Structured Repo Context

Example Use Cases

• 1

  Perform semantic code search across large codebases with hybrid vector and keyword search.

• 2

  Understand code structure including call graphs and cross-file dependencies.

• 3

  Incremental indexing and fast updates to keep code context current.

Description

SRC indexes codebases into semantic, searchable chunks with hybrid search capabilities combining vector similarity, keyword matching, and fusion techniques. It supports over 50 programming languages with full AST support for 18, enabling AI assistants to understand code structure, call graphs, and cross-file context. The tool can be used as a standalone CLI or integrated as an MCP server with AI assistants like Claude Desktop and Cursor, facilitating efficient code review, debugging, documentation, refactoring, onboarding, and security audits.