AI agents for Bitbucket
A Monmo agent works in Bitbucket the way a developer who knows your Jira board would. It reviews pull requests against the issue they close, explains failed Pipelines steps, reports what reached each deployment environment and tidies stale branches. It works through your own Bitbucket Cloud account, writes code on its own computer, and asks before it pushes, comments, merges or deletes.
Updated 2026-11-13 · Free to start. Paid plans from $15 a month.
What agents do in Bitbucket
Review against the Jira issue
It reads the pull request diff together with the linked Jira issue's acceptance criteria, checks each criterion is covered by code or tests, and drafts comments where one is missing. Posting asks first.
AskReview pull request 63 against PAY-210 and tell me which acceptance criteria are not covered.
Explain a failed Pipelines step
When a step in bitbucket-pipelines.yml fails, it reads that step's log, finds the first error, checks whether the same step passed on the previous commit and tells you what changed.
AskThe build step failed on the release branch. What is the first real error and what changed since it last passed?
Report what was deployed
Each morning it lists what reached staging and production the day before, with the Jira issues in each deployment, and drafts a short release note for the team page in Confluence.
AskEvery weekday at 9, tell me what was deployed to production yesterday and which Jira issues it included.
Chase waiting reviews
It finds pull requests that have waited more than two working days for a reviewer, notes how large each one is, and drafts a nudge for each reviewer in Slack or Microsoft Teams for you to allow.
AskWhich pull requests in the mobile workspace have waited more than two days for review? Draft a nudge for each reviewer.
Tidy stale branches
Once a month it lists branches already merged or untouched for 90 days, with their last author and any open pull request. Deleting a branch asks first, and you can untick any of them.
AskList branches in the api repository merged or untouched for 90 days, and propose which to delete.
Make a small change on a branch
Given a clear issue, it clones the repository on its own computer, creates a branch named after the Jira key, makes the change and runs the tests. Pushing it and raising the pull request ask first.
AskPick up PAY-233, the missing currency symbol on receipts. Make the change on a branch and show me the diff.
Audit branch permissions
It checks each repository in a workspace for a main branch without branch permissions or merge checks, and lists what is missing so you can decide what to tighten. Changing settings asks first.
AskWhich repositories in our workspace let people push straight to main without a pull request?
How it connects
- 1You connect your own Bitbucket Cloud account once. The agent reaches the workspaces and repositories that account can open, with the same read or write access it has on each.
- 2You choose which agents may use Bitbucket. An engineering agent needs it; an operations agent might read deployments for a weekly report. Give Jira and Confluence to the same agent if it should link work across them.
- 3Reading code, pull requests, pipelines and deployments happens without asking. Pushing, commenting, approving, merging, running a pipeline, deleting a branch or changing repository settings asks first.
More in Developer and IT
Other apps of this kind that agents work in, each with its own page.
Questions people ask
Can an AI agent work with Bitbucket and Jira together?
Yes, when both are connected. The agent reads the Jira issue a pull request refers to, checks the change against its acceptance criteria, and can report which issues went out in each deployment. It drafts Jira comments and transitions too, and asks before saving any of them.
Can it fix Bitbucket Pipelines failures?
It traces the failure and drafts the fix. The AI agent reads the failed step's log, compares it with the last passing run and reproduces the problem on its own computer where it can. The fix goes on a branch, and pushing it to start a new pipeline asks first.
Will it merge pull requests in Bitbucket?
Only with your approval, each time. The card shows the pull request, the target branch, the build status and the reviewers who approved. Your merge checks and branch permissions still apply, so a merge they would refuse stays refused, through the Bitbucket connection, or in its own browser when the connection does not cover something.
What access does the agent need in Bitbucket?
Only what the job needs. For reviews and reports, read access to the repositories is enough. For writing code it needs write access to the repositories it works in. Keep workspace administration with a person, so settings and permissions stay under your control.