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Atelier vs code-index-mcp
What code-index-mcp says, vs. what it scored.
Tree-sitter AST indexing for 10 core languages, with fallback file indexing for 50+ more.
What code-index-mcp says about itself
“Intelligent code indexing and analysis for Large Language Models... bridges the gap between AI models and complex codebases.”
Publishes no numbers ...never against another search tool ~943 stars
What it actually scored — same 14 repos, same 7,213 queries as every other tool
| Tool | MRR | p95 | p100 |
|---|---|---|---|
| ★ Atelier +semantic (BGE) | 0.727 | 390ms | 1057ms |
| ★ Atelier lexical (default) | 0.676 | 134ms | 319ms |
| code-index-mcp | 0.343 | 377ms | 3830ms |
No performance or accuracy claim published in either direction -- no speed number, no quality number. On our benchmark it lands squarely mid-pack: 0.343 MRR, 377ms p95.
The true story
Every tool in this comparison, code-index-mcp included, has been through the exact same 14 repositories and 7,213 query/gold pairs that score Atelier — no cherry-picked queries, no separate corpus. Full methodology, every raw number, and the other 9 tools →