MCPFast / Tools / Graphlens: Polyglot Code Analysis for AI Dependency Graphs
Graphlens analyzes Python, TypeScript, Go, Rust & PHP into a shared graph, enabling dependency analysis and cross-language boundaries for AI builders.
View on GitHub→Graphlens is a powerful tool designed for AI builders who need to understand complex codebases spanning multiple programming languages. It addresses the challenge of analyzing dependencies and relationships within projects that aren't confined to a single language. By transforming code into a unified graph representation, Graphlens provides a clear, actionable view of your project's architecture, facilitating better decision-making for AI development and integration.
Graphlens ingests source code from various languages and constructs a shared, interconnected graph. This graph represents the dependencies, function calls, and relationships between different components of your project. Instead of analyzing each language in isolation, Graphlens bridges these gaps, allowing you to visualize and query how code written in Python interacts with TypeScript, Go, Rust, or PHP. This polyglot capability is crucial for modern AI systems that often integrate components built with diverse technology stacks.
Graphlens is an essential tool for AI developers, software architects, and engineering teams working on large-scale, multi-language AI projects. If your AI system relies on microservices written in different languages, or if you're integrating AI models with existing backend infrastructure built with diverse technologies, Graphlens can provide invaluable insights. It's particularly useful for identifying potential integration issues, understanding the impact of code changes across language boundaries, and optimizing the overall architecture of your AI applications.