navabbx23/deep-code-reasoning-mcp

Deep Code Reasoning MCP 🚀

Welcome to the Deep Code Reasoning MCP repository! This project hosts a Model Context Protocol (MCP) server that leverages the power of Google's Gemini AI to deliver advanced code analysis and reasoning capabilities. Whether you are a developer looking to enhance your debugging skills or a researcher interested in code intelligence, this repository has something for you.

Table of Contents

• Introduction
• Features
• Technologies Used
• Installation
• Usage
• Contributing
• License
• Contact
• Releases

Introduction

In today's fast-paced development environment, understanding code deeply is crucial. The Deep Code Reasoning MCP provides a robust server that enables users to analyze and reason about code efficiently. By utilizing Google's Gemini AI, we offer enhanced capabilities in semantic analysis, hypothesis testing, and performance analysis.

Features

• Advanced Code Analysis: Analyze code with state-of-the-art AI algorithms.
• Reasoning Capabilities: Understand the logic behind code structures and flows.
• Debugging Tools: Identify and fix bugs faster with intelligent insights.
• Multi-Model Support: Work with various models seamlessly.
• Distributed Systems: Operate in a distributed environment for scalability.
• Performance Insights: Get detailed reports on code performance.
• Semantic Analysis: Gain a deeper understanding of code semantics.

Technologies Used

• Node.js: For building the server.
• TypeScript: For strong typing and better maintainability.
• Google's Gemini AI: For advanced reasoning and analysis.
• Model Context Protocol (MCP): To ensure efficient communication between models.
• Distributed Systems: For handling large-scale code analysis tasks.

Installation

To get started with the Deep Code Reasoning MCP, follow these steps:

1. Clone the repository:

   git clone https://github.com/navabbx23/deep-code-reasoning-mcp.git
   

2. Navigate to the project directory:

   cd deep-code-reasoning-mcp
   

3. Install the required dependencies:

   npm install
   

4. Start the server:

   npm start
   

5. Access the server at http://localhost:3000.

Usage

Once the server is running, you can interact with it through a simple API. Here’s how to use the main features:

Code Analysis

To analyze code, send a POST request to the /analyze endpoint with the code snippet in the body.

Example:

{
  "code": "function hello() { console.log('Hello, World!'); }"
}

Debugging

Use the /debug endpoint to get insights on potential issues in your code.

Performance Analysis

Send a request to the /performance endpoint to receive a performance report of your code.

Contributing

We welcome contributions to improve the Deep Code Reasoning MCP. To contribute:

1. Fork the repository.
2. Create a new branch for your feature or bug fix.
3. Make your changes and commit them.
4. Push to your fork and submit a pull request.

License

This project is licensed under the MIT License. See the file for details.

Contact

For questions or feedback, please reach out to the maintainer:

• Name: Nav Abb
• Email:

Releases

For the latest updates and versions, visit our Releases section. Here, you can download the latest files and execute them to get started.

Feel free to check back regularly for new features and improvements!

Thank you for your interest in the Deep Code Reasoning MCP! We hope this tool helps you unlock new levels of understanding in your coding journey.