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  • repowise

    repowise-dev
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    quality
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    maintenance
    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
    2
    11
    4,214
    AGPL 3.0

  • reference-mcp

    mark-burg
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    quality
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    maintenance
    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

  • Cerebro MCP

    marcodavidd020
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    Enables AI assistants to maintain persistent understanding of code projects across chat sessions via a SQLite brain that caches structural maps, summaries, and decisions. Provides tools for querying project structure, searching code, and recording insights to reduce token usage and avoid re-analysis.
    Last updated
    16
    6
    MIT

  • code-index

    RaviIITk
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    maintenance
    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

  • PyEye Server

    okeefeco
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    quality
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    maintenance
    An extensible MCP server that provides intelligent Python code analysis, navigation, and understanding capabilities for AI assistants like Claude.
    Last updated
    25
    MIT

  • mcp-tldr

    BenMousaAmine
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    license
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    quality
    D
    maintenance
    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
    18

  • codetree

    ThinkyMiner
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    quality
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    maintenance
    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
    23
    27
    MIT

  • sharplens-mcp

    pzalutski-pixel
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    maintenance
    A Model Context Protocol (MCP) server providing 62 AI-optimized tools for .NET/C# semantic code analysis, navigation, refactoring, and code generation using Microsoft Roslyn. Built for AI coding agents - provides compiler-accurate code understanding that AI cannot infer from reading source files alone.
    Last updated
    62
    29
    MIT

  • GDScript Code Analyzer

    minami110
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    license
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    quality
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    maintenance
    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
    8
    1
    MIT

  • Code Analysis MCP Server

    saiprashanths
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    license
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    quality
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    maintenance
    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
    4
    27

  • Graft

    amaar-mc
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    license
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    quality
    F
    maintenance
    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
    5
    5
    1
    MIT

  • PT-MCP (Paul Test Man Context

    mdz-axo
    F
    license
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    quality
    -
    maintenance
    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

  • sourcesage

    sarathsp06
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    license
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    quality
    -
    maintenance
    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
    13
    7

  • MCP-TY

    qinsehm1128
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    license
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    quality
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    maintenance
    An MCP server leveraging the Rust-based ty type checker to provide AI models with high-performance, semantic Python code analysis and structural navigation. It enables precise symbol searching, cross-file renaming, and diagnostic reporting to improve code understanding and editing accuracy.
    Last updated
    16
    1
    MIT