolt.new backend code uses those to open a real DB connection over the network (if your Oracle server is reachable from the internet or from the Bolt runtime). Once you do that, your AI workspace can scaffold, run, and test code that queries Oracle just like any other external system.
Inside Bolt.new, you create a backend service (Node.js or Python). Then you install the official Oracle client library for that language, expose the correct environment variables, and run queries. This is the same way you would connect any cloud server to Oracle.
// backend/oracle.js
import oracledb from "oracledb";
// Create a reusable connection pool on startup
export async function initOracle() {
// Values should be stored in environment variables inside Bolt.new
await oracledb.createPool({
user: process.env.ORACLE_USER,
password: process.env.ORACLE_PASSWORD,
connectString: `${process.env.ORACLE_HOST}:${process.env.ORACLE_PORT}/${process.env.ORACLE_SERVICE}`
});
}
export async function queryExample() {
const connection = await oracledb.getConnection();
try {
const result = await connection.execute(
"SELECT employee_id, first_name FROM employees WHERE ROWNUM < 5"
);
return result.rows; // rows is an array of arrays or array of objects depending on config
} finally {
await connection.close();
}
}
// backend/routes/employees.js
import { queryExample } from "../oracle.js";
export default async function handler(req, res) {
try {
const rows = await queryExample();
res.status(200).json({ data: rows });
} catch (err) {
res.status(500).json({ error: err.message });
}
}
When the Bolt.new dev server runs, hitting /api/employees will execute a real Oracle query.
Set these in Bolt.new’s Environment Variables panel. Never hardcode credentials.
Use the official Oracle driver python-oracledb. In “thin” mode it does not require the Instant Client, which is simpler for cloud sandboxes like Bolt.new.
# backend/oracle_client.py
import oracledb
import os
def get_connection():
return oracledb.connect(
user=os.environ["ORACLE_USER"],
password=os.environ["ORACLE_PASSWORD"],
dsn=f'{os.environ["ORACLE_HOST"]}:{os.environ["ORACLE_PORT"]}/{os.environ["ORACLE_SERVICE"]}'
)
def query_example():
conn = get_connection()
cur = conn.cursor()
cur.execute("SELECT employee_id, first_name FROM employees WHERE ROWNUM < 5")
rows = cur.fetchall()
conn.close()
return rows
You integrate Bolt.new AI with Oracle by writing backend code (Node or Python) inside Bolt.new, installing official Oracle client libraries, and connecting via standard Oracle connection strings stored in environment variables. The database must be publicly reachable or network-accessible by the Bolt runtime. No special “Bolt integration” exists — you’re simply running normal backend code inside Bolt that talks to Oracle over TCP using Oracle’s own drivers.
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