This server pairs DuckDB with assembly-accelerated vector operations for code search and symbol lookup. The underlying project uses FASM to write x86_64 dot product routines that get loaded as native libraries, falling back to pure Python if the compiled artifacts aren't available. The macOS port builds Mach-O dylibs instead of ELF shared objects, though you'll need Rosetta and an x86_64 Python runtime on Apple Silicon. Reach for this when you want fast semantic code search without spinning up a separate vector database process. The assembly acceleration targets the hot path in similarity calculations, which matters when you're indexing large codebases or running frequent symbol lookups against embedded vectors.
claude mcp add --transport stdio io.github.kroq86-vector-db-mcp -- docker run -i --rm ghcr.io/kroq86/vector-db-mcp:0.1.1