AI Memory vs Tradingview MCP

In-depth architectural comparison of the AI Memory and Tradingview MCP 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 AI Memory 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: memory_store, memory_recall, memory_search.

Explore AI Memory Details

Choose Tradingview MCP when:

• You need dedicated capabilities in the Finance & Fintech domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: No auth required (Freemium).
• Primary tools included: 37 market data and analysis tools, Technical indicators and combined analysis, Multi-exchange market screeners.

Explore Tradingview MCP Details

Feature & Specification Comparison

Specification	AI Memory Finance & Fintech	Tradingview MCP Finance & Fintech
Summary	Persistent memory for any AI — zero token cost until recall	Real-time market data, screeners, technical analysis & backtesting for stocks, crypto and forex.
Category & Scope	Finance & Fintech	Finance & Fintech
Quality signal

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": {
    "ai-memory": {
      "command": "uvx",
      "args": [
        "ai-memory-mcp"
      ]
    }
  }
}

{
  "mcpServers": {
    "tradingview-mcp": {
      "command": "uvx",
      "args": [
        "tradingview-mcp-server"
      ]
    }
  }
}

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