Llm Context
Injects relevant code and text context into Large Language Model chat interfaces.
About
LLM Context streamlines AI-assisted development by enabling developers to quickly share code snippets, text documents, and project context with Large Language Models (LLMs). It uses `.gitignore` patterns for intelligent file selection, supports both a clipboard-based workflow and direct integration via the Model Context Protocol (MCP) for tools like Claude Desktop. Profile-based customization allows users to easily switch between different tasks such as code review and documentation. Smart code outlining provides LLMs with a high-level structural overview of the codebase.
Key Features
- Smart file selection using .gitignore patterns
- Direct LLM integration via Model Context Protocol
- Smart code outlining for high-level code structure
- Profile-based customization for different tasks
- Clipboard workflow for use with any LLM chat interface
Use Cases
- Sharing code with LLMs for review and debugging
- Interacting with LLMs through Claude Desktop via MCP
- Providing project context to LLMs for documentation and code generation
Sponsored