Codebaxing

npm version License: MIT

English | Tiếng Việt

MCP server for semantic code search. Index your codebase once, then search using natural language.

How It Works

Your Code → Tree-sitter Parser → Symbols → Embedding Model → Vectors → ChromaDB
                                                                           ↓
"find auth logic" → Embedding → Query Vector → Similarity Search → Results

Traditional search matches exact text. Codebaxing understands meaning:

Quick Start

1. Start ChromaDB

docker run -d -p 8000:8000 --name chromadb chromadb/chroma

2. Index Your Codebase (CLI)

npx codebaxing@latest index /path/to/your/project

This creates a .codebaxing/ folder with the index. Only needs to be done once per project.

Performance note: Local embedding is slow (~4 min for ~4,000 files). For faster indexing, use Gemini embedding (free) — see Cloud Embedding below.

3. Install MCP Server for AI Editors

npx codebaxing install              # Claude Desktop
npx codebaxing install --cursor     # Cursor
npx codebaxing install --windsurf   # Windsurf
npx codebaxing install --all        # All editors

Restart your editor. Now you can ask: "Find the authentication logic"

CLI Commands

Tip: Use @latest for index to ensure you have the newest version.

Search Options

npx codebaxing search "auth middleware" --path ./src --limit 10

• --path, -p - Codebase path (default: current directory)
• --limit, -n - Number of results (default: 5)

MCP Tools (for AI Agents)

After installing, AI agents can use these tools:

Note: The index tool is disabled for AI agents. Use CLI: npx codebaxing@latest index <path>

Configuration

Cloud Embedding (Fastest)

Local embedding runs on CPU and can be slow for large codebases (~4 min for ~4,000 files). Cloud embedding is ~25x faster and recommended for any project with 1,000+ files.

# Gemini (FREE - recommended, 1500 RPM free tier)
CODEBAXING_EMBEDDING_PROVIDER=gemini GEMINI_API_KEY=... npx codebaxing@latest index /path

# OpenAI (text-embedding-3-small, 384 dims)
CODEBAXING_EMBEDDING_PROVIDER=openai OPENAI_API_KEY=sk-... npx codebaxing@latest index /path

# Voyage (voyage-code-3, 1024 dims, code-optimized)
CODEBAXING_EMBEDDING_PROVIDER=voyage VOYAGE_API_KEY=va-... npx codebaxing@latest index /path

Note: Switching between providers requires full re-index (npx codebaxing@latest index <path>) due to dimension differences.

Environment Variables

Manual Editor Config

{
  "mcpServers": {
    "codebaxing": {
      "command": "npx",
      "args": ["-y", "codebaxing"],
      "env": { "CHROMADB_URL": "http://localhost:8000" }
    }
  }
}

{
  "mcpServers": {
    "codebaxing": {
      "command": "npx",
      "args": ["-y", "codebaxing"],
      "env": { "CHROMADB_URL": "http://localhost:8000" }
    }
  }
}

Supported Languages

Python, JavaScript, TypeScript, Go, Rust, Java, C/C++, C#, Ruby, PHP, Kotlin, Swift, Scala, Lua, Dart, Elixir, Haskell, OCaml, Zig, Perl, Bash, HTML, CSS, Vue, JSON, YAML, TOML, Makefile

Requirements

• Node.js >= 20.0.0
• Docker (for ChromaDB)
• ~500MB disk space (embedding model)

Technical Details

Local mode: The embedding model is downloaded from HuggingFace on first run and cached at ~/.cache/codebaxing/models/. Uses q8 quantization (~3x faster than fp32). No network access after initial download.

Cloud mode: Sends code chunks to OpenAI/Voyage API for embedding. ~25x faster than local CPU. Requires API key.

License

MIT