Business Problem
Engineering teams spend 20-40% of their time on code review cycles. PRs sit idle waiting for reviewers, tests run manually, and merge conflicts pile up during peak development periods.
Solution Overview
Connect GitHub MCP Server with Slack MCP Server and an AI agent to automatically review PRs for common issues, trigger CI tests, notify reviewers, and auto-merge when all checks pass.
Implementation Steps
Set Up GitHub MCP Server
Configure the GitHub MCP Server with a personal access token that has repo and pull request permissions.
Connect Slack Notifications
Set up the Slack MCP Server to post PR status updates to your team's development channel.
Define Review Rules
Create an agent workflow that checks PR size, test coverage, linting results, and security scanning.
Implement Auto-Merge Logic
Configure conditions for auto-merging: all checks pass, at least one approval, no merge conflicts.
const pr = await github.getPullRequest({ owner, repo, number });
if (pr.mergeable && pr.reviews.approved >= 1 && pr.checks.allPassing) {
await github.mergePullRequest({ owner, repo, number, method: 'squash' });
await slack.sendMessage({ channel: '#deploys', text: `PR #${number} merged!` });
}Monitor and Iterate
Track merge times, review quality, and team satisfaction to fine-tune the automation.
Code Examples
async function reviewPR(pr) {
const files = await github.listPullRequestFiles({ owner, repo, pull_number: pr.number });
const largeFiles = files.filter(f => f.changes > 500);
if (largeFiles.length > 0) {
await github.createComment({
owner, repo, issue_number: pr.number,
body: `⚠️ Large changes detected in ${largeFiles.length} files. Consider splitting this PR.`
});
}
}