Provides codebase indexing and retrieval tools that give AI agents token-efficient, query-relevant context packages (symbols, imports, and dependencies) instead of scanning entire repositories.
Enables AI coding agents to retrieve repository context through stdio-based MCP tools, including ranked repo maps, context packs, and live symbol search.
Enables coding agents to retrieve task-relevant repository code, pack verbatim excerpts within a configurable token budget, expand cited line ranges, and optionally use local semantic search or verified JSON/TOON compression.
Enables coding agents to rank repository files, functions, and web search results using Jev-based probabilistic scoring, returning locations and confidence scores for the agent to review.