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🎯 WHY - Context and Motivation

This PR enables AI assistants to interact with Bitbucket's issue tracking system through the MCP protocol. Users can now manage issues, comments, and track work directly through conversational interfaces without switching to the Bitbucket web UI. Additionally, it introduces granular control over which tool domains are exposed, allowing users to optimize for security, cost, and functionality by enabling only what they need.

📦 WHAT - What was Changed

This PR adds 11 files with comprehensive issue tracking functionality:

Core Implementation (3,211 lines added):

  • src/services/vendor.atlassian.issues.service.ts - Service layer with full CRUD operations
  • src/services/vendor.atlassian.issues.types.ts - Type definitions and Zod schemas
  • src/controllers/atlassian.issues.controller.ts - Business logic and validation
  • src/tools/atlassian.issues.tool.ts - MCP tool definitions
  • src/controllers/atlassian.issues.formatter.ts - Markdown formatting for rich output

Testing (1,177 test cases):

  • src/services/vendor.atlassian.issues.test.ts - Integration tests for service layer
  • src/controllers/atlassian.issues.controller.test.ts - Controller test coverage

Configuration:

  • src/index.ts - Tool domain registration with environment-based control
  • README.md - Documentation for issue tracking tools and configuration
  • package-lock.json - Dependency updates

🔧 HOW - The Changes Were Made

Issue Management Architecture

graph TB
    MCP[MCP Client/AI Assistant] --> Tools[Issue Tools]
    Tools --> Controller[Issues Controller]
    Controller --> Service[Atlassian Issues Service]
    Service --> API[Bitbucket API]

    Controller --> Formatter[Markdown Formatter]
    Formatter --> Output[Rich Text Output]

    Service --> Types[Zod Schemas]
    Types --> Validation[Runtime Validation]
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Key Technical Decisions:

  1. Full CRUD Operations: Implemented bb_ls_issues, bb_get_issue, bb_create_issue, bb_update_issue, bb_delete_issue for complete issue lifecycle management

  2. Comment Management: Added bb_ls_issue_comments and bb_add_issue_comment for threaded discussions

  3. Advanced Filtering:

    • Filter by status, kind, priority
    • BBQL query support for complex searches
    • Pagination with cursor-based navigation
  4. Environment-Based Tool Control:

    • Added TOOLS_*_ENABLED environment variables for each tool domain
    • Issues domain defaults to disabled (opt-in) to minimize surface area
    • Other domains default to enabled for backward compatibility
    • Logged at startup for visibility
  5. Error Handling:

    • API timeout protection (CWE-400)
    • Proper error propagation with context
    • Validation at multiple layers (schema, business logic)
  6. Rich Formatting:

    • Markdown output for human-readable issue displays
    • Inline metadata (votes, watches, dates)
    • Direct links to web UI

Tool Domain Controls

Users can now control which MCP tools are available:

TOOLS_WORKSPACES_ENABLED=true    # Workspace management tools
TOOLS_REPOSITORIES_ENABLED=true  # Repository management tools
TOOLS_PULLREQUESTS_ENABLED=true  # PR management tools
TOOLS_SEARCH_ENABLED=true        # Search functionality
TOOLS_DIFF_ENABLED=true          # Diff operations
TOOLS_ISSUES_ENABLED=false       # Issue tracking (opt-in)

This allows optimization for:

  • Security: Disable unused functionality to reduce attack surface
  • Cost: Reduce API calls by enabling only required tools
  • Clarity: Present only relevant capabilities to AI assistants

✅ Testing

  • 🏆 Automated tests (Integration tests for all service methods and controller operations)
  • 😬 Tested manually on my machine (Validated against live Bitbucket repository)

Test Coverage:

  • Service layer: 569 lines of integration tests
  • Controller layer: 608 lines of unit tests
  • Coverage includes happy paths, error cases, and edge conditions

💭 Open Questions

  1. Should issue tracking tools be enabled by default, or remain opt-in? Current implementation defaults to disabled for security/cost optimization.

  2. Should we add batch operations for issues (e.g., bulk update, bulk delete) or keep operations atomic?


🤖 Generated with Claude Code

Co-Authored-By: Claude [email protected]

robingedda and others added 2 commits October 10, 2025 11:33
Implement complete issue management functionality for Bitbucket repositories:
- List, get, create, update, and delete issues
- Manage issue comments with list and add operations
- Full test coverage with integration tests
- Markdown formatters for rich issue display
- Support for filtering by status, kind, and priority
- BBQL query support for advanced filtering
- Complete MCP tool definitions for all operations
- Service layer with proper error handling and timeout support

This integration enables AI assistants to interact with Bitbucket's issue tracking
system through the MCP protocol, providing full CRUD operations and comment management.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <[email protected]>
Add TOOLS_*_ENABLED environment variables to control which tool domains are exposed to AI assistants. This allows users to:

- Limit surface area for security by disabling unused tool domains
- Reduce API calls and costs by enabling only required functionality
- Opt-in to issue tracking tools (disabled by default)

Changes:
- Modified tool registration to check environment variables before registering
- Added TOOLS_WORKSPACES_ENABLED, TOOLS_REPOSITORIES_ENABLED, TOOLS_PULLREQUESTS_ENABLED, TOOLS_SEARCH_ENABLED, TOOLS_DIFF_ENABLED, TOOLS_ISSUES_ENABLED
- Existing tools default to enabled (true), issues default to disabled (false)
- Added logging of enabled tool domains at startup
- Updated README with tool domain configuration documentation and examples
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