extract-llms-docs vs mcp-local-rag
extract-llms-docs: llm.energy is a web application and MCP server designed to fetch, parse, and organize documentation from websites following llms.txt and install.md standards. It transforms this raw documentation into structured, agent-ready formats for AI assistants, LLMs, and developer tooling.; mcp-local-rag: MCP Local RAG provides a fully private, zero-setup Retrieval Augmented Generation (RAG) system for developers, enabling semantic search with keyword boosting on local documents. It integrates seamlessly with AI coding tools via MCP or offers direct command-line access, ensuring data privacy and offline functionality.
TL;DR
Feed documentation directly to AI coding assistants for enhanced context.
Searching internal technical specifications, research papers, or documentation privately
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