v3.3.2: Dependency updates

Changes

• Updated all dependencies to latest versions

Dependency Updates

Package	From	To
fastmcp	3.0.2	3.1.1
anthropic	0.84.0	0.86.0
fastapi	0.134.0	0.135.2
starlette	0.52.1	1.0.0
uvicorn	0.41.0	0.42.0
pytz	2025.2	2026.1.post1
python-dotenv	1.2.1	1.2.2
ruff	0.15.4	0.15.8
pytest-cov	7.0.0	7.1.0
black	26.1.0	26.3.1
anyio, attrs, cyclopts, and other transitive updates

Quality Metrics

• 248 tests passing
• 90% code coverage
• 0 mypy errors (strict mode)
• 0 ruff lint/format issues

v3.4.0: Phase 8 + Extended Features

Changes

• Updated README.md: Phase 7 → Phase 8 Complete
• Phase 8: Standardized error handling with @error_handler decorator
• Ruff formatting: 100% compliant (line-length 88)
• Extended features: REST API and Claude chat integration

Quality Metrics

• 248+ tests passing
• 90% code coverage
• 0 mypy errors (strict mode)
• Full async support with service layer enrichment

v3.3.1: Documentation Update

Changes

• Updated README.md with Phase 8 error handling documentation
• Clarified quality standards and code formatting approach
• Added error handling pattern examples

Quality Metrics

• 248+ tests passing
• 90% code coverage
• 0 mypy errors (strict mode)
• Phase 8 error handling standardized across all tools

v3.3.0

Release v3.3.0 - FastMCP 3 Upgrade

Updated fastmcp to v3.0.2 with full API compatibility.
All 177 tests passing.

Open-Meteo MCP v3.0.0 - Major Release

Open-Meteo MCP v3.0.0 - Major Release

Major release with swiss-ai-mcp-commons integration for weather intelligence.

Breaking Changes ⚠️

• Requires swiss-ai-mcp-commons >= 1.0.0
• Structlog version standardized to >= 23.1.0

Major Features 🎉

• Enhanced weather data models
• Centralized location handling
• Improved forecast validation
• Better timezone support
• Production-grade structured logging

What's New

• Integration with swiss-ai-mcp-commons
• Added Location model for consistency
• Improved error handling with JSON-RPC codes
• Response caching with CachedHttpClient
• Enhanced structured logging

Test Coverage

• 125 tests passing ✅
• Comprehensive weather forecasting
• Full backward compatibility

Known Issues

• 4 tests in test_meteo_improvements.py fail (pre-existing, unrelated to commons)
• These test advanced timezone features; core weather functionality unaffected

Migration

1. Update pyproject.toml to v3.0.0
2. Run uv sync
3. No code changes needed - APIs unchanged
4. All endpoints remain compatible

Status: Production Ready ✅

Version 2.1.0

Improved documentation and asset descriptions for better integration with AI assistants