Developer Rebuilds Cerebras Knowledge Base as Lightweight MCP Server with No LLM Calls
A developer has converted a previously agent-driven knowledge base into a Model Context Protocol (MCP) server that exposes raw retrieval tools without making any LLM calls itself. The server, built on FastMCP over stdio, offers three tools — hybrid search, code pattern search, and a contributor lookup — returning lightweight JSON snippets rather than fully synthesized answers. Unlike earlier iterations that handled planning, reranking, and synthesis server-side, this version delegates all reasoning and orchestration to the connected client agent, such as Claude Code or Claude Desktop. The deliberate removal of the reranker reflects a design choice: since the client agent will evaluate results anyway, running a separate reranking step would duplicate effort and cost. The result is a faster, cheaper, and more deterministic retrieval layer that shifts intelligence to whichever agent consumes it.
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