Can I load more than one Procmon file at a time?
No. ProcmonMCP loads and analyzes only a single file specified via `--input-file` at startup. To analyze a different file, you must restart the server.
@JameZUK
基本信息
An MCP server for procmon files
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"ProcmonMCP": {
"command": "python",
"args": [
"procmon-mcp.py",
"--input-file",
"/path/to/logs/my_capture.xml.gz"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
ProcmonMCP is a Model Context Protocol server that parses and analyzes Process Monitor (Procmon) XML log files. It allows LLMs connected via MCP clients to autonomously investigate system activity captured in these logs by pre-loading a specific Procmon XML file for in-memory analysis using string interning.
Install Python dependencies (modelcontextprotocol, recommended lxml and optional psutil). Run the server script with --input-file <path> pointing to the Procmon XML file (.xml, .xml.gz, .xml.bz2, or .xml.xz). Optionally specify transport (--transport stdio or sse), host/port, debug logging, and flags like --no-stack-traces or --no-extra-data. The server then exposes MCP tools for querying and analyzing the loaded log.
No. ProcmonMCP loads and analyzes only a single file specified via `--input-file` at startup. To analyze a different file, you must restart the server.
Python 3.10+, the `modelcontextprotocol` package, and optionally `lxml` (faster XML parsing) and `psutil` (memory usage reporting).
All data is loaded into memory from the specified file. No external database or persistent storage is used.
Very large files (millions of events) can consume significant RAM, even with interning. Filtering with string contains or regex is slower than exact matches. Stack trace availability depends on Procmon’s symbol configuration. Loading takes time, especially for compressed files.
ProcmonMCP supports `stdio` and `sse` MCP transport protocols. No authentication mechanism is documented. It is intended for trusted, local environments only.
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