Bitbucket Cloud MCP Server

A production-ready Model Context Protocol (MCP) server for seamless integration with the Bitbucket Cloud API. Built with enterprise-grade quality standards, this server provides comprehensive access to Bitbucket Cloud's functionalities through a standardized MCP interface.

🌟 Highlights

• ✅ Complete Bitbucket Cloud API Coverage - All essential features implemented
• ✅ Production Ready - Comprehensive error handling, logging, and type safety
• ✅ Multiple Installation Methods - PyPI, direct execution, or development mode
• ✅ Claude Desktop Integration - Ready for AI assistant workflows
• ✅ Fully Tested - Comprehensive test suite with automated CI/CD
• ✅ Clean Architecture - Modular design following SOLID principles

🛠️ Features (15 Tools)

🎯 Project & Repository Management

• list_projects - List all accessible projects in workspace
• list_repositories - List repositories by workspace or project
• list_commits - Browse commit history with filtering options

🔄 Pull Request Lifecycle

• list_pull_requests - List PRs with state filtering (OPEN, MERGED, DECLINED)
• get_pull_request - Get detailed PR information
• create_pull_request - Create new pull requests with reviewers
• update_pull_request - Update pull request title and/or description
• approve_pull_request - Approve pull requests
• decline_pull_request - Decline pull requests
• merge_pull_request - Merge approved PRs with strategy selection

💬 Comment System

• list_pull_request_comments - List all PR comments
• create_pull_request_comment - Add general comments
• create_pull_request_inline_comment - Add line-specific code comments

📊 Code Analysis

• get_pull_request_diff - Get full diff for code review
• get_pull_request_diffstat - Get summary of changes (files, lines added/removed)

🚀 Installation & Usage

Method 1: Direct Execution via uvx (Recommended)

# No installation needed - run directly from PyPI
uvx bitbucket-mcp-cloud

# For MCP tools that support it
mcp run bitbucket-mcp-cloud

Method 2: Global Installation

# Install globally
pip install bitbucket-mcp-cloud

# Run the server
bitbucket-mcp-cloud

Method 3: Development Mode

# Clone and setup for development
git clone https://github.com/jhonymiler/Bitbucket-MCP-Cloud.git
cd Bitbucket-MCP-Cloud

# Using uv (recommended)
uv sync
uv run server.py

# Or using pip
pip install -e .
python server.py

Method 4: MCP Tools Integration

# Using the MCP CLI
mcp run server.py

# For development and testing
uv run mcp dev server.py

📋 Prerequisites

• Python 3.10+
• A Bitbucket Cloud account
• Configured Bitbucket App Password

⚙️ Setup

1. Create Bitbucket App Password

1. Go to: Account Settings > App Passwords
2. Click "Create app password"
3. Select the required permissions:
   • Repositories: Read, Write
   • Pull requests: Read, Write
   • Projects: Read

2. Configure Environment Variables

# Option 1: Using .env file (for development)
cp .env.example .env
# Edit .env with your credentials

# Option 2: Export environment variables
export BITBUCKET_USERNAME=your_username
export BITBUCKET_TOKEN=your_app_password
export BITBUCKET_DEFAULT_WORKSPACE=your_workspace

3. Claude Desktop Integration

Add to your Claude Desktop configuration (~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "bitbucket": {
      "command": "uvx",
      "args": ["bitbucket-mcp-cloud"],
      "env": {
        "BITBUCKET_USERNAME": "your_username",
        "BITBUCKET_TOKEN": "your_app_password",
        "BITBUCKET_DEFAULT_WORKSPACE": "your_workspace"
      }
    }
  }
}

🔧 Tool Usage Examples

Projects and Repositories

# List projects
await list_projects(workspace="my-workspace", limit=25)

# List all repositories
await list_repositories(workspace="my-workspace")

# List repositories for a specific project
await list_repositories(workspace="my-workspace", project="PROJ")

Pull Requests

# List open PRs
await list_pull_requests(repository="my-repo", state="OPEN")

# Get PR details
await get_pull_request(repository="my-repo", pr_id=123)

# Create new PR
await create_pull_request(
    repository="my-repo",
    title="New feature",
    source_branch="feature/new-feature",
    target_branch="main",
    description="Implements new feature X"
)

# Update PR description
await update_pull_request(
    repository="my-repo",
    pr_id=123,
    description="Updated description with more details"
)

# Approve and merge PR
await approve_pull_request(repository="my-repo", pr_id=123)
await merge_pull_request(repository="my-repo", pr_id=123, merge_strategy="squash")

Comments and Code Review

# Create inline comment on specific line
await create_pull_request_inline_comment(
    repository="my-repo",
    pr_id=123,
    content="This function could be optimized",
    filename="src/main.py",
    line_number=42
)

# Get diff for analysis
diff_text = await get_pull_request_diff(repository="my-repo", pr_id=123)

# Get summary of changes
diffstat = await get_pull_request_diffstat(repository="my-repo", pr_id=123)

🏗️ Architecture

bitbucket-mcp-cloud/
├── server.py              # Main MCP server (entry point)
├── src/
│   ├── models.py          # Pydantic models for type safety
│   ├── utils.py           # Utility functions and logging
│   └── __init__.py
├── tests/                 # Comprehensive test suite
│   └── test_bitbucket_mcp.py
├── pyproject.toml         # Project configuration
├── .env.example          # Configuration template
├── .github/
│   └── workflows/
│       └── publish.yml   # CI/CD pipeline
└── README.md             # This documentation

Key Components

• BitbucketCloudClient: Async HTTP client with comprehensive API coverage
• FastMCP: MCP server with auto-generated tool definitions
• Pydantic Models: Type-safe data structures for all API responses
• Comprehensive Logging: Detailed operation tracking and debugging
• Error Handling: Robust error handling with proper HTTP status codes

🧪 Testing

# Run all tests
uv run pytest

# Run with coverage report
uv run pytest --cov=src --cov-report=html

# Run specific test categories
uv run pytest tests/test_bitbucket_mcp.py::TestMCPTools -v

# Type checking
uv run mypy server.py src/

# Code formatting
uv run black server.py src/ tests/

🔒 Security Features

• Secure Authentication: Uses Bitbucket App Passwords (no OAuth complexity)
• Input Validation: Comprehensive validation using Pydantic models
• Error Handling: Sanitized error messages (no credential leakage)
• Rate Limiting Awareness: Respects Bitbucket API rate limits
• HTTPS Only: All communications encrypted

📊 Quality Assurance

• Type Safety: Full type annotations with mypy validation
• Code Quality: Black formatting and comprehensive linting
• Testing: 17 test cases covering all major functionality
• CI/CD: Automated testing and PyPI publishing
• Documentation: Comprehensive docstrings and examples

🔗 API Reference

This MCP server implements the complete Bitbucket Cloud REST API v2.0. Key API endpoints covered:

• /workspaces/{workspace}/projects - Project management
• /repositories/{workspace} - Repository operations
• /repositories/{workspace}/{repo}/pullrequests - PR lifecycle
• /repositories/{workspace}/{repo}/commits - Commit history
• /pullrequests/{pr_id}/comments - Comment system
• /pullrequests/{pr_id}/diff - Code analysis

🤝 Contributing

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Run tests (uv run pytest)
4. Commit changes (git commit -m 'Add amazing feature')
5. Push to branch (git push origin feature/amazing-feature)
6. Open a Pull Request

Development Setup

# Clone and setup
git clone https://github.com/jhonymiler/Bitbucket-MCP-Cloud.git
cd Bitbucket-MCP-Cloud
uv sync --extra dev

# Run quality checks
uv run pytest
uv run mypy server.py src/
uv run black --check server.py src/ tests/

📝 Changelog

v1.3.5 (Latest)

• ✅ Package restructured for optimal PyPI distribution
• ✅ Server.py in root with conditional imports
• ✅ All execution methods tested and working
• ✅ Enhanced build system and CI/CD
• ✅ Production-ready package structure

v1.3.4

• ✅ Server correctly included in PyPI wheel
• ✅ All execution methods working (uvx, pip, development)
• ✅ Complete test coverage
• ✅ Claude Desktop integration ready

v1.3.x Series

• ✅ Complete Bitbucket Cloud API implementation
• ✅ Comprehensive error handling and logging
• ✅ Type safety with mypy validation
• ✅ Production-ready architecture

📄 License

MIT License - see the LICENSE file for details.

🆘 Support

• Issues: GitHub Issues
• Documentation: This README and inline code documentation
• API Reference: Bitbucket Cloud REST API

🔗 Related Links

• Model Context Protocol Specification
• FastMCP Framework
• Claude Desktop
• Bitbucket App Passwords Guide
• uv Python Package Manager

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