Atlassian Bitbucket MCP Server

Connect AI to Your Bitbucket Repositories

Transform how you work with Bitbucket by connecting Claude, Cursor AI, and other AI assistants directly to your repositories, pull requests, and code. Get instant insights, automate code reviews, and streamline your development workflow.

What You Can Do

✅ Ask AI about your code: "What's the latest commit in my main repository?"
✅ Get PR insights: "Show me all open pull requests that need review"
✅ Search your codebase: "Find all JavaScript files that use the authentication function"
✅ Review code changes: "Compare the differences between my feature branch and main"
✅ Manage pull requests: "Create a PR for my new-feature branch"
✅ Automate workflows: "Add a comment to PR #123 with the test results"

Perfect For

• Developers who want AI assistance with code reviews and repository management
• Team Leads needing quick insights into project status and pull request activity
• DevOps Engineers automating repository workflows and branch management
• Anyone who wants to interact with Bitbucket using natural language

Quick Start

Get up and running in 2 minutes:

1. Get Your Bitbucket Credentials

Generate a Bitbucket App Password:

1. Go to Bitbucket App Passwords
2. Click "Create app password"
3. Give it a name like "AI Assistant"
4. Select these permissions:
   • Workspaces: Read
   • Repositories: Read (and Write if you want AI to create PRs/comments)
   • Pull Requests: Read (and Write for PR management)

2. Try It Instantly

Connect to AI Assistants

For Claude Desktop Users

Add this to your Claude configuration file (~/.claude/claude_desktop_config.json):

Option 1: Standard Atlassian credentials (recommended)

Option 2: Bitbucket-specific credentials

Restart Claude Desktop, and you'll see "🔗 bitbucket" in the status bar.

For Other AI Assistants

Most AI assistants support MCP. Install the server globally:

Then configure your AI assistant to use the MCP server with STDIO transport.

Alternative: Configuration File

Create ~/.mcp/configs.json for system-wide configuration:

Option 1: Standard Atlassian credentials (recommended)

Option 2: Bitbucket-specific credentials

Alternative config keys: The system also accepts "atlassian-bitbucket", "@aashari/mcp-server-atlassian-bitbucket", or "mcp-server-atlassian-bitbucket" instead of "bitbucket".

Real-World Examples

🔍 Explore Your Repositories

Ask your AI assistant:

• "List all repositories in my main workspace"
• "Show me details about the backend-api repository"
• "What's the commit history for the feature-auth branch?"
• "Get the content of src/config.js from the main branch"

📋 Manage Pull Requests

Ask your AI assistant:

• "Show me all open pull requests that need review"
• "Get details about pull request #42 including the code changes"
• "Create a pull request from feature-login to main branch"
• "Add a comment to PR #15 saying the tests passed"
• "Approve pull request #33"

🔧 Work with Branches and Code

Ask your AI assistant:

• "Compare my feature branch with the main branch"
• "Create a new branch called hotfix-login from the main branch"
• "List all branches in the user-service repository"
• "Show me the differences between commits abc123 and def456"

🔎 Search and Discovery

Ask your AI assistant:

• "Search for JavaScript files that contain 'authentication'"
• "Find all pull requests related to the login feature"
• "Search for repositories in the mobile project"
• "Show me code files that use the React framework"

Troubleshooting

"Authentication failed" or "403 Forbidden"

1. Choose the right authentication method:
   • Standard Atlassian method: Use your Atlassian account email + API token (works with any Atlassian service)
   • Bitbucket-specific method: Use your Bitbucket username + App password (Bitbucket only)
2. For Bitbucket App Passwords (if using Option 2):
   • Go to Bitbucket App Passwords
   • Make sure your app password has the right permissions (Workspaces: Read, Repositories: Read, Pull Requests: Read)
3. For Atlassian API Tokens (if using Option 1):
   • Go to Atlassian API Tokens
   • Make sure your token is still active
4. Verify your credentials:
   # Test your credentials work npx -y @aashari/mcp-server-atlassian-bitbucket ls-workspaces

"Workspace not found" or "Repository not found"

1. Check your workspace slug:
   # List your workspaces to see the correct slugs npx -y @aashari/mcp-server-atlassian-bitbucket ls-workspaces
2. Use the exact slug from Bitbucket URL:
   • If your repo URL is https://bitbucket.org/myteam/my-repo
   • Workspace slug is myteam
   • Repository slug is my-repo

"No default workspace configured"

Set a default workspace to avoid specifying it every time:

Claude Desktop Integration Issues

1. Restart Claude Desktop after updating the config file
2. Check the status bar for the "🔗 bitbucket" indicator
3. Verify config file location:
   • macOS: ~/.claude/claude_desktop_config.json
   • Windows: %APPDATA%\Claude\claude_desktop_config.json

Getting Help

If you're still having issues:

1. Run a simple test command to verify everything works
2. Check the GitHub Issues for similar problems
3. Create a new issue with your error message and setup details

Frequently Asked Questions

What permissions do I need?

For Standard Atlassian credentials (Option 1):

• Your regular Atlassian account with access to Bitbucket
• API token with default permissions

For Bitbucket App Passwords (Option 2):

• For read-only access (viewing repos, PRs, commits):
  • Workspaces: Read
  • Repositories: Read
  • Pull Requests: Read
• For full functionality (creating PRs, commenting):
  • Add "Write" permissions for Repositories and Pull Requests

Can I use this with private repositories?

Yes! This works with both public and private repositories. You just need the appropriate permissions through your Bitbucket App Password.

Do I need to specify workspace every time?

No! Set BITBUCKET_DEFAULT_WORKSPACE in your environment or config file, and it will be used automatically when you don't specify one.

What AI assistants does this work with?

Any AI assistant that supports the Model Context Protocol (MCP):

• Claude Desktop (most popular)
• Cursor AI
• Continue.dev
• Many others

Is my data secure?

Yes! This tool:

• Runs entirely on your local machine
• Uses your own Bitbucket credentials
• Never sends your data to third parties
• Only accesses what you give it permission to access

Can I use this for multiple Bitbucket accounts?

Currently, each installation supports one set of credentials. For multiple accounts, you'd need separate configurations.

Support

Need help? Here's how to get assistance:

1. Check the troubleshooting section above - most common issues are covered there
2. Visit our GitHub repository for documentation and examples: github.com/aashari/mcp-server-atlassian-bitbucket
3. Report issues at GitHub Issues
4. Start a discussion for feature requests or general questions

Made with ❤️ for developers who want to bring AI into their Bitbucket workflow.