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  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables AI agents to analyze and diff binaries by driving Ghidra headless or inside its GUI, exposing native reverse-engineering tools such as listing functions and segments, searching strings, decompiling, disassembling, and following cross-references. Ships with a devcontainer and supports local stdio or remote HTTP deployment.
    MIT
  • A
    license
    Not graded
    quality
    A
    maintenance
    Enables MCP clients to load eight on-demand coding skills and inspect project repositories through bounded, read-only map, search, read, diff, checks, and style tools. It keeps context lean by loading skill bodies only when needed and limiting repository scan and output sizes.
    1
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    Enables asking natural-language questions about any GitHub repository and receiving answers grounded in the actual code, with read-only enforcement and automatic repository fetching.
    1
    2 npm
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    A read-only MCP server that lets a Claude chat explore your local repository and answer questions about it, returning synthesized answers with file:line references.
    3
    1
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    Extracts deterministic architecture maps from codebases for AI agents, enabling queries about blast radius, routes, security findings, and production readiness without sending code anywhere.
    6
    27 PyPI
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    Enables AI agents to search and retrieve details about Odoo code elements (models, fields, views, etc.) with exact file locations using MCP tools.
    9
    1
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Enables coding agents to index AscendC operators into a committed .uo graph and answer structural queries about Host, TilingKey, TilingData, and Kernel components via MCP.
    5
    6
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Provides coding agents with a compact map of a TypeScript/TSX codebase, enabling direct answers about symbol locations, imports, dependencies, and references while reducing token usage.
    5
    4 npm
    1
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Local-first, code-aware engineering cognition for AI coding agents - persistent memory, contextual retrieval, and continuous cognition about your codebase.
    4
    15
    3
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    Enables storing and querying structured information about software code entities (classes, functions, files) and their relationships (calls, imports) along with qualitative observations like design decisions and change rationale.
    9
    11 npm
    5
    MIT
  • A
    license
    B
    quality
    A
    maintenance
    Exposes Lachesis's code navigation tools over MCP, letting LLM agents ask precise compiler-level questions about dataflow, taint, callers, and guards in source code.
    50
    37 PyPI
    6
    AGPL 3.0
  • A
    license
    B
    quality
    F
    maintenance
    An MCP server for gitingest. It allows MCP clients like Claude Desktop, Cursor, Cline etc to quickly extract information about Github repositories including repository summaries, project directory structure, file contents, etc
    3
    138
    MIT
  • F
    license
    C
    quality
    D
    maintenance
    Provides tools for mapping and analyzing GitHub repositories. It allows users to set a GitHub Personal Access Token and retrieve detailed information about a specified repository, including its structure and summary statistics.
    2
    25
    -
  • A
    license
    Not graded
    quality
    B
    maintenance
    A local, read-only MCP server that provides AI coding agents with structural evidence about a repository, including dependency analysis and impact assessment, while naming the boundary of every answer without any LLM calls.
    3 npm
    Apache 2.0