vector-search-workflows
Vector Search Workflows (MCP Vector Search)
Overview
Use mcp-vector-search to index codebases into ChromaDB and search via semantic embeddings. The recommended flow is setup (init + index + MCP integration), then search, and use index or auto-index to keep data fresh.
Quick Start
pip install mcp-vector-search
mcp-vector-search setup
mcp-vector-search search "authentication logic"
setup detects languages, initializes config, indexes the repo, and configures MCP integrations (Claude Code, Cursor, etc.).
Core Commands
Indexing
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