feat: Add Exa MCP Server - AI-powered semantic search integration

[Himanshu200102]

• Implements 5 atomic tools for intelligent content discovery
• Neural search capabilities via Exa API integration
• Tools: search_web, find_similar_content, search_recent_content, search_academic_content, get_page_contents
• Comprehensive documentation with setup instructions
• Complete proof of correctness videos for all tools
• Production-ready error handling and configuration
• Extensive test suite with integration and unit tests
• Web demo interface for easy testing and demonstration

Addresses Klavis AI assignment requirements for MCP server development.

Description

This PR contributes a comprehensive MCP server for Exa's AI-powered search API, enabling intelligent, semantic content discovery for AI agents. The implementation follows Klavis AI's development philosophy of atomic, well-designed tools that provide clear vocabulary for AI interaction.

Key Implementation Highlights:

• 5 Specialized Tools: Each tool performs one specific search function exceptionally well
• Neural Search Integration: Leverages Exa's AI to understand context and meaning, not just keywords
• Production-Ready Architecture: Comprehensive error handling, logging, and configuration management
• Multiple Interfaces: Both MCP protocol compliance and web demo for testing
• Complete Documentation: Professional README with setup, usage examples, and troubleshooting

Tools Implemented:

1. search_web - General semantic web search with neural understanding
2. find_similar_content - Content similarity discovery using AI embeddings
3. search_recent_content - Time-filtered search for fresh, up-to-date information
4. search_academic_content - Scholarly content search with academic source filtering
5. get_page_contents - Full content extraction with AI-generated summaries

Related issue

Addresses Klavis AI Founding Engineer assignment - MCP server development task for Exa API integration.

Type of change

• [x ] New MCP feature (non-breaking change which adds functionality)
• [x ] Documentation update

How has this been tested?

(Add screenshots or recordings here if applicable.)
Comprehensive Testing Strategy:

1. Video Proof of Correctness :
   Videos are available in klavis\mcp_servers\exa\examples\proof_of_correctness/

   • ✅ 1 - Intro.mp4 - Server overview and tool explanations
   • ✅ 2 - AI Web Search.mp4 - Natural language web search demonstration
   • ✅ 3 - Find Similar Content.mp4 - Semantic similarity discovery
   • ✅ 4 - Recent Content Search.mp4 - Time-filtered search capabilities
   • ✅ 5 - Academic Search.mp4 - Scholarly content discovery
   • ✅ 6 - Extract Content.mp4 - Full content extraction and analysis

   Each video demonstrates:

   • Natural language queries in MCP clients
   • Server logs confirming correct tool execution
   • Real API results from Exa (no mock data)

2. Automated Test Suite:

   • Unit tests for individual tool functionality
   • Integration tests for end-to-end workflows
   • Client integration tests for MCP protocol compliance
   • Direct API testing scripts for validation

3. Manual Testing:

   • MCP protocol testing with multiple clients
   • Web demo interface for interactive testing
   • Error handling validation (rate limits, invalid inputs, network issues)
   • Performance testing with various query types

4. Real-World Validation:

   • Live Exa API integration with actual search results
   • Production environment simulation
   • Multiple search scenarios and edge cases

Checklist

• [ x] I have performed a self-review of my own code
• [ x] I have commented my code, particularly in hard-to-understand areas
• [ x] I have made corresponding changes to the documentation
• [ x] My changes generate no new warnings
• [ x] I have added tests that prove my fix is effective or that my feature works
• [ x] New and existing tests pass locally with my changes

[CLAassistant]

All committers have signed the CLA.