Search Code MCP
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- AlicenseAqualityDmaintenanceEnables structural code search and refactoring across 20+ programming languages using ast-grep patterns, with safe dry-run mode and flexible filtering.1MIT
- AlicenseNot gradedqualityBmaintenanceEnables 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.MIT
- AlicenseAqualityDmaintenanceEnables AI assistants to understand and navigate codebases through structural analysis. Provides code mapping, symbol search, and impact analysis using ast-grep for accurate parsing of Python, JavaScript, TypeScript, and Go projects.453MIT
- FlicenseDqualityDmaintenanceEnables AI agents to perform semantic search over codebases by converting natural language queries into efficient search patterns like grep and ripgrep. It utilizes LLMs to verify relevance and find code snippets that traditional keyword-based searches might miss.1-
- AlicenseAqualityCmaintenanceProvides AI assistants with progressive code intelligence to explore repository structure, find symbols, and assess the impact of changes using ast-grep.3MIT
- AlicenseAqualityDmaintenanceProvides LLM-optimized filesystem access with intelligent file pagination for large files, lightning-fast ripgrep-powered code search with regex support, and security sandboxing to safely explore and search codebases.79 npm1MIT
TDQS
Scored across 6 tools
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.
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.
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.
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.