MCP Simple Openai Assistant vs Memory

In-depth architectural comparison of the MCP Simple Openai Assistant and Memory 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 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: create_assistant, list_assistants, retrieve_assistant.

Explore MCP Simple Openai Assistant Details

Choose Memory when:

• You need dedicated capabilities in the Other Tools and Integrations domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: No auth required (Free / Open Source).
• Primary tools included: create_entities, create_relations, add_observations.

Feature & Specification Comparison

Specification	MCP Simple Openai Assistant andybrandt Other Tools and Integrations	Memory VerifiedOther Tools and Integrations
Summary	MCP to talk to OpenAI assistants (Claude can use any GPT model as his assitant)	Knowledge graph-based persistent memory system.
Category & Scope

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

{
  "mcpServers": {
    "memory": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ]
    }
  }
}

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