@sanderkooger/mcp-server-ragdocs

An MCP server for semantic documentation search and retrieval using vector databases to augment LLM capabilities.

memory-vector-store

A lightweight memory-based vector store with persistent storage support for both Node.js and browser environments. Efficiently store, retrieve, and search vector embeddings with minimal dependencies.

@qpd-v/mcp-server-ragdocs

A Model Context Protocol server for fetching and storing documentation in a vector database, enabling semantic search and retrieval to augment LLM capabilities with relevant documentation context.