ProcmonMCP

ProcmonMCP is a Model Context Protocol (MCP) server that turns Process Monitor (Procmon) XML logs into an AI‑friendly knowledge base. By loading a single log file at startup, the server keeps the entire event stream in memory and exposes a rich set of tools that let large language models query, filter, and analyze system activity without needing to parse XML themselves. This solves the problem of making low‑level Windows audit data accessible to conversational AI, enabling developers and security analysts to ask natural‑language questions about process behavior, file accesses, network connections, and more.

The core value lies in the server’s ability to transform a verbose, nested XML file into fast‑retrievable objects. It uses string interning and optional stack‑trace loading to keep memory usage low while still supporting complex queries. An LLM can request event summaries filtered by process name, operation type, or path patterns; retrieve full details for a particular event index; list all unique processes in the log; or pull metadata such as capture duration and source machine. For deeper analysis, the server can aggregate events per process, compute timing statistics, or locate all network connections made during the capture. Results can be exported to CSV or JSON for downstream processing.

Key capabilities include:

• Event querying with filters on name, operation, result, path regexes, timestamps, and stack module paths.
• Event detail retrieval by index or PID for precise inspection.
• Process list exploration, providing quick access to process metadata from the log’s internal table.
• Metadata extraction (file size, capture start/end, platform information).
• Analytical tools such as event counts per process, operation summaries, and network or file access discovery.
• Export functions that write filtered results to standard formats for reporting or further analysis.

In real‑world scenarios, ProcmonMCP is invaluable in incident response and forensics. An analyst can ask an AI assistant, “Show me all file writes by after 10 PM,” and receive a concise list without manual parsing. Developers can integrate the server into CI pipelines to automatically audit build processes or detect unintended network traffic in test environments. Because MCP supports both and server‑sent events transports, it can be embedded in chat applications or command‑line tools alike.

The server’s design offers unique advantages: it preloads data once, so repeated queries are instantaneous; it exposes a standardized MCP interface that works with any compliant client (e.g., Cline); and it includes safety flags to skip heavy stack traces or unknown fields, allowing deployment in memory‑constrained contexts. By turning Procmon logs into a conversational knowledge base, ProcmonMCP bridges the gap between raw system monitoring and AI‑driven insight.