RFC AI Tooling: 40x fewer tokens while reading the RFC corpus

A skill and an MCP server share a stdlib-only Python core that finds, reads and flags IETF RFCs on demand, marking superseded documents on every result and allowing section-level reads instead of whole documents. The project reports a median 41x token saving from reading single sections, and offers optional full-text search over ~9,800 RFCs via a downloaded SQLite/FTS5 section index. It replaces the unmaintained mcp-server-ietf and can be self-hosted over HTTP for cloud sessions.