概要
SDL-MCP is a Model Context Protocol (MCP) server that transforms codebases into a queryable, versioned knowledge system for AI agents. Rather than having agents read entire files, it indexes repositories into a SQLite-backed symbol ledger, extracting symbols and their dependency relationships. This foundation enables agents to search, retrieve precise context via 'symbol cards', build focused graph slices for tasks, and refresh context incrementally. The system also supports responsible code access through policy-gated options, offering skeleton views, hot-path excerpts, and controlled full-code windows. Ultimately, SDL-MCP facilitates faster, cheaper, and safer agent assistance by reducing token usage, enhancing context relevance, and providing better governance through auditing.