llm-context.py

The llm-context.py server enables you to share code with Large Language Models (LLMs) using the Model Context Protocol or a clipboard. This server's rule-based customization allows for seamless switching between tasks like code review and documentation, enhancing your coding workflow. With its smart code outlining feature, you can ensure that your code is both organized and easily interpretable by LLMs, making it an invaluable tool for developers seeking efficiency and clarity.

Once connected to the llm-context.py server, you interact with it through your preferred programming environment. You can send commands to initiate tasks such as code reviews or documentation generation by simply specifying the desired operation in your query. For best results, provide clear context and structure in your commands, allowing the server to apply its rule-based customization effectively.

Prerequisites

To install and run llm-context.py, ensure you have Python 3.6 or higher installed on your machine.

Option A: Quick Start with npx

Currently, there is no NPM package available for llm-context.py. You can directly clone the repository from GitHub.

Option B: Global Install Alternative

To install the server globally, use the following commands:

git clone https://github.com/cyberchitta/llm-context.py.git
cd llm-context.py
pip install -r requirements.txt

When configuring llm-context.py, make sure to set any necessary environment variables that may be required for your specific tasks. It's important to review the documentation in the GitHub repository for common configuration gotchas, such as ensuring that your Python environment is properly set up to avoid dependency issues.