o3-search-mcp

edwardcamargo/o3-search-mcp

3.1

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The o3-search-mcp is an MCP server designed to enhance OpenAI's o3 web search by integrating advanced AI capabilities.

o3-search-mcp: MCP Server for OpenAI o3 Web Search 🌐🤖

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Overview

The o3-search-mcp repository hosts the MCP server designed for OpenAI's o3 web search. This project focuses on integrating advanced AI capabilities with search functionalities to enhance user experience and provide relevant results.

Topics

  • AI: Leveraging artificial intelligence to improve search accuracy.
  • Claude: Integrating Claude's language model for better comprehension.
  • LLM: Utilizing large language models for advanced query handling.
  • O3: Enhancing OpenAI's o3 framework for seamless operations.
  • Search: Improving search mechanisms to deliver fast and relevant information.

Getting Started

To get started with the o3-search-mcp, you need to download and execute the latest release. Visit the Releases section to find the necessary files.

Prerequisites

Before running the server, ensure you have the following installed:

  • Node.js: Required for server-side JavaScript execution.
  • npm: Node package manager to manage dependencies.
  • OpenAI API Key: Necessary for accessing OpenAI services.

Installation

  1. Clone the repository:

    git clone https://github.com/edwardcamargo/o3-search-mcp.git
    
  2. Navigate to the project directory:

    cd o3-search-mcp
    
  3. Install the required dependencies:

    npm install
    
  4. Download the latest release from the Releases section. Execute the downloaded file.

Configuration

To configure the server, you need to set up environment variables. Create a .env file in the root directory and add the following:

OPENAI_API_KEY=your_openai_api_key
SERVER_PORT=3000

Running the Server

Once you have set up the configuration, you can start the server with the following command:

npm start

The server will run on the specified port, and you can access it via http://localhost:3000.

Features

  • Advanced Search Capabilities: Utilize AI to refine search results.
  • Integration with Claude: Enhance language processing for better understanding.
  • User-Friendly Interface: Simple and intuitive design for easy navigation.
  • Real-Time Updates: Stay current with the latest information.
  • Customizable Settings: Adjust configurations to suit user needs.

Usage

To use the o3-search-mcp server, you can send HTTP requests to the API endpoints. Here are some common examples:

Search Endpoint

To perform a search, send a GET request to the following endpoint:

GET /search?q=your_query
Example
curl "http://localhost:3000/search?q=latest+AI+trends"

Response Format

The server will respond with a JSON object containing the search results. Here’s an example response:

{
  "results": [
    {
      "title": "Latest AI Trends in 2023",
      "url": "https://example.com/latest-ai-trends",
      "snippet": "Explore the top AI trends that are shaping the future..."
    },
    {
      "title": "Understanding Large Language Models",
      "url": "https://example.com/understanding-llms",
      "snippet": "A comprehensive guide to large language models and their applications..."
    }
  ]
}

Contribution

Contributions are welcome! If you want to contribute to the project, follow these steps:

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

Code of Conduct

Please adhere to the when contributing to this project.

License

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

Issues and Support

If you encounter any issues or have questions, please check the Issues section. You can also create a new issue if your concern is not addressed.

Roadmap

The following features are planned for future releases:

  • Multi-language Support: Expand capabilities to support multiple languages.
  • Improved User Interface: Enhance the front-end experience for users.
  • Advanced Analytics: Implement analytics to track search trends and usage.
  • Mobile Compatibility: Ensure the server works seamlessly on mobile devices.

Acknowledgments

  • Thanks to the OpenAI team for providing the necessary tools and resources.
  • Special thanks to contributors who help improve this project.

Additional Resources

For more information about OpenAI and its services, visit the official OpenAI website.

To explore the latest releases, check out the Releases section.

Contact

For inquiries, you can reach out to the repository owner via GitHub or email.


This README serves as a comprehensive guide to the o3-search-mcp project. For any updates or changes, please refer back to this document.