Mnemom — Trust Ratings for AI Agents vs Image Reader MCP

In-depth architectural comparison of the Mnemom — Trust Ratings for AI Agents and Image Reader 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?

M

Choose Mnemom — Trust Ratings for AI Agents 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 Mnemom — Trust Ratings for AI Agents Details

Choose Image Reader 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).
• Primary tools included: read_image.

Explore Image Reader MCP Details

Feature & Specification Comparison

Specification	M Mnemom — Trust Ratings for AI Agents Developer Tools	Image Reader MCP Developer Tools
Summary	Trust infrastructure for AI agents: read a verifiable Trust Rating, claim an identity, earn a badge.	Evidence-first image MCP. Agent Media Twin with metadata and citeable OCR evidence.
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": {
    "mnemom-trust-ratings-for-ai-agents": {
      "command": "npx",
      "args": [
        "-y",
        "mnemom-trust-ratings-for-ai-agents"
      ]
    }
  }
}

{
  "mcpServers": {
    "image-reader-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@sylphx/iris"
      ]
    }
  }
}

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