Agent Feedback Loop

Verified Integration

Author: @providing•Category: ServerApplication

GitHub Repository

JSON-RPC 2.0

Protocol Standard

Sub-second

Execution Latency

Active

Operational Status

Client Configuration

— Connect Agent Feedback Loop to Claude Desktop or Cursor in seconds

{
  "mcpServers": {
    "agent-feedback-loop": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-agent-feedback-loop"
      ],
      "env": {}
    }
  }
}

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows).

Architecture & Capabilities

System Overview

Establishes a community-driven database for tool quality, enabling AI agents to make more informed decisions when selecting and using tools.

Indexed Date

7/21/2026

License

Open Source

Protocol Layer

stdio / SSE RPC

Frequently Asked Questions

Architecture and operational details for Agent Feedback Loop

By providing access to real-world success/failure rates and quality scores reported by other agents, it helps AI agents choose more reliable and effective tools. This reduces trial-and-error, minimizes errors, and ultimately improves overall task outcomes and efficiency.

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