MCP Knowledge Base Server

Example Use Cases

• 1

  Knowledge base retrieval and matching capabilities.

• 2

  Semantic search and embedding-based retrieval.

• 3

  Integration with PubMed and medical knowledge data.

Description

This repository provides a set of Python components including knowledge base data and vector stores for retrieval, matching, and reasoning tasks. It supports BM25 and similarity matching, text normalization, entity matching, semantic search with sentence-transformers, and PubMed retrieval tools. It serves as the capability implementation layer for upstream MCP servers, without running a full MCP server itself.