Agent Feedback Loop

v1.0.0Knowledge & Memorystable

Enables agents to report and query performance metrics to build a community-driven quality database for MCP tools. This server helps agents discover and select the most reliable tools based on success rates and user-reported quality scores.

agent-feedback-loopmcpai-integration
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What is Agent Feedback Loop?

Agent Feedback Loop is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to enables agents to report and query performance metrics to build a community-driven quality database for mcp tools. this server helps agents discover and select the most reliable tools based on success...

Enables agents to report and query performance metrics to build a community-driven quality database for MCP tools. This server helps agents discover and select the most reliable tools based on success rates and user-reported quality scores.

This server falls under the Knowledge & Memory and Coding Agents categories on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • Enables agents to report and query performance metrics to bu

Use Cases

Build community-driven quality database for MCP tools.
Discover reliable tools based on success rates and user scores.
AiAgentKarl

Maintainer

LicenseMIT License
Languagetypescript
Versionv1.0.0
UpdatedN/A
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx agent-feedback-loop

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about Agent Feedback Loop

What is Agent Feedback Loop?

Agent Feedback Loop is a Model Context Protocol (MCP) server that enables agents to report and query performance metrics to build a community-driven quality database for mcp tools. this server helps agents discover and select the most reliable tools based on success rates and user-reported quality scores. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Agent Feedback Loop?

Follow the installation instructions on the Agent Feedback Loop GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with Agent Feedback Loop?

Agent Feedback Loop works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Agent Feedback Loop free to use?

Yes, Agent Feedback Loop is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.

Browse More Knowledge & Memory MCP Servers

Explore all knowledge & memory servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "agent-feedback-loop": { "command": "npx", "args": ["-y", "agent-feedback-loop"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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