"author:munhq" matching MCP servers:

Enables an LLM agent to measure where a session's tokens actually go and whether rewriting history pays for the prompt-cache prefix it invalidates, so it can pick clearing thresholds or decline to compress. Exposes the token-cost accounting and cache-preserving optimization layers over MCP.

Enables AI coding agents to query code structure efficiently through 16 MCP tools, including symbol lookup, full-text search, dependency analysis, and refactor planning, powered by tree-sitter parsing and index-backed code intelligence.