Overview

The ConsoleSpy MCP Server captures browser console logs and makes them available to AI models through the Model Context Protocol (MCP). This allows for real-time debugging, error monitoring, and in-depth application analysis directly within AI-assisted development environments.

Created by:

Developed by mgsrevolver

Key Features

👁️

Real-time Log Capture

Captures browser console logs in real-time for immediate analysis.

🐛

Enhanced Debugging

Provides AI models with direct access to application runtime information for debugging.

📊

Application Analysis

Enables AI to analyze application behavior and identify potential issues.

🔌

Seamless Integration

Integrates with Cursor IDE through the Model Context Protocol.

Available Tools

Quick Reference

Tool	Purpose	Category
`get_logs`	Retrieve captured console logs	Read
`clear_logs`	Clear all captured console logs	Write

Detailed Usage

get_logs▶

Retrieve all captured console logs from the ConsoleSpy server.

use_mcp_tool({
  server_name: "consolespy",
  tool_name: "get_logs",
  arguments: {}
});

Returns an array of log entries.

clear_logs▶

Clear all captured console logs from the ConsoleSpy server.

use_mcp_tool({
  server_name: "consolespy",
  tool_name: "clear_logs",
  arguments: {}
});

Returns a confirmation message.

Installation

{
  "mcpServers": {
    "consolespy": {
      "command": "npx",
      "args": [
        "-y",
        "supergateway",
        "--port",
        "8766",
        "--stdio",
        "node",
        "console-spy-mcp.js"
      ],
      "env": {
        "CONSOLE_SERVER_URL": "http://localhost:3333/mcp"
      }
    }
  }
}

Sources

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ClickUp MCP Server

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Sentry MCP Server

Sentry MCP servers enable AI models to interact with Sentry's error monitoring and performance tracking platform, providing capabilities for analyzing errors, tracking performance, and assisting in debugging applications.

ConsoleSpy MCP Server