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git-ai-code-search

Semantic code search and codebase understanding using git-ai MCP tools. Use when: (1) Searching for symbols, functions, or semantic concepts, (2) Understanding project architecture, (3) Analyzing call graphs and code relationships. Triggers: "find X", "search for X", "who calls X", "where is X", "understand this codebase".

personAuthor: jakexiaohubgithub

git-ai Code Search

Semantic code search with AST analysis and change tracking.

Quick Start

For Agents - 3-step pattern:

1. check_index({ path }) → verify index exists
2. semantic_search({ path, query }) → find relevant code  
3. read_file({ path, file }) → read the actual code

For Users - build index first:

cd your-repo
git-ai ai index        # build index
git-ai ai semantic "authentication logic"  # search

Core Tools

| Need | Tool | Example | |------|------|---------| | Search by meaning | semantic_search | { path, query: "error handling", topk: 10 } | | Search by name | search_symbols | { path, query: "handleAuth", mode: "substring" } | | Who calls X | ast_graph_callers | { path, name: "processOrder" } | | What X calls | ast_graph_callees | { path, name: "processOrder" } | | Call chain | ast_graph_chain | { path, name: "main", direction: "downstream" } | | Project overview | repo_map | { path, max_files: 20 } |

Rules

  1. Always pass path - Every tool requires explicit repository path
  2. Check index first - Run check_index before search tools
  3. Read before modify - Use read_file to understand code before changes

References