# codexlens-search

> Lightweight semantic code search engine — 2-stage vector + FTS + RRF fusion + MCP server for Claude Code

- **URL**: https://www.freshcrate.ai/projects/codexlens-search
- **Author**: catlog22
- **Category**: MCP Servers
- **Latest version**: `v0.8.0` (2026-03-23)
- **License**: MIT
- **Source**: https://github.com/catlog22/codexlens-search
- **Language**: Python
- **GitHub**: 44 stars, 6 forks
- **Registry**: github
- **Tags**: `python`

## Description

Lightweight semantic code search engine — 2-stage vector + FTS + RRF fusion + MCP server for Claude Code

## Recent releases

| Version | Date | Urgency | Changes |
| --- | --- | --- | --- |
| `v0.8.0` | 2026-03-23 | Medium | ## What's New  ### Two-Hop Query Expansion  Natural language queries now get automatically expanded with relevant code symbols before search, closing the vocabulary gap between abstract descriptions and concrete code.  **How it works:**  1. **Intent gate** — only expands natural language queries; code symbol queries pass through unchanged 2. **First hop** — embeds the query and finds nearest symbol names from the index vocabulary (cosine > 0.35) 3. **Second hop** — discovers neighbor symbols tha |
| `v0.7.0` | 2026-03-23 | Medium | ## Highlights  ### Context-Aware Chunking (S2 Strategy) Chunks now include structural context headers (file path, class, function) before embedding. This dramatically improves semantic search recall by giving the embedding model richer context about each code chunk.  **Ablation benchmark results (20-query test suite):** - **Recall**: 0.208 → 0.850 (+320%) - **MRR**: 0.151 → 0.696 (+361%) - **Zero-recall queries**: 15 → 3 (-80%)  ### Critical Bug Fix: Auto-Quality Vector Index Detection Fixed `_h |

## Dependency audit

- **Score**: 85/100
- **Total deps**: 11
- **Resolved**: 6
- **Unresolved**: 5
- **License conflicts**: 0
- **Warnings**: 3
- **Scanned**: 2026-06-01

## Citation

- HTML: https://www.freshcrate.ai/projects/codexlens-search
- Markdown: https://www.freshcrate.ai/projects/codexlens-search.md
- Dependencies JSON: https://www.freshcrate.ai/api/projects/codexlens-search/deps

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