What does Cursor MCP Monitor do?
It monitors MCP interactions in the Cursor AI editor by parsing log files in real time, displaying client creation, connection events, error warnings, and more.
@willibrandon
Basic information
Real-time monitoring tool for Model Context Protocol (MCP) interactions in Cursor AI editor. Track, analyze, and debug AI context exchanges between LLM clients and servers. Supports log rotation, pattern matching, and color-coded event visualization.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"CursorMCPMonitor": {
"command": "docker",
"args": [
"build",
"-t",
"cursor-mcp-monitor",
"-f",
"src/CursorMCPMonitor/Dockerfile",
"."
]
}
}
}Tool list not available yet
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Cursor MCP Monitor is a .NET console application that monitors Model Context Protocol (MCP) interactions in the Cursor AI editor. It helps developers debug and analyze MCP server-client communications by monitoring log files in real-time.
Install globally via .NET CLI: dotnet tool install --global CursorMCPMonitor. Run with cursor-mcp --help. Override settings via command-line options (e.g., --logs-root, --poll-interval, --verbosity) or environment variables. Docker support is also available with volume mapping for logs.
http://localhost:5050 with live event streamingIt monitors MCP interactions in the Cursor AI editor by parsing log files in real time, displaying client creation, connection events, error warnings, and more.
Install using the .NET CLI: `dotnet tool install --global CursorMCPMonitor`. The tool can also be installed from GitHub Packages by adding the appropriate NuGet source.
It supports Windows, macOS, and Linux. Log directory defaults vary per platform (e.g., `%AppData%/Cursor/logs` on Windows).
You can set `LogsRoot`, `PollIntervalMs`, `LogPattern`, `Verbosity`, and `Filter` in `appsettings.json` or via environment variables. The web dashboard runs on port 5050.
Yes, .NET 9.0 SDK or later is required to build and run the application.
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