Cursor MCP Monitor
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.
What is Cursor MCP Monitor?
What is Cursor MCP Monitor? Cursor MCP Monitor is a real-time monitoring tool designed for tracking Model Context Protocol (MCP) interactions within the Cursor AI editor. It enables developers to analyze and debug AI context exchanges between LLM clients and servers. How to use Cursor MCP Monitor? To use the tool, install it globally via the .NET CLI and run it from the command line. You can monitor log files in real-time and access an interactive web-based dashboard for analysis. Key features of Cursor MCP Monitor? Real-time monitoring of MCP client-server interactions. Color-coded event visualization for easy identification of message types. Supports log rotation and file truncation. Cross-platform compatibility (Windows, macOS, Linux). Interactive dashboard for monitoring and analysis. Command-line interface for customization and configuration. Use cases of Cursor MCP Monitor? Debugging MCP server implementations by monitoring client-server interactions. Analyzing protocol messages and error patterns. Tracking client lifecycle and connection states. Monitoring server capabilities and offerings. Verifying correct protocol implementation. FAQ from Cursor MCP Monitor? Can I run Cursor MCP Monitor on different operating systems? Yes! It supports Windows, macOS, and Linux. How do I install Cursor MCP Monitor? You can install it using the .NET CLI with the command: dotnet tool install --global CursorMCPMonitor. Is there a web interface for monitoring? Yes! The application includes a web-based dashboard accessible at http://localhost:5050.
As an MCP (Model Context Protocol) server, Cursor MCP Monitor enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.
How to use Cursor MCP Monitor
To use the tool, install it globally via the .NET CLI and run it from the command line. You can monitor log files in real-time and access an interactive web-based dashboard for analysis. Key features of Cursor MCP Monitor? Real-time monitoring of MCP client-server interactions. Color-coded event visualization for easy identification of message types. Supports log rotation and file truncation. Cross-platform compatibility (Windows, macOS, Linux). Interactive dashboard for monitoring and analysis. Command-line interface for customization and configuration. Use cases of Cursor MCP Monitor? Debugging MCP server implementations by monitoring client-server interactions. Analyzing protocol messages and error patterns. Tracking client lifecycle and connection states. Monitoring server capabilities and offerings. Verifying correct protocol implementation. FAQ from Cursor MCP Monitor? Can I run Cursor MCP Monitor on different operating systems? Yes! It supports Windows, macOS, and Linux. How do I install Cursor MCP Monitor? You can install it using the .NET CLI with the command: dotnet tool install --global CursorMCPMonitor. Is there a web interface for monitoring? Yes! The application includes a web-based dashboard accessible at http://localhost:5050.
Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.
Use Cases for this MCP Server
- No use cases specified.
MCP servers like Cursor MCP Monitor can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.
About Model Context Protocol (MCP)
The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like Cursor MCP Monitor provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.
Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.