Show HN: Enola-A deterministic architecture graph for developers and AI agents (github.com)

Enola has been launched as a local Model Context Protocol (MCP) server that creates a precise architectural graph of a codebase from its source—covering modules, types, routes, and dependencies. This tool eliminates the guesswork typically associated with AI coding agents by providing a deterministic model of a codebase that agents can leverage to navigate and code effectively. With enola, developers can efficiently interact with their projects, as the AI begins with an accurate representation of the code architecture rather than inferring or guessing the structure. The significance of enola lies in its potential to enhance productivity within the AI/ML community. By offering a structured model built through parsers and graph algorithms, it reduces errors commonly encountered during coding sessions, such as misreading code context or overlooking essential dependencies. The tool supports multiple programming languages and frameworks, facilitating its integration into diverse development environments. With features like impact analysis, diff snapshots, and queries over the architectural graph, enola streamlines workflows, enabling safer refactoring, quicker project onboarding, and better understanding of code connections—ultimately transforming AI-assisted coding into a more reliable and efficient practice.