Code Reference Optimizer
Optimizes code context extraction, diff analysis, and import management to minimize token usage for AI assistants.
About
mcpsaver functions as an MCP (Model Context Protocol) server meticulously engineered to enhance the efficiency of AI assistants by significantly reducing token consumption. It intelligently extracts minimal, yet highly relevant, code context, performs token-aware analysis of code diffs, and optimizes import statements. Supporting multiple programming languages, mcpsaver streamlines the interaction between AI models and codebases, ensuring that only the essential information is provided, thereby improving performance and reducing operational costs.
Key Features
- Standard I/O server for easy integration with MCP clients
- Configurable runtime settings for extraction, caching, and more
- Intelligent import optimization based on used symbols
- Token-aware caching and minimal diff analysis
- Multi-language parsing (TypeScript/JavaScript, Python, Go, Rust)
- 0 GitHub stars
Use Cases
- Efficiently analyzing code changes for AI interpretation and summarization
- Reducing token usage for AI code assistants and models
- Providing targeted and minimal code context to AI for task completion
- Optimizing import statements in codebases to reduce noise for AI processing
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