A practical playbook for improving day-to-day delivery: connect Slack, Jira, Monday.com, and GitHub using MCP-based AI agents for notifications, triage, status sync, code review feedback loops, and automated follow-ups.
Most teams don’t have a “productivity” problem — they have a context-switching problem. Slack pings, Jira tickets, Monday boards, GitHub PRs… the work is spread across tools, and people spend the day stitching it together.
This post is a practical approach for improving day-to-day delivery using automation + AI agents, powered by MCP (Model Context Protocol).
- Notifications that matter: the right signal, the right channel
- Bi-directional status sync: Jira/Monday ↔ GitHub PRs
- Feedback loops: code review summaries + next actions
- Triage assistance: categorize, route, and prioritize incoming work
- Follow-ups: reminders, “stale PR” nudges, and handoff notes
When a PR is opened:
- Parse branch name / PR title for issue keys
- Update Jira/Monday item with PR link, status, reviewer, ETA
- Post a short Slack message to the right channel (team/project)
When a PR is merged:
- Move Jira status to Done / Ready for QA
- Move Monday item to “Done” and attach release notes
- Notify stakeholders in Slack
When reviews come in:
- Summarize review comments into 3–7 actionable bullets
- Classify: correctness, security, performance, DX, style
- Open follow-up tasks (Jira/Monday) when needed
- Post the summary to Slack for fast iteration
This is where tools like CodeRabbit help: the agent can consolidate feedback into a single next-action list and reduce reviewer fatigue.
Daily/weekly automation:
- Detect PRs with no activity for N days
- Detect Jira items “In Progress” with no commits
- Detect Monday items blocked > X days
- Send a friendly Slack nudge with context + suggested next action
The key is tone + frequency: quiet nudges beat noisy alerts.
- Scope: allow the agent to act only in specific projects/repos/boards
- Permissions: use least-privilege tokens; separate read vs write
- Human-in-the-loop: require confirmation for state-changing actions (optional)
- Rate limiting: protect Slack and GitHub APIs
- Auditability: log every action and the reason it happened
- Determinism: prefer rules + structured prompts over “free-form” decisions
Start with one workflow:
1) PR opened → update Jira/Monday + Slack notification
2) Measure: review cycle time, handoff time, and missed updates
3) Add the next workflow (review summaries, stale nudges)
The biggest win is consistency: teams stop losing time on status updates and regain focus for engineering work.