Atlassian Rovo MCP Server Now Supports Bitbucket Cloud

Bitbucket Cloud is now supported in the Atlassian Rovo MCP Server, extending AI-driven workflows beyond Jira and Confluence into source code and CI/CD.

With this update, AI clients such as ChatGPT, Claude, Cursor, and VS Code can interact directly with Bitbucket repositories through a single MCP (Model Context Protocol) connection.

Bringing code into the same AI context

Bitbucket Cloud is where development teams manage:

  • source code
  • pull requests
  • pipelines and deployments

By adding Bitbucket to the Rovo MCP Server, these elements are now accessible alongside:

  • Jira issues
  • Confluence documentation

This creates a unified context where AI tools can operate across the full development workflow.

What you can do with it

Workspace and repository access

AI clients can:

  • list workspaces and repositories
  • browse branches
  • read file contents

This allows developers to explore unfamiliar codebases directly through their AI assistant.

Pull request lifecycle

Full pull request workflows are supported, including:

  • creating pull requests
  • retrieving diffs
  • adding comments
  • approving and merging

For example, a developer can ask for all open PRs awaiting review and receive actionable results without navigating Bitbucket manually.

Pipelines and deployments

The integration also covers CI/CD visibility:

  • list and inspect pipeline runs
  • access pipeline steps and logs
  • view deployments and environments

This enables faster debugging, especially when identifying failing builds or problematic commits.

Available toolset

The Bitbucket Cloud integration exposes a broad set of capabilities through MCP, including:

  • Workspace and repository management
  • Pull request operations (create, review, merge, comment)
  • Repository content access (branches, commits, files)
  • Pipeline execution and inspection
  • Deployment and environment management

This provides near-complete coverage of common Bitbucket workflows.

Current limitations

There are a few constraints to be aware of:

  • Organization-linked workspaces required
    Only workspaces connected to an Atlassian organization are supported
  • API token authentication only
    OAuth is not yet available for Bitbucket in MCP, though it is planned

These limitations are expected to improve as the integration evolves.

Getting started

To enable Bitbucket Cloud support:

  1. Navigate to Admin Hub → Rovo → MCP Server
  2. Enable API token authentication
  3. Connect using a supported MCP client (ChatGPT, Claude, Cursor, VS Code, etc.)

Once configured, Bitbucket tools become available alongside Jira and Confluence capabilities.

What’s next

Atlassian has outlined several upcoming improvements:

  • OAuth support for Bitbucket
    To align authentication with Jira and Confluence
  • Expanded tool coverage
    Additional Bitbucket capabilities based on user feedback

Final thoughts

This update is less about adding new functionality to Bitbucket itself and more about how teams interact with it.

By exposing repositories, pull requests, and pipelines through MCP, Atlassian is moving toward a model where AI tools can operate across the entire development lifecycle—from planning to deployment—without switching contexts.

That shift is likely to have a larger impact over time than the individual features themselves.

Stay Clouding!

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