AI Consensus vs AI Consensus

In-depth architectural comparison of the AI Consensus and AI Consensus 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?

A

Choose AI Consensus 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 AI Consensus Details

Choose AI Consensus 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: consult_ai_consensus, check_ai_consensus_connection, cancel_ai_consensus_run.

Explore AI Consensus Details

Feature & Specification Comparison

Specification	A AI Consensus Developer Tools	AI Consensus Developer Tools
Summary	Standing review layer for coding agents: Claude, GPT and Gemini debate, return consensus + dissent.	Standing review layer for coding agents: Claude, GPT and Gemini debate, return consensus + dissent.
Category & Scope	Developer Tools	Developer Tools
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-consensus": {
      "command": "npx",
      "args": [
        "-y",
        "ai-consensus"
      ]
    }
  }
}

{
  "mcpServers": {
    "ai-consensus-2": {
      "command": "npx",
      "args": [
        "-y",
        "ai-consensus-connector"
      ]
    }
  }
}

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