JIRA MCP Server

# JIRA MCP Implementation Plan ## Current State (v0.4 + partial v0.6) - ✅ Basic MCP server structure working - ✅ Basic JIRA integration with get_issue tool - ✅ Search functionality with JQL support - ✅ Basic error handling and logging - ✅ Using stdio transport successfully - ✅ Basic authentication via environment variables - ✅ Create and update issue functionality - ✅ Field validation and custom fields support - ✅ Comment support for issue updates - ✅ Dedicated add_comment tool for adding comments to issues - ✅ Project listing and metadata support - ✅ Clone issue functionality with custom field preservation - ✅ Log work functionality to track time spent on issues ## Implementation Steps ### 1. Basic JIRA Integration (v0.2) ✅ - [x] Add JIRA client initialization - [x] Update mcp.json to include JIRA credentials - [x] Implement basic error handling for JIRA connection - [x] Make `get_issue` actually fetch from JIRA - [x] Add basic logging for JIRA operations Success criteria: Can fetch a real JIRA issue ✅ Completed: Basic JIRA integration with proper error handling and logging is working ### 2. Add Search Issues Tool (v0.3) ✅ - [x] Add `search_issues` tool with JQL support - [x] Implement pagination parameters - [x] Add result limiting - [x] Add field selection Success criteria: Can search JIRA issues using JQL ✅ Completed: Search functionality is working with JQL, pagination, and field selection ### 3. Core Issue Management (v0.4) ✅ - [x] Add `create_issue` tool - [x] Add issue type support - [x] Add field validation - [x] Add `update_issue` tool - [x] Add field update logic - [x] Add comment support in update_issue - [x] Add dedicated `add_comment` tool for adding comments to issues - [x] Add `log_work` tool for time tracking - [x] Add `clone_issue` tool for working around mandatory fields - [x] Add `get_comments` tool to read issue comments - [ ] Add ability to fetch attachments (including images) from issues - [ ] Add template support for common issue types Success criteria: Can create, update, and clone issues with all necessary fields ✅ Completed: Create, update, clone, add comments, and log work functionality working with field validation, custom fields, and proper error handling ### 4. Workflow Management (v0.5) - [ ] Add transition support - [ ] Add status updates - [ ] Add workflow validation - [ ] Add assignee management - [ ] Add watchers management Success criteria: Can manage issue workflows and assignments ### 5. Project & Board Tools (v0.6) 🚧 - [x] Add `get_projects` tool - [x] Add project metadata - [ ] Add board support - [ ] Add sprint management - [ ] Add filter support Success criteria: Can interact with JIRA projects and boards Completed so far: Basic project listing and metadata retrieval implemented ### 6. Performance & Resilience (v0.7) - [ ] Add response caching - [ ] Add batch operations - [ ] Add connection pooling - [ ] Add retry logic for JIRA operations - [ ] Add connection recovery Success criteria: Fast and reliable operations ### 7. Enhanced Security (v0.8) - [ ] Enhance connection security measures - [ ] Implement secure credential management - [ ] Add environment validation safeguards - [ ] Improve error handling for security events - [ ] Add security-focused logging Success criteria: Secure and robust access to JIRA API ### 8. Code Organization and Maintenance (NEW) 🚧 - [x] Split JiraClient into focused modules: - [x] core.py: Base client and connection handling - [ ] issues.py: Issue-related operations - [ ] projects.py: Project management - [ ] comments.py: Comment handling - [ ] worklog.py: Time tracking - [x] Create dedicated config module - [ ] Implement proper dependency injection - [ ] Add interface definitions - [ ] Create utility modules for common operations Success criteria: Maintainable, modular codebase with clear separation of concerns Current progress: Initial core module refactoring completed (PR #2) ### 9. Advanced Transport (v0.9) - [ ] Add SSE transport support - [ ] Update mcp.json for SSE configuration - [ ] Add proper connection handling - [ ] Add reconnection logic - [ ] Add transport-specific error handling Success criteria: Stable alternative transport options ### 10. Production Readiness (v1.0) - [ ] Add comprehensive metrics - [ ] Add health checks - [ ] Add performance monitoring - [ ] Add detailed logging - [ ] Add production deployment guide Success criteria: Production-ready with monitoring and maintenance tools ## Backtrack Points Each version represents a stable point to which we can backtrack if issues arise. Key backtrack points: 1. **Base (v0.3)**: Working version with get_issue and search 2. **Core (v0.4)**: Basic CRUD operations working (current stable version) - Create, update, clone issues - Add comments to issues - Log work on issues 3. **Workflow (v0.5)**: Issue management working 4. **Projects (v0.6)**: Project operations working (partially implemented) 5. **Performance (v0.7)**: Optimized operations working ## Testing Strategy For each step: 1. Write tests first 2. Implement feature 3. Verify in isolation 4. Test in Cursor 5. Document any issues 6. Only proceed if stable ## Configuration Management mcp.json updates needed for each phase: 1. v0.4: Add issue templates 2. v0.5: Add workflow configs 3. v0.6: Add project settings 4. v0.7: Add performance settings 5. v0.8: Add security settings ## Rollback Procedure If any step introduces instability: 1. Note the exact changes that caused issues 2. Revert to last known good version 3. Document the failure case 4. Try alternative approach 5. If alternative fails, stay at previous version ## Success Criteria Final implementation should: 1. Be as stable as hello-world server 2. Support all core JIRA operations 3. Handle errors gracefully 4. Maintain secure connections 5. Provide good developer experience ## Refactoring Structure ``` jira_mcp/ ├── __init__.py ├── core/ │ ├── __init__.py │ ├── client.py # Base JIRA client │ ├── config.py # Configuration management │ └── exceptions.py # Custom exceptions ├── models/ │ ├── __init__.py │ ├── issue.py # Issue-related models │ ├── project.py # Project-related models │ └── common.py # Shared model definitions ├── operations/ │ ├── __init__.py │ ├── issues.py # Issue operations │ ├── projects.py # Project operations │ ├── comments.py # Comment operations │ └── worklog.py # Time tracking operations ├── utils/ │ ├── __init__.py │ ├── logging.py # Logging utilities │ ├── validation.py # Input validation │ └── security.py # Security utilities └── transport/ ├── __init__.py ├── base.py # Transport interface ├── stdio.py # STDIO implementation └── sse.py # SSE implementation ``` ### Refactoring Benefits - Improved maintainability through separation of concerns - Better testability with focused modules - Easier to implement new features - Clear module boundaries and responsibilities - Simplified dependency management ### Refactoring Approach 1. Create new structure while keeping current functionality 2. Move code gradually, one module at a time 3. Maintain backward compatibility during transition 4. Add tests for each new module 5. Update documentation as modules move