Securely connect AI coding assistants to Bitbucket Data Center operations.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "bitbucket-dc-mcp" yet — see the docs or source repo.
Connect to Bitbucket Data Center and list the latest 10 pull requests in the my-team/payment-service repository with title, author, status, and last updated time, then highlight the ones I should prioritize.
A pull request list with prioritization recommendations based on urgency or risk.
Inspect active branches in the platform/api-gateway repository, summarize key commits from the last 7 days for each branch, and point out changes that may affect release stability.
A branch and commit summary with potential release risks and key watchouts.
In Bitbucket Data Center, find open pull requests in the infra/deployment-scripts repository that have not been updated for more than 3 days, compile the reviewers and blocking reasons, and draft follow-up messages I can send.
A list of stale pull requests, blocking details, and ready-to-send follow-up message drafts.
Automate Bitbucket Cloud repositories, pull requests, branches, and pipeline workflows.
Manage Bitbucket repositories, pull requests, branches, and issues from AI.
Manage Bitbucket Cloud repos, branches, pull requests, and code search with AI.
Securely access Bitbucket repositories, pull requests, and issues in read-only mode.
Manage Bitbucket Cloud pull requests, branches, and repositories with natural language.
Manage Bitbucket repositories, pull requests, comments, and pipelines through one MCP tool.