Deploy to Agents vs Jadx AI MCP

In-depth architectural comparison of the Deploy to Agents and Jadx AI 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 Deploy to Agents when:

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

Explore Deploy to Agents Details

Choose Jadx AI MCP when:

• You need dedicated capabilities in the Security domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: No auth required (Free / Open Source).
• Primary tools included: Exposes selected JADX-GUI classes over MCP, Retrieves Java source and smali code, Lists project classes, methods, and fields.

Explore Jadx AI MCP Details

Feature & Specification Comparison

Specification	Deploy to Agents Security	Jadx AI MCP zinja-coder Security
Summary	Audit agent-distribution surfaces and create an evidence-based distribution plan.	JADX-AI-MCP is a plugin and MCP Server for the JADX decompiler that integrates directly with Model Context Protocol (MCP) to provide live reverse engineering support with LLMs like Claude.
Category & Scope	Security

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": {
    "deploy-to-agents": {
      "command": "npx",
      "args": [
        "-y",
        "deploytoagents"
      ]
    }
  }
}

{
  "mcpServers": {
    "zinja-coder-jadx-ai-mcp": {
      "command": "uvx",
      "args": [
        "httpx"
      ]
    }
  }
}

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