MCP Openai vs MCP Simple Openai Assistant

In-depth architectural comparison of the MCP Openai and MCP Simple Openai Assistant MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.

Which MCP Server Should You Choose?

Choose MCP Openai when:

• You need dedicated capabilities in the Other Tools and Integrations domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: API Key required (BYOK (Pay Provider Direct)).
• You have access to required keys: OPENAI_API_KEY.
• Primary tools included: OpenAI chat completion access, Support for four documented models, Single message-passing MCP tool.

Explore MCP Openai Details

Choose MCP Simple Openai Assistant when:

• You need dedicated capabilities in the Other Tools and Integrations domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: API Key required (BYOK (Pay Provider Direct)).
• You have access to required keys: OPENAI_API_KEY.
• Primary tools included: .

Feature & Specification Comparison

Specification	MCP Openai mzxrai Other Tools and Integrations	MCP Simple Openai Assistant andybrandt Other Tools and Integrations
Summary	Chat with OpenAI models from Claude Desktop	MCP to talk to OpenAI assistants (Claude can use any GPT model as his assitant)
Category & Scope	Other Tools and Integrations

Tools & Capabilities Breakdown

Ready-to-Paste Client Configurations

Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).

{
  "mcpServers": {
    "mzxrai-mcp-openai": {
      "command": "npx",
      "args": [
        "-y",
        "@mzxrai/mcp-openai@latest"
      ],
      "env": {
        "OPENAI_API_KEY": "YOUR_OPENAI_API_KEY_HERE"
      }
    }
  }
}

{
  "mcpServers": {
    "andybrandt-mcp-simple-openai-assistant": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli"
      ],
      "env": {
        "OPENAI_API_KEY": "YOUR_OPENAI_API_KEY_HERE"
      }
    }
  }
}

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