"author:Scholz22" matching MCP servers:

Enables analysis of documents far larger than an LLM's context window by having the model emit constrained symbolic S-expression commands that are parsed and executed server-side. Results and stashed context are kept as compact in-memory handles so large datasets can be queried, filtered, aggregated, and expanded with minimal token cost.