ctx: The missing link between your codebase and your LLM. Context as Code (CaC) tool with MCP server inside.

What is ctx?

ctx is a Context as Code (CaC) tool designed to bridge the gap between your codebase and large language models (LLMs) like ChatGPT and Claude by providing them with the necessary context about your project.

How to use ctx?

To use ctx, install the tool via a simple command, initialize a configuration file, describe your project structure, and then generate context files that can be shared with LLMs for better assistance.

Key features of ctx?

• Automatically builds organized context files from various sources including code files, GitHub repositories, and web pages.
• Supports seamless integration with AI models through a built-in MCP server.
• Facilitates documentation generation and code refactoring assistance.

Use cases of ctx?

1. Providing context for AI-assisted code refactoring.
2. Generating comprehensive documentation from codebases.
3. Enabling real-time AI assistance by connecting directly to LLMs.

FAQ from ctx?

• Can ctx work with any programming language?

While ctx is primarily designed for PHP, it can be adapted for other languages by modifying the configuration.

• Is ctx free to use?

Yes! ctx is open-source and free to use.

• How does ctx improve AI interactions?

By providing structured context, ctx allows LLMs to give more accurate and relevant responses based on your specific codebase.