# PROMPT-TOOL 🤖

## Overview
Prompt-tool is a Python-based utility designed to enhance and structure prompts for Large Language Models (LLMs) and AI agents, especially for coding and developer productivity tasks. It provides a Gradio web interface and an MCP server endpoint for generating context-aware, high-quality prompts, optionally leveraging available tools in the host environment.

## Features
- **Prompt Engineering**: Generates detailed, structured prompts for LLMs, focusing on coding tasks.
- **Tool Awareness**: Can incorporate available tools (e.g., Playwright) into prompt instructions.
- **Multiple Models**: Supports different LLM models (gpt-4.1-nano, gpt-4.1-mini) for basic and advanced prompt generation.
- **Web Interface**: Gradio-based UI for interactive prompt generation.
- **MCP Server Integration**: Exposes prompt-tool as an MCP tool for programmatic access.
- **Customizable Instructions**: Uses a configurable prompt template (see `prompts/coding.txt`).

## Installation
1. Clone the repository and navigate to the `work/prompt-tool` directory.
2. Install dependencies:
   ```bash
   pip install -r requirements.txt
   ```
3. Create a `.env` file with your OpenAI API key:
   ```env
   OPENAI_API_KEY=your_openai_api_key_here
   ```

## Usage
### Gradio Web Interface
Run:
```bash
python mcp_gradio.py
```
- Enter your prompt, select the model (A: advanced, B: basic, N: no tooling), and specify available tools (comma-separated).
- Click "Generate" to receive an enhanced prompt.

> **Note:** When running the Gradio interface, an MCP server is also created and exposed automatically.

### MCP Server
Run:
```bash
python mcp_server.py
```
This exposes the prompt-tool as an MCP tool endpoint for integration with other MCP-compatible systems.

### Programmatic Usage
You can import and use the core functions in your own Python scripts:
```python
from generator import prompt_tool
result = prompt_tool("Your prompt here", tool="A", tools="playwright"
```

## Architecture
- **generator.py**: Core logic for prompt generation, model selection, and OpenAI API interaction.
- **mcp_gradio.py**: Gradio web interface for interactive use.
- **mcp_server.py**: MCP server exposing the prompt-tool as an endpoint.
- **prompts/coding.txt**: Template and guidelines for prompt generation.
- **requirements.txt**: Python dependencies.

## Prompt Template
The prompt-tool uses a template (`prompts/coding.txt`) that enforces best practices in prompt engineering, such as specificity, structured frameworks, tool specification, output format, and constraints.

This allows the user to use prompt-tool for whatever they want—this means that the tool can be tailored for tasks other than coding just by changing the template and a couple of lines of code.

## Cursor integration

In order to use prompt-tool in Cursor, you need to add the following to your `.cursor/mcp.json` file:

```json
    {
    "mcpServers": {
        "prompt-tool": {
        "url": "your_mcp_server_url"
        }
    }
    }
```

## Development & Contribution
- Exclude `.env`, `venv/`, and `__pycache__/` from version control (see `.gitignore`).
- To contribute, fork the repository, create a feature branch, and submit a pull request.
- Please ensure code is well-documented and tested.

## License
MIT License

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*This documentation will be updated to include images and diagrams in the future.*