VectorCode - Semantic Code Search

VectorCode provides semantic code search using RAG (Retrieval-Augmented Generation) and vector embeddings. It indexes code files into ChromaDB and enables finding relevant code by meaning rather than exact text matching.

When to Use This Skill

• Finding code with similar functionality but different naming conventions
• Discovering implementation examples across large codebases
• Understanding where specific concepts/patterns are used
• Retrieving contextual code for AI-assisted development
• Searching when you don't know exact variable/function names

Available MCP Tools

List Projects

mcp__vectorcode__ls - Get list of indexed projects (no parameters)