LLM Code Context
Streamlines code context sharing with LLMs by implementing smart file selection, code outlining, and multi-language support for ef
This LLM Context MCP server, developed by restlessronin, streamlines the process of sharing code context with Large Language Models. Built with Python using the Model Context Protocol SDK, it offers features like profile-based customization, code outlining, and integration with both MCP and clipboard for easy switching between tasks such as code review and documentation. The server implements smart file selection using .gitignore patterns and supports multiple programming languages. By abstracting the complexities of context generation, it enables AI systems to easily analyze and work with codebases. This implementation is particularly valuable for developers and teams requiring efficient code-related interactions with LLMs, facilitating use cases such as code reviews, documentation generation, and codebase analysis across various programming languages and project structures.
Source
Repository: https://github.com/cyberchitta/llm-context.py
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