LLM Context is a tool that reduces friction in providing project context to LLMs by smartly selecting files and filtering via rules, with MCP integration to allow AI access to additional files during conversations. It supports a five-category rule system: Prompt Rules (prm-), Filter Rules (flt-), Instruction Rules (ins-), Style Rules (sty-), Excerpt Rules (exc-). Users can define project-specific rules and filters to include only relevant content, while retaining the ability to pull full files or excerpts as needed. With MCP integration, the LLM can request more files on demand, without manual file transfers. The MCP configuration example shows how to register a server under mcpServers with a command and arguments, enabling seamless file access. The system offers: smart file selection; instant context generation; automatic copying to clipboard; change tracking; and AI-assisted rule creation via Claude Skill or instruction-driven workflows. This fosters efficient collaboration, better code reviews, and faster problem resolution by ensuring the AI sees the right data with minimal friction.