Real-time monitoring tool for Model Context Protocol (MCP) interactions in Cursor AI editor. Track, analyze, and debug AI context exchanges between
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. That is what the cursor mcp monitor mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.
A .NET console application that monitors Model Context Protocol (MCP) interactions in the Cursor AI editor. This tool helps developers debug and analyze MCP server-client communications by monitoring log files in real-time.
The Model Context Protocol (MCP) is an open protocol that standardizes how applications provide context to LLMs. It follows a client-server architecture where: - MCP Hosts (like Cursor) connect to multiple servers - MCP Clients maintain 1:1 connections with servers - MCP Servers expose specific capabilities through the standardized protocol - Local Data Sources and Remote Services are accessed securely through MCP servers
The server publishes 14 tools. What each one is for:
Real — time monitoring of MCP client-server interactions in Cursor:Green — Client creation and successful connectionsYellow — Server offering listingsRed — Protocol errors and client closuresGray — General information messagesCross — platform support (Windows, macOS, Linux)Command — line interface for easy customizationLogsRoot — The root directory to monitor for Cursor MCP logs. If null, defaults to:Windows — %AppData%/Cursor/logsmacOS — ~/Library/Application Support/Cursor/logsLinux — ~/.config/Cursor/logsPollIntervalMs — How often to check for new log lines (in milliseconds)The server ships on a container image as Support/Cursor/logs, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.
Among the monitoring and observability options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Cursor MCP Monitor's toolset — Real, Green, Yellow and 11 more — is a fair guide to whether it matches your workflow. It is maintained by willibrandon; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Cursor MCP Monitor's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| Real | time monitoring of MCP client-server interactions in Cursor: |
| Green | Client creation and successful connections |
| Yellow | Server offering listings |
| Red | Protocol errors and client closures |
| Gray | General information messages |
| Cross | platform support (Windows, macOS, Linux) |
| Command | line interface for easy customization |
| LogsRoot | The root directory to monitor for Cursor MCP logs. If null, defaults to: |
| Windows | %AppData%/Cursor/logs |
| macOS | ~/Library/Application Support/Cursor/logs |
| Linux | ~/.config/Cursor/logs |
| PollIntervalMs | How often to check for new log lines (in milliseconds) |
| LogPattern | The log file pattern to monitor (supports glob patterns like "Cursor MCP*.log") |
| Verbosity | The verbosity level (Debug, Information, Warning, Error). Defaults to Debug to show all messages. |
{
"mcpServers": {
"cursormcpmonitor": {
"command": "docker",
"args": ["run", "-i", "--rm", "Support/Cursor/logs"]
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
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