Coinrithm Agent Trading vs Tradememory Protocol

In-depth architectural comparison of the Coinrithm Agent Trading and Tradememory Protocol 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 Coinrithm Agent Trading when:

• You need dedicated capabilities in the Finance & Fintech domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: API Key required (Free / Open Source).
• You have access to required keys: COINRITHM_API_KEY.
• Primary tools included: Paper trading for crypto spot, futures, and prediction markets, Scoped CoinRithm API-key authentication, Idempotent order writes with retry support.

Explore Coinrithm Agent Trading Details

Choose Tradememory Protocol when:

• You need dedicated capabilities in the Finance & Fintech domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: No auth required (Free / Open Source).
• Primary tools included: .

Feature & Specification Comparison

Specification	Coinrithm Agent Trading CoinRithm Finance & Fintech	Tradememory Protocol mnemox-ai Finance & Fintech
Summary	Paper-trade crypto spot, futures & prediction markets on CoinRithm with a user-minted API key (simulated funds, 21 tools, public Agent Arena).	Glama 🐍 🏠 - Structured 3-layer memory system (trades → patterns → strategy) for AI trading agents. Supports MT5, Binance, and Alpaca.
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": {
    "coinrithm-coinrithm-agent-trading": {
      "command": "npx",
      "args": [
        "-y",
        "@coinrithm/mcp-trading"
      ],
      "env": {
        "COINRITHM_API_KEY": "YOUR_COINRITHM_API_KEY_HERE"
      }
    }
  }
}

{
  "mcpServers": {
    "mnemox-ai-tradememory-protocol": {
      "command": "uvx",
      "args": [
        "tradememory-protocol"
      ]
    }
  }
}

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