Arie M. Prasetyo arisetyo

How-to connect Copilot to Atlassian

Below is a short tutorial on how you can connect Copilot agent in VS Code to Atlassian through an MCP server.

Ensure the following are installed or accessible:

	<head>
	<title><%= title %></title>
	<script src="https://unpkg.com/htmx.org@2.0.4"></script>
	<script src="https://unpkg.com/alpinejs" defer></script>
	<link rel="stylesheet" href="/styles.css">
	</head>

	/**
	* Example of a simple data request to a Google Sheet spreadsheet.
	* Requirements:
	* 1. Make sure the spreadsheet is public
	* 2. Get an API key from Google Developer Console
	*/
	const axios = require('axios');

	const apiKey = "YOUR_GOOGLE_DEVELOPER_API_KEY";

	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="UTF-8">
	<meta name="viewport" content="width=device-width, initial-scale=1.0">
	<meta http-equiv="X-UA-Compatible" content="ie=edge">
	<title>Local storage</title>
	<style>
	body {
	font-family: Arial, Helvetica, sans-serif;

	<!DOCTYPE html>
	<html lang="en">
	<head>
	<title>Beams SDK integration</title>
	</head>
	<body>
	<h1>Beams SDK integration</h1>

	<!-- Install the SDK -->
	<script src="https://js.pusher.com/beams/1.0/push-notifications-cdn.js"></script>

	/**
	* @author Arie M. Prasetyo
	*/

	const mongoose = require('mongoose');
	const mongoConfig = {useNewUrlParser: true, useUnifiedTopology: true};

	// connect to Mongo database
	mongoose.connect('mongodb://localhost:27017/test', mongoConfig);
	// define the model

	var express = require('express'),
	redis = require('redis'),
	logger = require('morgan'),
	bodyParser = require('body-parser');

	var client = redis.createClient(),//CREATE REDIS CLIENT
	app = express();

	app.use(logger("tiny"));
	app.use(bodyParser.urlencoded({ extended: false }))

	var page = require('webpage').create();

	var url = 'http://phantomjs.org/quick-start.html';

	//SPECIFY VIEWPORT SIZE OF THE SCREENCAPTURE
	page.viewportSize = {
	width: 1280,
	height: 900
	};

	pendaftarSummary <- function(highschool) {
	filename <- paste(highschool,".csv", sep="")
	tmp <- read.csv(filename)

	S <- summary(tmp$Jumlah.UN)
	L <- length(tmp$No)

	list(S = S, L = L)
	}