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AI/MLOfficial MCP Server
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OpenAI MCP Server

Official OpenAI MCP server for GPT models integration with advanced context management and multi-model support.

OpenAIProvider
AI/MLCategory
MIT LicenseLicense

Key Features

Enterprise Security

Secure API interactions

One Command Setup

Simple installation

Universal Compatible

Works with any MCP client

About Model Context Protocol (MCP)

The Model Context Protocol (MCP) is an open standard that enables AI assistants to securely access external tools and data sources. It provides a standardized way for AI models to interact with various services while maintaining security and control.

MCP servers act as bridges between AI assistants and external APIs, databases, or services. They handle authentication, data formatting, and provide a consistent interface for AI models to access external functionality.

Key Benefits:

  • Secure and controlled access to external tools
  • Standardized interface across different AI assistants
  • No need to share API keys with AI providers
  • Local execution for sensitive operations

About OpenAI MCP Server

Official OpenAI MCP server for GPT models integration with advanced context management and multi-model support. This MCP server provides seamless integration with AI-powered code editors, allowing AI assistants to interact with OpenAI MCP Server through the Model Context Protocol.

Key Features

Secure Integration

Controlled and secure API interactions

Easy Setup

Simple configuration and installation

Standard Protocol

Built on Model Context Protocol

Universal Support

Works with any MCP-compatible editor

Installation & Configuration

1
Add to your MCP configuration

Add the following configuration to your MCP settings file (usually mcp-config.json):

mcp-config.json
{
  "mcpServers": {
    "openai": {
      "command": "npx",
      "args": [
        "@openai/mcp-server"
      ],
      "env": {
        "OPENAI_API_KEY": "<your-api-key>",
        "OPENAI_ORG_ID": "<your-org-id>"
      }
    }
  }
}

2
Restart your AI editor

After adding the configuration, restart your AI-powered code editor to load the new MCP server.

Verification

Once installed, you can verify the server is running by checking your editor's MCP status or by asking your AI assistant to use the OpenAI MCP Server functionality.

Usage Examples

Once installed, you can interact with OpenAI MCP Server through your AI assistant. Here are some example prompts:

Example prompts:

  • "Help me search for information about..."
  • "Can you access my openai mcp server and retrieve the data?"
  • "Please check the current status in OpenAI MCP Server."
Best MCP Tools Directory | Model Context Protocol Integrations for AI Coding