Bitbucket MCP

Bitbucket MCP

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This MCP server allows AI tools to list repositories, fetch pull requests, get repository details, and perform related operations on Bitbucket Cloud and Server.
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Apr 28 2025
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Security
#mcp
#bitbucket
#ai-tools
#llm-agents
#model-context-protocol
#mcp-server
#antrophic
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Bitbucket MCP
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What is Bitbucket MCP?

Bitbucket MCP is a protocol server that integrates AI assistants with Bitbucket APIs, supporting operations like listing repositories, retrieving pull requests, and managing code reviews. It implements the Model Context Protocol (MCP) standard to facilitate secure, read-only access to Bitbucket resources for AI-driven workflows. Users can deploy it via npm or run it with NPX, configuring environment variables for their Bitbucket workspace. It supports tools like listing repositories, fetching pull requests, reviewing activities, merging or declining pull requests, and commenting, making it ideal for automated code management and AI-assisted development workflows.

Who will use Bitbucket MCP?

  • AI developers
  • DevOps teams
  • Code reviewers
  • Repository managers
  • Automation engineers

How to use the Bitbucket MCP?

  • Step1: Install the MCP server via npm or run with NPX using environment variables for your Bitbucket workspace.
  • Step2: Configure environment variables: BITBUCKET_URL, BITBUCKET_USERNAME, BITBUCKET_PASSWORD or BITBUCKET_TOKEN.
  • Step3: Launch the server and ensure it is running locally or on your server environment.
  • Step4: Use supported tools or APIs to interact with repositories, pull requests, and comments through the MCP server.
  • Step5: For integration with AI assistants like Cursor, add MCP configuration in the extension settings and use commands like '/bitbucket'.

Bitbucket MCP's Core Features & Benefits

The Core Features
  • listRepositories
  • getRepository
  • getPullRequests
  • createPullRequest
  • getPullRequest
  • updatePullRequest
  • getPullRequestActivity
  • approvePullRequest
  • declinePullRequest
  • mergePullRequest
  • getPullRequestComments
  • createPullRequestComment
  • getPullRequestDiff
  • getPullRequestTasks
  • createPullRequestTask
  • getPullRequestCommits
  • getPullRequestStatuses
The Benefits
  • Enables AI to automate repository management tasks
  • Supports read-only and security-focused integrations
  • Facilitates automated reviews and pull request handling
  • Provides a standardized protocol for AI-Bitbucket interactions

Bitbucket MCP's Main Use Cases & Applications

  • Automated code review and approval workflows
  • AI-assisted pull request management
  • Repository and pull request analytics
  • Automating routine repository operations
  • Integration of AI tools with Bitbucket in CI/CD pipelines

FAQs of Bitbucket MCP

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