I built an MCP server for a knowledge graph. It doesn't call any LLM.

Most MCP servers I've looked at assume an LLM is somewhere in the pipeline, for entity extraction, embedding, or ranking. Some of them call an external API just to decide which node to fetch. I get why: it makes the server feel smarter. I was trying to solve a different problem. I spent a while trying to give Claude Desktop a reliable memory. Not conversation summaries. A way to ask whether a specific fact is in my data and get a binary answer back. I tried semantic search, vector similarity, RA