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Alternatives to NetMCP

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    Related Servers

    • A
      license
      Not graded
      quality
      D
      maintenance
      A comprehensive MCP server that provides AI assistants with professional-grade network analysis capabilities, combining Wireshark packet analysis, nmap scanning, and threat intelligence for enhanced network troubleshooting and security analysis.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      An MCP server that enables AI-assisted network packet analysis using Wireshark's TShark tool. It provides tools for pcap file overview, session extraction, protocol filtering, and statistical analysis through a standardized interface.
      1
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    • A
      license
      Not graded
      quality
      F
      maintenance
      An MCP server for offline network forensic analysis and threat intelligence, enabling LLMs to analyze PCAP files, extract streams, detect threats, and identify credentials using tshark.
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    • F
      license
      Not graded
      quality
      D
      maintenance
      An automated security operations center MCP server that uses LLMs and network analysis tools like Tshark to detect threats in traffic data. It enables users to automatically ingest PCAP files, query specific packets, and generate intelligent security analysis reports.
      -
    • A
      license
      B
      quality
      A
      maintenance
      An MCP server that enables LLMs to analyze pcap files by providing tools for packet dissection, stream following, and data extraction via tshark. It supports protocol hierarchy analysis, credential scanning, and threat intelligence checks on captured network traffic.
      52
      470 PyPI
      238
      MIT

    TDQS

    B3.1/5.0

    Scored across 41 tools

    Disambiguation2/5

    Many tools have overlapping purposes, such as multiple analyze_pcap_file variants (analyze_pcap_file, deep_packet_analysis, get_packet_summary) and several capture tools (capture_live_packets, capture_targeted_traffic, quick_capture) that differ only slightly in parameters. This creates ambiguity for an agent trying to select the correct tool.

    Naming Consistency3/5

    Tool names consistently use snake_case and follow a verb_noun pattern (e.g., analyze_dns_traffic, get_conversation_stats). However, the set of verbs is diverse (analyze, capture, export, get, follow, etc.), which is acceptable but not perfectly uniform. Overall, naming is functional but not highly predictable.

    Tool Count2/5

    With 41 tools, the surface is overly large for typical network analysis needs. Many tools are redundant (e.g., three capture functions for similar purposes) or overly specialized. A smaller, more focused set would reduce complexity without sacrificing capability.

    Completeness3/5

    The tool set covers a broad range of network analysis: capture, analysis, export, threat intel, visualization, and conversion. However, there are notable gaps, such as no tools for modifying packets, wireless capture, or advanced protocol analysis beyond basic HTTP/DNS. Some core workflows are covered but with excessive redundancy.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues