# Code2Prompt

> Transform your codebase into AI-optimized prompts using the Goal + Format + Context framework for better LLM interactions.

Code2Prompt is a context engineering tool that ingests your codebase and transforms it into structured, AI-ready prompts. Built in Rust for high performance, it enables developers to convert any repository into meaningful context following the Goal + Format + Context framework, making it easier to get accurate, context-aware responses from AI models.

**Key Features:**

- **High-Performance Rust Engine** - Written in Rust for speed and efficiency, capable of handling large codebases with minimal resource usage while maintaining fast processing times.

- **Handlebars-Powered Templates** - Offers customizable prompt generation using Handlebars templates, giving developers full control over the output format and structure of generated prompts.

- **Smart Filtering with Glob Patterns** - Supports include/exclude patterns with glob matching for precise code selection, allowing you to query LLMs without extra noise and reduce hallucination.

- **Multi-Format Export** - Exports structured prompts in JSON, Markdown, or XML with different formatting options to suit various workflows and AI model requirements.

- **Git Integration** - Includes Git diff and log extraction for better context, making it easier to understand code changes over time and provide relevant history to AI models.

- **Multiple Interfaces** - Available as a CLI tool for terminal usage, a Python SDK for programmatic integration, and an MCP (Model Context Protocol) server for AI agent workflows.

- **LLM Compatibility** - Works with all major AI models including Claude, GPT, Gemini, Mistral, DeepSeek, Qwen, Grok, and local models via Ollama.

**Getting Started:**

To use Code2Prompt, install it via the CLI and run a simple command like `code2prompt .` in your project directory. Use flags like `--include "*.js,*.html"` and `--exclude "node_modules/"` to filter relevant files. The tool generates a structured prompt containing your project tree and file contents, ready to paste into any AI assistant. For Python applications, install the `code2prompt-rs` package from PyPI. For AI agents, integrate the MCP server to provide rich codebase context automatically.

## Features
- Codebase to AI prompt transformation
- Goal + Format + Context framework
- Handlebars template customization
- Glob pattern filtering (include/exclude)
- Multi-format export (JSON, Markdown, XML)
- Git diff and log extraction
- Source tree visualization
- CLI interface
- Python SDK integration
- MCP server for AI agents
- High-performance Rust engine

## Integrations
Claude, GPT/OpenAI, Gemini, Mistral, DeepSeek, Qwen, Grok, Ollama, Git

## Platforms
WINDOWS, MACOS, LINUX, API, DEVELOPER_SDK

## Pricing
Open Source

## Links
- Website: https://code2prompt.dev
- Documentation: https://code2prompt.dev/docs/welcome
- Repository: https://github.com/mufeedvh/code2prompt
- EveryDev.ai: https://www.everydev.ai/tools/code2prompt