A Model Context Protocol (MCP) server that enhances AI assistance for C++ programming by providing modern best practices, performance optimization guidance, RAII advice, template programming help, and real-time web research capabilities.
- Analyze C++ code for modern best practices
- Detect common anti-patterns and suggest improvements
- Identify memory management issues
- Check for const correctness and type safety
- Auto keyword: Best practices for type deduction
- Smart pointers: RAII-compliant memory management
- Move semantics: Efficient resource transfer
- Constexpr: Compile-time computation
- Concepts (C++20): Template constraints with clear requirements
- Cache locality: Memory access pattern optimization
- Vectorization: SIMD optimization techniques
- Memory management: Efficient allocation strategies
- Compiler optimizations: Best practices for performance
- Smart pointer usage patterns
- Resource management best practices
- Exception safety guidelines
- Ownership semantics
- CRTP: Curiously Recurring Template Pattern
- SFINAE: Substitution Failure Is Not An Error
- Concepts: Modern template constraints
- Variadic templates: Variable argument templates
- Type traits: Compile-time type manipulation
- Live web search for latest C++ techniques and best practices
- Real-time results from authoritative sources like ISO C++, CppCon, blogs
- Recent developments in C++20/23/26 features
- Community discussions from Stack Overflow, Reddit, GitHub
- Performance guides and optimization techniques
- Fallback to curated knowledge when API is not configured
# Install and run
npx cpp-enhancement-mcp-server
# First-time setup (configure Brave Search API)
npx cpp-enhancement-mcp-server --setup
# Run interactive demo
npx cpp-enhancement-mcp-server --demo
- Install dependencies:
pip install -r requirements.txt
- Setup Brave Search API (optional but recommended):
python cpp_enhancement_server.py --setup
See BRAVE_SEARCH_SETUP.md for detailed instructions.
- Configure MCP client: Add the server configuration to your MCP client (Claude Desktop, Cursor, etc.):
{
"mcpServers": {
"cpp-enhancement": {
"command": "npx",
"args": ["cpp-enhancement-mcp-server"],
"env": {},
"description": "C++ Programming Enhancement MCP Server"
}
}
}
- Run the server:
python cpp_enhancement_server.py
Analyze C++ code and provide improvement suggestions.
Parameters:
-
code
(string): C++ code to analyze -
focus_areas
(array, optional): Specific areas to focus on
Example:
int* ptr = new int(42);
// Analysis will suggest using smart pointers
Get best practices for specific C++ topics.
Parameters:
-
topic
(string): C++ topic (auto, smart_pointers, move_semantics, etc.) -
include_examples
(boolean, optional): Include code examples
Suggest modern C++ alternatives to legacy code patterns.
Parameters:
-
legacy_code
(string): Legacy C++ code to modernize -
target_standard
(string, optional): Target C++ standard (cpp11, cpp14, cpp17, cpp20, cpp23)
Get performance optimization suggestions.
Parameters:
-
code
(string): C++ code to optimize -
optimization_type
(string, optional): Type of optimization (cache_locality, vectorization, memory_management, general)
Get advice on memory management and RAII.
Parameters:
-
code
(string): C++ code with memory management concerns -
focus
(string, optional): Focus area (smart_pointers, raii, memory_leaks, ownership)
Get help with template metaprogramming.
Parameters:
-
code
(string): Template code or description -
technique
(string, optional): Specific technique (sfinae, crtp, concepts, variadic_templates, type_traits)
Search for latest C++ techniques and best practices.
Parameters:
-
query
(string): Search query for C++ techniques -
include_recent
(boolean, optional): Focus on recent developments
# Analyze code for improvements
result = await analyze_cpp_code(
code="int* ptr = new int(42); delete ptr;",
focus_areas=["memory_safety", "modern_features"]
)
# Get smart pointer best practices
result = await get_cpp_best_practices(
topic="smart_pointers",
include_examples=True
)
# Modernize old C++ code
result = await suggest_modern_alternatives(
legacy_code="for(int i = 0; i < vec.size(); ++i) { process(vec[i]); }",
target_standard="cpp20"
)
The server includes a comprehensive knowledge base covering:
- Modern C++ Features: auto, smart pointers, move semantics, constexpr, concepts
- Performance Optimization: cache locality, vectorization, memory management
- Design Patterns: RAII, CRTP, type erasure, policy-based design
- Common Pitfalls: memory safety, performance anti-patterns, threading issues
- Fork the repository
- Create a feature branch
- Add new C++ techniques or improve existing ones
- Submit a pull request
MIT License - see LICENSE file for details.
For issues and questions:
- Create an issue on GitHub
- Check the documentation
- Review the C++ Core Guidelines
Enhance your C++ programming with AI-powered assistance!