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joutvhu

Search Code MCP

by joutvhu

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      Enables structural code search and refactoring across 20+ programming languages using ast-grep patterns, with safe dry-run mode and flexible filtering.
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      Enables AI agents to discover open-source libraries worth reusing through multi-signal repository ranking and to search real code with sub-50ms local regex/semantic queries federated to live GitHub, grep.app, and package-registry backends. It exposes seven tools over stdio—repo search, code search, repo profile/tree, file and docs fetching, and a usage guide—with structured filters, typed pre-execution errors, and a byte-identical CLI twin.
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    TDQS

    A3.7/5.0

    Scored across 6 tools

    Disambiguation4/5

    Each tool has a distinct core purpose: search (find patterns), replace (modify), count (count only for token savings), dump_tree (AST inspection), find_symbols (symbol lookup), and list_files (glob listing). There is minor conceptual overlap between search, count, and find_symbols—all find code—but the descriptions clearly differentiate their outputs and use cases.

    Naming Consistency4/5

    All names use snake_case consistently, which is good. However, the pattern is mixed: some are bare verbs (search, replace, count) while others are verb_noun (dump_tree, find_symbols, list_files), a minor deviation from a single predictable convention.

    Tool Count5/5

    Six tools is well-scoped for a code search and refactoring server. Each tool serves a clear, non-redundant function, making the set efficient without being thin or bloated.

    Completeness4/5

    The surface covers the search/refactor lifecycle well: locate (search, find_symbols, list_files), inspect (dump_tree), quantify (count), and modify (replace). The main minor gap is a direct file-content read tool, though search and list_files let agents work around it.

    Maintenance

    ActivityNo data
    ResponsivenessNo issues