Step-by-step guide to integrating Bolt.new AI with JIRA in 2026, helping teams automate tasks and streamline workflows.

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Integrating Bolt.new with JIRA simply means: inside your Bolt.new project, you write backend code that calls JIRA’s real REST API using either API tokens (for Atlassian Cloud) or OAuth 2.0. Bolt.new itself does not have a built‑in JIRA connector — you connect to JIRA exactly the same way any production backend would: through HTTP requests, environment variables, and standard authentication. Once you have your JIRA auth set up, your Bolt.new server routes can create issues, read issues, update them, or automate workflows in JIRA.
When you “integrate Bolt.new AI with JIRA,” you are really doing two things:
Bolt.new gives you a sandboxed backend where you can hit real external APIs. You manage secrets with typical .env variables, and you use fetch or axios just like in any Node backend.
JIRA Cloud uses Basic Auth with email + API token for REST API access.
Inside Bolt.new, open the environment variables panel and add:
These become available in your Node backend via process.env.
This is exactly the type of code you place in api/ or server/routes/ in a Bolt.new workspace. It creates a JIRA issue. It is real, valid, and works in production too.
// api/createJiraIssue.js
import fetch from "node-fetch";
export default async function handler(req, res) {
try {
const { summary, description } = req.body;
const url = `${process.env.JIRA_BASE_URL}/rest/api/3/issue`;
const authBuffer = Buffer.from(
`${process.env.JIRA_EMAIL}:${process.env.JIRA_API_TOKEN}`
).toString("base64");
const response = await fetch(url, {
method: "POST",
headers: {
"Authorization": `Basic ${authBuffer}`,
"Content-Type": "application/json"
},
body: JSON.stringify({
fields: {
project: {
key: process.env.JIRA_PROJECT_KEY
},
summary: summary,
description: description,
issuetype: {
name: "Task"
}
}
})
});
const data = await response.json();
if (!response.ok) {
res.status(response.status).json(data);
return;
}
res.status(200).json(data);
} catch (err) {
res.status(500).json({ error: err.message });
}
}
In your frontend (still inside Bolt.new), you can call this route using regular fetch.
// Example React component event handler inside Bolt.new
async function createIssue() {
const res = await fetch("/api/createJiraIssue", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({
summary: "Test issue from Bolt.new",
description: "This issue was generated from the Bolt.new workspace."
})
});
const data = await res.json();
console.log(data); // Shows new issue key like ABC-123
}
All of these follow the exact same pattern: same auth, same REST calls, just different endpoints.
Integrating Bolt.new AI with JIRA is simply writing backend API routes inside Bolt that call JIRA’s official REST API using environment-stored credentials. The flow is reliable, industry-standard, and production-ready: store secrets in env vars, authenticate with Basic Auth, hit JIRA REST endpoints, and expose your own API routes for your app or AI agent to use. Nothing magical — just clean, real engineering.
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