Add Support for any AI Provider ( Ant & Gem current )

[mirotherapper]

🎯 Overview

This PR adds support for Google Gemini as an additional AI provider alongside the existing Anthropic Claude integration, giving users more choice in AI models for their MCP applications.

✨ Features Added

• Multi-AI Provider Support
• Google Gemini Integration: Full support for Gemini 1.5 Pro model
• Provider Selection: Easy switching between Anthropic Claude and Google Gemini
• Backward Compatibility: Existing Claude-only setups continue to work unchanged
• New Files
• python-example/client/client_multi_ai.py - Enhanced client with dual AI provider support
• python-example/client/run_client.py - Launcher script for easy provider selection
• python-example/client/SETUP_SUMMARY.md - Comprehensive setup documentation
• CHANGELOG.md - Project changelog
• Enhanced Configuration
• Updated .env file to support both API keys
• Added google-generativeai dependency to pyproject.toml
• Command-line arguments for provider selection

**🚀 Usage Examples**Quick Start

## Run with Claude (default)

• python run_client.py --provider anthropic
  ## Run with Gemini
• python run_client.py --provider gemini
  ## List available providers
• python run_client.py --list-providers
• Environment Configuration
  ## Choose your AI provider by setting one of these API keys
• ANTHROPIC_API_KEY=your_anthropic_api_key
• GEMINI_API_KEY=your_gemini_api_key
  ## Set the provider you want to use: 'anthropic' or 'gemini'
• AI_PROVIDER=anthropic

🔧 Technical _Implementation

_Gemini Tool Calling

• Uses prompt engineering approach for tool invocation (Gemini doesn't natively support MCP tools)_
• JSON-based tool calling interface
• Comprehensive error handling and fallbacks
• Architecture
• Maintains existing client architecture
• Polymorphic AI provider interface
• Clean separation of concerns between providers
• Compatibility
• Python 3.11+ (reduced from original 3.12+ requirement)
• All existing functionality preserved
• No breaking changes to existing APIs

🧪 Testing

Weather Queries Tested
✅ "What's the weather like in New York City?"
✅ "Are there any weather alerts in California?"
✅ "Tell me the forecast for Boston tomorrow."
Provider Switching
✅ Dynamic provider selection via command line
✅ Environment variable configuration
✅ Proper error handling for missing API keys

📚 Documentation Updates
Updated README.md with dual provider instructions
Added comprehensive setup documentation
Created changelog for tracking changes
Enhanced .gitignore for better project hygiene

🎯 Benefits
User Choice: Developers can choose their preferred AI provider
Cost Optimization: Switch between providers based on pricing/features
Redundancy: Fallback options if one provider has issues
Innovation: Easy to add more providers in the future

🔍 Code Review Notes
All new code follows existing patterns and conventions
Comprehensive error handling and logging
Type hints and documentation maintained
No impact on existing functionality
_

***This enhancement makes the MCP Streamable HTTP example more versatile and demonstrates how MCP can work with multiple AI providers, not just Anthropic Claude.

_

[mirotherapper]

Pulled with soloution beware off possible infection Lazerus