indxr vs chiasmus
indxr: indxr gives AI coding agents a structural map of codebases, reducing token costs by ~5x compared to reading full files. It supports 27 languages, provides a 22-tool MCP server for live queries, and features incremental caching, git structural diffing, and dependency graphs. Setup is one-command with `indxr init` for popular AI coding agents.; chiasmus: Chiasmus is an MCP server that integrates formal verification (Z3, Prolog) and code analysis (tree-sitter) to solve complex logical and structural problems. It translates natural language into formal logic using templates and provides verified results. It also analyzes source code call graphs for dead code, impact, and reachability.
TL;DR
AI coding agents understanding a codebase without full file reads
Detect conflicts in access control rules
Side-by-Side Comparison
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