The Atlassian Rovo MCP Server now supports Bitbucket Cloud
The Atlassian Rovo Model Context Protocol MCP Server now supports Bitbucket Cloud. AI clients like Claude, ChatGPT, Cursor, and VS Code can now browse repositories, create commits, open pull requests, and check pipeline results, all through the same secure MCP connection that already works with Jira and Confluence.
Workflows
Bitbucket Cloud is where your code lives. It’s where teams commit changes, review pull requests, run pipelines, and ship releases. With Bitbucket now in the Atlassian Rovo MCP Server, your AI assistant has the full picture. Here are a few ways to put it to work:
Workspace and repository management: List workspaces and repositories, browse branches, read file contents. Ask your AI assistant to explore an unfamiliar codebase without leaving your editor.
Pull request lifecycle: Create PRs, get diffs, leave comments, approve, merge. Ask “show me all open PRs on platform-core waiting for my review” and get an actionable answer.
Pipelines and deployments: View pipeline runs, list environments, and deployments. When a build breaks, your AI assistant can help you find the failing commit fast.
Available tools
Here’s the full set of Bitbucket Cloud tools now available through the Atlassian Rovo MCP Server:
- bitbucketWorkspace: list, get
- bitbucketRepository: list, get
- bitbucketPullRequest: create, get, list, merge, approve, comment, comments, diff
- bitbucketRepoContent: branch.get, branch.create, commit.get, commit.create, files.get
- bitbucketPipelines: list, run, get, steps, step.get, step.log
- bitbucketDeployments: list, get
- bitbucketEnvironments: list, get, create, delete, update
Review our support docs on more details on the tools available today and the scopes required to use them.
Current limitations
Before you begin, be aware of several limitations that we are actively addressing to enable access to the Bitbucket Cloud tool on the Atlassian Rovo MCP Server. Keep the following points in mind:
- Org-linked workspace required: Bitbucket Cloud tools are available for workspaces linked to an Atlassian organization. You can follow this guide to link your org.
- API token authentication only: Bitbucket Cloud tools rely on API token auth for now. OAuth support is not yet available for these tools, but improvements to the authentication infrastructure are underway.
Getting started
The Atlassian Rovo MCP Server is managed at the organization level through Admin Hub > Rovo > Rovo MCP Server. Here’s what admins need to know to enable Bitbucket Cloud support:
- Enable API token authentication: The Bitbucket Cloud tools authenticate via API token. Organization admins will need to enable API token authentication in the Rovo MCP Server settings for these tools to work.
- Connect as usual: Once enabled, users can connect through any supported MCP client (Claude, ChatGPT, Cursor, VS Code, and others) and start using the Bitbucket tools alongside existing Jira and Confluence capabilities.
For detailed setup instructions, visit the Atlassian Rovo MCP Server documentation.
What’s next?
We’re not stopping here. Here’s what’s on the roadmap next:
- OAuth authentication for Bitbucket: Improvements to the authentication infrastructure are underway, with the goal of including Bitbucket in the OAuth flow so users get the same seamless consent experience they already have with Jira and Confluence.
- More tools, better workflows: We’ll be adding more Bitbucket tools to support additional workflow based on your feedback.
We want your feedback
This is just the beginning, and we’re excited to build it with you. Give it a try by connecting your AI client, exploring your repositories, automating a PR workflow, or debugging a pipeline and let us know what you think. If you have feature requests, run into any issues, or simply want to share how you’re using Bitbucket with the Rovo MCP Server, we’d love to hear from you. Leave your comments and feedback in the Bitbucket Cloud Community. You can also join the Atlassian Rovo MCP Server Community to stay up to date and get additional support. Your input directly shapes the tools we improve and build next.