CoderSwap MCP Server

You'd reach for this when you're building a research knowledge base and want semantic search without leaving Claude Desktop. It implements hybrid vector search, combining traditional keyword matching with embedding-based similarity to surface relevant documents from your research collection. The setup gives you a local searchable index for papers, notes, or documentation that Claude can query directly during conversations. Think of it as your own mini research assistant layer, useful when you're iterating on AI projects and need to reference your accumulated knowledge without context switching to external tools or manual file hunting.