"author:MikhailSharma" matching MCP servers:

Enables an LLM to analyze documents far larger than its context window by emitting constrained symbolic S-expression commands that are validated and executed server-side, avoiding vector databases and chunking heuristics. Large intermediate results are kept as in-memory handles so the model carries compact stubs instead of full text, and recursive sub-queries let it reason over structured portions of a document.