Before we start
WedoLow MCP Server
WedoLow MCP Server connects beLow to your AI coding agents for intelligent, automated optimization. Guide code generation with real performance data.
Core Capabilities
Project-Aware Intelligence
Complete access to your project structure and dependencies
Full visibility into compilation environment and build configuration
Understanding of target platform and optimization constraints
Context-driven AI optimization suggestions
Iterative Optimization Loop
AI analyzes code and identifies optimization opportunities
Real-time performance feedback and metrics gathering
Automated application of optimizations
Refinement based on measured results
How It Works
Setup — Install MCP Server alongside beLow and configure your project
Connect — Link your AI agent (GitHub Copilot, Claude, Gemini, or other MCP-enabled LLM)
Optimize — Ask your AI agent to analyze and optimize your code
Iterate — AI refines optimizations based on performance metrics and your feedback
Deploy — Use optimized code in production
Supported AI Platforms
GitHub Copilot (VS Code & JetBrains) with GPT-4.1 and Claude Sonnet 4
Claude (any MCP-enabled integration)
Gemini CLI and Gemini Pro 2.5
Junie (Beta) for JetBrains CLion
Any MCP-enabled AI agent
Last updated
