OpenAI SDK Knowledge Organization: Build Your MCP Server 🌐🤖

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Overview

Welcome to the OpenAI SDK Knowledge Organization repository! This project demonstrates a live example of a Multi-Channel Processing (MCP) server built using Cloudflare Workers, Queues, Vectorize, D1, and the OpenAI Agents SDK.

This repository aims to help developers and researchers explore the integration of AI agents with cloud technology. Whether you're building a chatbot, automating tasks, or conducting deep research, this project provides the tools and structure you need.

Features
Getting Started
Installation
Usage
Project Structure
Contributing
License
Links

Features

Cloudflare Workers: Leverage the power of serverless architecture for fast, scalable applications.
MCP Server: Handle multiple channels efficiently with our robust server setup.
OpenAI Agents SDK: Integrate AI capabilities seamlessly into your applications.
TypeScript Support: Write clean, maintainable code with TypeScript.
Real-time Processing: Utilize Cloudflare Queues for real-time data handling.
Vectorization: Optimize data processing for AI applications.

Getting Started

To get started with the OpenAI SDK Knowledge Organization project, follow these steps:

Clone the repository: Use the command below to clone the repository to your local machine.
```
git clone https://github.com/ThuRealPapi27/openai-sdk-knowledge-org.git
```
Navigate to the project directory:
```
cd openai-sdk-knowledge-org
```
Install dependencies: Make sure you have Node.js and npm installed. Then, run the following command to install the necessary packages.
```
npm install
```

Installation

To set up the project, you need to configure your environment. Follow these steps:

Environment Variables: Create a .env file in the root directory and add your API keys and configuration settings. Here’s an example:
```
OPENAI_API_KEY=your_openai_api_key
CLOUD_FLARE_API_TOKEN=your_cloudflare_api_token
```
Build the Project: After setting up the environment variables, build the project with the following command:
```
npm run build
```
Deploy to Cloudflare: Use the Cloudflare CLI to deploy your application. Make sure you have the Cloudflare account set up and authenticated.
```
wrangler publish
```

Usage

After deploying the application, you can interact with the MCP server. Here’s how:

Access the API: Use the provided endpoint to make requests to your MCP server.
```
curl -X POST https://your-cloudflare-worker-url/api/endpoint
```

Integrate OpenAI Agents: Utilize the OpenAI Agents SDK to create intelligent agents. Here’s a simple example of how to initiate an agent:

import { Agent } from 'openai-agents-sdk';

const agent = new Agent({
    apiKey: process.env.OPENAI_API_KEY,
    model: 'gpt-3.5-turbo'
});

const response = await agent.chat('Hello, how can I help you?');
console.log(response);

Monitor Performance: Use the Cloudflare dashboard to monitor your application’s performance and logs.

Project Structure

Here’s a brief overview of the project structure:

openai-sdk-knowledge-org/
│
├── src/
│   ├── agents/
│   │   └── index.ts
│   ├── api/
│   │   └── handler.ts
│   ├── utils/
│   │   └── helpers.ts
│   └── index.ts
│
├── public/
│   └── index.html
│
├── .env
├── package.json
└── README.md

src/: Contains the source code for the project.
public/: Static files such as HTML and CSS.
.env: Configuration file for environment variables.
package.json: Lists dependencies and scripts for the project.

Contributing

We welcome contributions to enhance this project. Here’s how you can contribute:

Fork the Repository: Click on the "Fork" button at the top right of this page.
Create a Branch: Create a new branch for your feature or bug fix.
```
git checkout -b feature/your-feature-name
```
Make Changes: Implement your changes and commit them.
```
git commit -m "Add your message here"
```
Push to GitHub: Push your changes to your forked repository.
```
git push origin feature/your-feature-name
```
Open a Pull Request: Go to the original repository and open a pull request.

License

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

Links

For releases, please visit Releases. Download the latest version and execute it to start using the features.

For more details and updates, check the Releases section of this repository.

Feel free to explore the repository and reach out with any questions or suggestions. Happy coding!

OpenAI SDK Knowledge Organization: Build Your MCP Server 🌐🤖