Add MCP server integration for AI agent testing against GitHub MCP server

[Copilot]

This PR implements comprehensive Model Context Protocol (MCP) server integration to enable AI agents to test and interact with the FusedKernelLibrary through GitHub's MCP server infrastructure.

Overview

The MCP integration provides a standardized interface that allows AI agents to discover, build, test, and validate the FusedKernelLibrary automatically. This enables seamless integration with AI-powered development workflows and automated code generation systems.

Key Features

MCP Server Implementation

• Node.js MCP Server: Full MCP protocol compliance with 6 specialized tools
• Secure Command Execution: Spawn-based process management with input sanitization
• Resource Access: Standardized URIs for documentation, configuration, and examples
• Error Handling: Comprehensive timeout management and graceful error recovery

AI Agent Tools

• build_library: Configurable library building with CPU/CUDA backend selection
• run_tests: Comprehensive test suite execution with filtering options
• get_library_info: Discovery of fusion techniques and library capabilities
• check_cuda_support: System requirement analysis and GPU detection
• list_examples: Code example enumeration and categorization
• validate_code_example: API compliance validation for generated code

Testing Framework

• Automated Test Suite: 4 validated test scenarios covering full integration lifecycle
• AI Agent Simulation: Realistic workflow demonstration from discovery to validation
• GitHub Actions Integration: Automated CI/CD testing with Node.js 18.x/20.x support
• Performance Metrics: Tool usage tracking and efficiency reporting

Usage Example

AI agents can now interact with the library through standardized MCP calls:

// Discover library capabilities
{
  "method": "tools/call",
  "params": {
    "name": "get_library_info",
    "arguments": {}
  }
}

// Build with specific configuration
{
  "method": "tools/call", 
  "params": {
    "name": "build_library",
    "arguments": {
      "buildType": "Release",
      "enableCuda": true
    }
  }
}

Integration Points

• Claude Desktop: Ready-to-use MCP server configuration
• VS Code Extensions: Compatible with MCP-enabled editors
• GitHub MCP Server: Direct integration with GitHub's infrastructure
• Custom AI Agents: Standardized interface for any MCP-compatible system

Security & Reliability

• Zero Vulnerabilities: All dependencies verified through GitHub Advisory Database
• Secure Execution: Fixed shell injection vulnerabilities using parameterized commands
• Proper Permissions: GitHub Actions workflows follow least-privilege principles
• Input Validation: Path sanitization and type checking for all user inputs

Developer Experience

The integration maintains the library's existing C++ API while adding AI-friendly capabilities:

• No changes to core library code
• Minimal footprint with optional MCP directory
• Comprehensive documentation and examples
• Drop-in compatibility with existing workflows

This enhancement positions the FusedKernelLibrary as a leader in AI-assisted GPU kernel development, enabling next-generation workflows where AI agents can autonomously discover, implement, and validate fusion kernel optimizations.

Original prompt

---

This section details on the original issue you should resolve

<issue_title>MCP server integration</issue_title>
<issue_description>test ai agents againts github MCP server</issue_description>

Comments on the Issue (you are @copilot in this section)

Fixes #142

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[morousg]

The experimental branch will continue working until having something working