Mcpcap is an MCP server designed for analyzing PCAP files — the packet capture format used to record raw network traffic. It connects AI agents to PCAP data through the Model Context Protocol, allowing automated inspection of network captures without manual use of packet analysis tools. The server communicates over stdio transport and is distributed as a Python package on PyPI at version 0.9.6. Because no specific tool names are published in the registry record, the exact operations exposed to an agent — such as parsing packets, filtering by protocol, extracting metadata, or summarizing traffic flows — are not enumerated here, but the stated purpose is PCAP file analysis. Mcpcap is the right choice when an agent workflow needs to process or reason about captured network traffic programmatically and the host environment supports Python and stdio-based MCP servers. It is not appropriate for live packet capture (it targets existing PCAP files), for environments that require a different MCP transport such as HTTP or WebSocket, or for use cases that have no connection to network traffic analysis.
Mcpcap
An MCP server for analyzing PCAP files.
Use cases
- Automate analysis of PCAP files captured from network interfaces
- Integrate network traffic inspection into an AI agent pipeline
- Process packet captures as part of a security investigation workflow
- Feed captured network data into an LLM for protocol-level reasoning
When to use it
- The agent needs to work with existing PCAP or network capture files
- The host environment supports Python and stdio MCP transport
- A workflow requires automated, programmatic network traffic analysis
When not to use it
- Live or real-time packet capture is needed rather than file-based analysis
- The deployment requires an MCP transport other than stdio
- No PCAP files are involved in the workflow
- A production system requires a stable, versioned license commitment — no license is specified