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⇱ MCP server for codebase discovery and structure generation | Glama


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MCP server for codebase discovery and structure generation

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  • Why this server?

    This server directly addresses the user's need by scanning codebases to extract structural information (classes, functions, etc.) and outputting it in LLM-friendly formats, which fits the 'fully clean by any LLM model' requirement.

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    An MCP server that scans codebases to extract structural information (classes, functions, etc.) with flexible filtering options and outputs in LLM-friendly formats.
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    GPL 3.0
  • Why this server?

    This server is an excellent fit as it analyzes codebases, extracts all symbols (functions, classes, etc.), and outputs them in an 'LLM-optimized markdown format' specifically designed for AI assistants to understand project structures efficiently.

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    Analyzes codebases and extracts all symbols (functions, classes, methods, interfaces, etc.) from 10+ programming languages into LLM-optimized markdown format. Enables AI assistants to understand entire project structures efficiently without processing full source code.
    Last updated
    2
    8
    MIT
  • Why this server?

    This server is designed to transform code repositories into 'LLM-friendly formats, preserving context and structure,' which directly matches the user's request for discovering codebase structure and generating it for LLMs.

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    A MCP server that transforms code repositories from GitHub, GitLab, or local directories into LLM-friendly formats, preserving context and structure for better AI processing.
    Last updated
    3
    11
    Apache 2.0
  • Why this server?

    This tool helps LLMs understand and navigate complex codebases by providing 'continuous repository mapping capabilities,' which implies discovering and generating code structure.

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    A powerful tool designed to help, primarily LLMs, understand and navigate complex codebases. It functions both as a command-line application for on-demand analysis and as an MCP (Model Context Protocol) server, providing continuous repository mapping capabilities to other applications. By generating
    Last updated
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    182
    MIT
  • Why this server?

    This server performs 'structural analysis of functions and classes across multiple programming languages,' directly fulfilling the requirement to discover codebase structure.

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    A modular MCP server that provides tools for file operations, regex-based code searching, and structural analysis of functions and classes across multiple programming languages. It also includes AI-powered features for intelligently updating files according to architectural changes.
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  • Why this server?

    This server enables LLMs to understand and analyze code structure through function call graphs, allowing AI assistants to explore relationships and dependencies, which aligns with generating code structure for LLMs.

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    An MCP server that enables LLMs to understand and analyze code structure through function call graphs, allowing AI assistants to explore relationships between functions and analyze dependencies in Python repositories.
    Last updated
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    17
  • Why this server?

    This server provides tools for 'codebase analysis' and allows LLMs to 'explore project structures,' which covers discovering the codebase and making its structure accessible.

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    Provides secure and efficient tools for codebase analysis, including file management, metadata retrieval, and dependency tree traversal. It allows LLMs to explore project structures and search for configuration files within a restricted root directory.
    Last updated
    16
    3
    MIT
  • Why this server?

    This server 'analyzes codebases and generates contextual prompts' to help AI assistants understand code repositories, implying it extracts structural information in an LLM-consumable format.

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    An MCP server that analyzes codebases and generates contextual prompts, making it easier for AI assistants to understand and work with code repositories.
    Last updated
    18
    MIT
  • Why this server?

    While language-specific, this server provides 'semantic understanding of C++ codebases' and helps LLMs 'find classes, functions, and their relationships,' which is a direct match for generating code structure.

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    An MCP server that provides semantic understanding of C++ codebases using libclang, allowing Claude to instantly find classes, functions, and their relationships without having to grep through thousands of files.
    Last updated
    29
    MIT