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    Provides AI coding agents with five intelligence layers (dependency graph, git history, documentation, architectural decisions, code health) via nine MCP tools, enabling deep codebase understanding and reducing exploration cost.
    Last updated
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    4,253
    AGPL 3.0
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    An MCP server that helps AI agents comprehend a codebase by providing tools for navigating, searching, and understanding code structure and history.
    Last updated
    10
    MIT
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    Provides structural, queryable understanding of a Python codebase via MCP tools, enabling direct lookups for callers, dependencies, and class hierarchies without repeated grep/read cycles.
    Last updated
    6
    Apache 2.0
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    An extensible MCP server that provides intelligent Python code analysis, navigation, and understanding capabilities for AI assistants like Claude.
    Last updated
    25
    MIT
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    MCP server that exposes llm-tldr code analysis tools (tree, structure, context, search, impact, etc.) to MCP clients like Claude Code for project understanding and debugging.
    Last updated
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  • A
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    Gives coding agents structured code understanding via tree-sitter with 23 tools and 10 languages, enabling precise queries instead of reading entire files.
    Last updated
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    27
    MIT
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    Enables AI assistants to analyze GDScript code structure, extract symbols, functions, and dependencies without reading entire files. Supports efficient navigation and understanding of Godot game engine codebases through tree-sitter parsing.
    Last updated
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    1
    MIT
  • F
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    The server facilitates natural language interactions for exploring and understanding codebases, providing insights into data models and system architecture using a cost-effective, simple setup with support for existing Claude Pro subscriptions.
    Last updated
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    27
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    Local-first codebase context engine that parses code into a ranked dependency graph and serves it to AI tools via MCP for deep structural understanding.
    Last updated
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    5
    1
    MIT
  • F
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    quality
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    Provides comprehensive codebase analysis and semantic understanding through integrated knowledge graphs, enabling AI assistants to understand project structure, patterns, dependencies, and context through multiple analysis tools and format generators.
    Last updated
    9
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    SourceSage is an MCP (Model Context Protocol) server that efficiently memorizes key aspects of a codebase—logic, style, and standards—while allowing dynamic updates and fast retrieval. It's designed to be language-agnostic, leveraging the LLM's understanding of code across multiple languages.
    Last updated
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  • A
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    An MCP server that enables Claude and other LLM clients to access Hanzo AI platform capabilities and provide powerful code management tools for analyzing, modifying, and understanding projects.
    Last updated
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    MIT
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    Analyzes source code dependencies across multiple programming languages in the specified directory to identify file relationships, assisting in dependency management and project structure understanding.
    Last updated
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    MIT