YIELD INTELLIGENCE — Passive Income MCP vs PraisonAI

In-depth architectural comparison of the YIELD INTELLIGENCE — Passive Income MCP and PraisonAI 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 YIELD INTELLIGENCE — Passive Income MCP when:

• You need dedicated capabilities in the Developer Tools domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: No auth required (Free / Open Source).

Explore YIELD INTELLIGENCE — Passive Income MCP Details

Choose PraisonAI when:

• You need dedicated capabilities in the Developer Tools domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: No auth required (Free / Open Source).

Explore PraisonAI Details

Feature & Specification Comparison

Specification	YIELD INTELLIGENCE — Passive Income MCP Developer Tools	PraisonAI Developer Tools
Summary	Passive income opportunity scanner. Yield analysis and portfolio optimization for AI agents.	AI Agents Framework with Self Reflection and MCP support
Category & Scope	Developer Tools	Developer Tools

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": {
    "yield-intelligence-passive-income-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "yield-intelligence-passive-income-mcp"
      ]
    }
  }
}

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

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