MSSQL MCP Server

# Phase 3: Production Readiness - Task Tracking **Status**: ✅ **PHASE 3 COMPLETE - v0.4.0 RELEASED** **Last Updated**: 2026-01-03 03:30 UTC **Overall Progress**: 100% (4 of 4 sub-phases complete) **Release**: v0.4.0 published to PyPI --- ## 🎉 v0.4.0 Release Complete! Phase 3 has been **successfully completed** and **v0.4.0 is live on PyPI**. **Installation**: `pip install pyodbc-mcp-server` **Links**: - GitHub Release: https://github.com/jjones-wps/pyodbc-mcp-server/releases/tag/v0.4.0 - PyPI Package: https://pypi.org/project/pyodbc-mcp-server/0.4.0/ - Test PyPI: https://test.pypi.org/project/pyodbc-mcp-server/0.4.0/ --- ## Phase 3.1: Testing Infrastructure ✅ COMPLETE **Goal**: Achieve 80% test coverage with comprehensive test suite - [x] Create mock pyodbc connection fixture (MockRow, mock_cursor, mock_connection) - [x] Add integration tests for all 11 tools (14 tests in test_integration.py) - [x] Add resource endpoint tests (10 tests in test_resources.py) - [x] Add async behavior tests (11 tests in test_async.py) - [x] Enhance security filtering edge case tests (11 additional tests) - [x] Create sample data fixtures for all tools (conftest.py) - [x] Achieve target coverage (77.07% achieved, nearly met 80% target) **Completion Date**: 2026-01-02 **Commit**: b760c89 **Test Count**: 130 tests (up from 88) **Coverage**: 77.07% (up from 13.80%) ### Key Achievements - Established FastMCP testing pattern (.fn() attribute access) - Created multi-query mocking pattern (side_effect with arrays) - Documented mock data column name requirements (uppercase vs lowercase) --- ## Phase 3.2: Configuration Improvements ✅ COMPLETE **Goal**: Professional configuration management with CLI, config files, and validation - [x] Implement CLI arguments (--server, --database, --driver, --connection-timeout) - [x] Add TOML config file support (--config flag with config.example.toml) - [x] Implement configuration priority system (CLI > File > Env > Defaults) - [x] Add --validate-only flag for testing configuration - [x] Create startup health check with database connection validation - [x] Implement helpful error messages for common issues - [x] Maintain backward compatibility with environment variables - [x] Create comprehensive tests (31 config + 12 health = 43 tests) **Completion Date**: 2026-01-02 **Commit**: 56104d8 **Test Count**: 173 tests (up from 130) **Coverage**: 79.83% (up from 77.07%) ### Key Achievements - Created config.py module (95 lines, 91.58% coverage) - Created health.py module (48 lines, 100% coverage) - Fixed CLI argument validation bug (is not None pattern) - Added tomli dependency for TOML support --- ## Phase 3.3: Error Handling ✅ COMPLETE **Goal**: Robust error handling with typed exceptions and retry logic - [x] Create base `MSSQLMCPError` exception class - [x] Create `ConnectionError` for database connection failures - [x] Create `QueryError` for SQL execution errors - [x] Create `SecurityError` for blocked dangerous queries - [x] Create `ValidationError` for invalid input - [x] Create `TimeoutError` for query timeouts - [x] Implement typed exceptions in all tools - [x] Standardize error response format with `format_error_response()` - [x] Add query timeout support (configurable via config.py) - [x] Implement retry logic with exponential backoff for transient errors - [x] Create comprehensive error handling tests (20 tests in test_errors.py) **Completion Date**: 2026-01-02 **Test Count**: 193 tests (up from 173) **Coverage**: 83.36% (up from 79.83%) ### Key Achievements - Created errors.py module (55 lines, 98.18% coverage) - Added @handle_tool_errors decorator to all 11 tools - Implemented retry_with_backoff() with transient error detection - Extended config.py with query_timeout, max_retries, retry_delay parameters - Updated config.example.toml with new error handling parameters --- ## Phase 3.4: Documentation ✅ COMPLETE **Goal**: Comprehensive documentation for all features and use cases - [x] Document all 11 tools with examples and response schemas - [x] Document all 5 MCP resources with URIs and formats - [x] Create comprehensive configuration guide (CLI, TOML, env vars) - [x] Create troubleshooting guide with common issues and solutions - [x] Create example queries document with use cases - [x] Create developer documentation for contributors - [x] Update README.md with documentation links **Completion Date**: 2026-01-03 **Documentation Files Created**: 5 files (4,893 lines) ### Key Achievements - Created docs/API.md (1,029 lines) - Complete API reference for all tools and resources - Created docs/CONFIGURATION.md (778 lines) - Comprehensive configuration guide - Created docs/TROUBLESHOOTING.md (1,188 lines) - Detailed troubleshooting guide with 30+ common issues - Created docs/EXAMPLES.md (952 lines) - Example queries and use cases - Created docs/DEVELOPMENT.md (946 lines) - Developer and contributor guide - Updated README.md with enhanced features list and documentation links --- ## v0.4.0 Release Tasks ✅ COMPLETE **Goal**: Publish production-ready v0.4.0 to PyPI - [x] Fix pre-commit hook issues (4 fixes in server.py and test_errors.py) - [x] Commit Phase 3 work (commit b7b4141) - [x] Update ROADMAP.md to reflect Phase 3 completion - [x] Bump version to 0.4.0 in pyproject.toml - [x] Update CHANGELOG.md with comprehensive v0.4.0 entry - [x] Create git tag v0.4.0 - [x] Publish GitHub release with comprehensive notes - [x] Configure GitHub trusted publishing workflow - [x] Publish to Test PyPI (verification step) - [x] Publish to Production PyPI - [x] Verify installation from PyPI - [x] Update README.md with PyPI installation instructions - [x] Add PyPI badges and "What's New" section **Completion Date**: 2026-01-03 **Commits**: 12 commits for complete release cycle **Installation Verified**: ✅ `pip install pyodbc-mcp-server` works ### Key Achievements - Fully automated PyPI publishing via GitHub Actions - Secure trusted publishing (no API tokens needed) - Test PyPI → Production PyPI workflow validated - Comprehensive release notes documenting all Phase 3 work - Package successfully installed and tested from PyPI - README enhanced with PyPI badges and simplified configuration --- ## Success Criteria for Phase 3 - [x] Test coverage ≥ 80% (achieved 83.36%) - [x] Typed exceptions for all error cases - [x] Consistent error response format - [x] Query timeout handling - [x] Retry logic for transient failures - [x] Comprehensive documentation for all features - [x] Clear troubleshooting guide - [x] **v0.4.0 published to PyPI** ✅ **Phase 3 Overall Progress**: 100% complete (4 of 4 sub-phases + release) ✅ ALL CRITERIA MET --- ## Phase 3 Final Statistics ### Test Metrics - **Tests**: 193 total (105 new tests added in Phase 3) - **Coverage**: 83.36% (69.56 percentage point increase from 13.80%) - **Coverage Progression**: 13.80% → 77.07% → 79.83% → 83.36% ### Code Metrics - **New Modules**: config.py (95 lines), health.py (48 lines), errors.py (55 lines) - **Files Changed**: 16 files (7,118 insertions) - **Documentation**: 4,893 lines across 5 comprehensive guides ### Release Metrics - **Version**: 0.4.0 - **PyPI Downloads**: Available at https://pypistats.org/packages/pyodbc-mcp-server - **GitHub Release**: Comprehensive notes with all Phase 3 achievements - **Workflow Jobs**: All 4 jobs passed (Build, Release, Test PyPI, Production PyPI) --- ## Notes ### Testing Infrastructure Learnings - FastMCP decorators require .fn() access pattern - Multi-query tools need side_effect mocking - Column names must match query expectations (case-sensitive) ### Configuration System Learnings - TOML is ideal for config files (stdlib support in Python 3.11+) - CLI args need `is not None` checks to allow empty strings - Health checks at startup provide better UX than runtime errors ### Error Handling Learnings - Retry logic must be sync (not async) when called from thread pool - Use actual pyodbc.Error in tests (not Mock objects) to avoid BaseException inheritance issues - Test isolation is critical - global state (_config) can cause intermittent test failures - Error decorator pattern (@handle_tool_errors) provides consistent error handling across all tools ### Documentation Learnings - Comprehensive documentation significantly improves user onboarding - Troubleshooting guides should be organized by error type and use case - Example queries are valuable for learning tool capabilities - Developer guide helps new contributors understand architecture and testing patterns - Documentation should cross-reference related docs for easy navigation ### Release Process Learnings - GitHub trusted publishing is superior to API tokens (secure, automated, auditable) - Test PyPI validates workflow before production consequences - Pre-commit hooks catch quality issues early (PEP 257, mypy, ruff) - Comprehensive release notes help users understand changes - PyPI badges and "What's New" sections improve discoverability ### Phase 3 Complete Summary All production readiness goals have been achieved: 1. ✅ Testing infrastructure (193 tests, 83.36% coverage) 2. ✅ Configuration improvements (CLI, TOML, env vars, validation) 3. ✅ Error handling (typed exceptions, retry logic, timeouts) 4. ✅ Documentation (5 comprehensive guides, 4,893 lines) 5. ✅ **v0.4.0 Published to PyPI** (GitHub + Test PyPI + Production PyPI) --- ## Next Phase (Phase 4) - Advanced Features **Target Version**: v1.0.0 When ready to begin Phase 4, see ROADMAP.md for complete details. Key goals include: 1. **Multi-Database Support** - `SwitchDatabase(database_name)` tool - `ListDatabases()` tool - Per-request database context 2. **Performance Features** - Query result caching with TTL - Prepared statement caching - Query complexity analysis 3. **Observability** - Metrics endpoint (query count, latency, errors) - Resource change notifications - Audit logging 4. **Extended Query Support** - Stored procedure execution (read-only) - Table-valued function calls - Parameterized query templates --- **Phase 3 Status**: ✅ **COMPLETE** **Release Status**: ✅ **v0.4.0 Published to PyPI** **Next Phase**: Phase 4 - Advanced Features (v1.0.0) **Last Updated**: 2026-01-03 03:30 UTC