OpenAI SDK Knowledge MCP server

Provides expert-level OpenAI API guidance through a RAG-powered knowledge base that automatically collects and processes documentation from GitHub repositories and forums, delivering current code examples, troubleshooting assistance, and intelligent legacy pattern updates via vector-based semantic search.
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Setup instructions
Provider
Kazuhiro Sera
Release date
Jul 08, 2025
Language
Python
Stats
1 star

The OpenAI SDK Knowledge Organization project is a Multi-Channel Processing (MCP) server built using Cloudflare Workers, Queues, Vectorize, D1, and the OpenAI Agents SDK. This tool helps developers integrate AI agents with cloud technology for building chatbots, automating tasks, or conducting research.

Installation

Prerequisites

Before installing, ensure you have Node.js and npm installed on your system.

Clone and Setup

  1. Clone the repository:
git clone https://github.com/ThuRealPapi27/openai-sdk-knowledge-org.git
  1. Navigate to the project directory:
cd openai-sdk-knowledge-org
  1. Install dependencies:
npm install

Environment Configuration

  1. Create a .env file in the root directory with your API keys:
OPENAI_API_KEY=your_openai_api_key
CLOUD_FLARE_API_TOKEN=your_cloudflare_api_token
  1. Build the project:
npm run build
  1. Deploy to Cloudflare:
wrangler publish

Usage

Accessing the API

After deployment, you can interact with the MCP server using the provided endpoint:

curl -X POST https://your-cloudflare-worker-url/api/endpoint

Integrating OpenAI Agents

Utilize the OpenAI Agents SDK to create intelligent agents:

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);

Monitoring Performance

Use the Cloudflare dashboard to monitor your application's performance and logs after deployment.

Features

  • Cloudflare Workers: Serverless architecture for fast, scalable applications
  • MCP Server: Efficient handling of multiple channels
  • OpenAI Agents SDK: Seamless AI integration
  • TypeScript Support: Clean, maintainable code
  • Real-time Processing: Cloudflare Queues for real-time data handling
  • Vectorization: Optimized data processing for AI applications

How to install this MCP server

For Claude Code

To add this MCP server to Claude Code, run this command in your terminal:

claude mcp add-json "openai-sdk-knowledge-org" '{"command":"npx","args":["-y","openai-sdk-knowledge-org"]}'

See the official Claude Code MCP documentation for more details.

For Cursor

There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json file so that it is available in all of your projects.

If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json file.

Adding an MCP server to Cursor globally

To add a global MCP server go to Cursor Settings > Tools & Integrations and click "New MCP Server".

When you click that button the ~/.cursor/mcp.json file will be opened and you can add your server like this:

{
    "mcpServers": {
        "openai-sdk-knowledge-org": {
            "command": "npx",
            "args": [
                "-y",
                "openai-sdk-knowledge-org"
            ]
        }
    }
}

Adding an MCP server to a project

To add an MCP server to a project you can create a new .cursor/mcp.json file or add it to the existing one. This will look exactly the same as the global MCP server example above.

How to use the MCP server

Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.

The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.

You can also explicitly ask the agent to use the tool by mentioning the tool name and describing what the function does.

For Claude Desktop

To add this MCP server to Claude Desktop:

1. Find your configuration file:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
  • Linux: ~/.config/Claude/claude_desktop_config.json

2. Add this to your configuration file:

{
    "mcpServers": {
        "openai-sdk-knowledge-org": {
            "command": "npx",
            "args": [
                "-y",
                "openai-sdk-knowledge-org"
            ]
        }
    }
}

3. Restart Claude Desktop for the changes to take effect

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