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 rank repository files, functions, and web search results using Jev-based probabilistic scoring, returning locations and confidence scores for the agent to review.
Deterministic, local-first repository context for coding agents. Maps an issue, prompt, or git diff to ranked files to read first, likely test commands, and review-risk notes—no API key required.