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DimensionMCPCapNetwork analysis for the AI ageMartinLoop MCP ServerAn independent control layer that gives AI coding agents budgets, brakes, and receipts
FMRS54 / 100 · D79 / 100 · B
Reliability8 / 2012 / 20
Security and permissions12 / 2018 / 20
Maintenance10 / 2016 / 20
Documentation12 / 2018 / 20
Setup experience12 / 2015 / 20
Best for
  • AI assistants or automation tools needing quick PCAP analysis.
  • Developers integrating network analysis into MCP clients like Claude Desktop.
  • Scenarios requiring stateless, modular, and extensible PCAP analysis.
  • Engineering teams scaling AI coding agents while controlling spend
  • Platform teams that need auditable, rollback-aware agent execution records
  • Organizations using multiple agents (Claude, Codex, Gemini) under one governed flow
Not for
  • Handling extremely large PCAP files without performance tuning (no packet limits by default).
  • Real-time network capture; mcpcap only analyzes existing PCAP files.
  • Users needing deep interactive analysis with a GUI (e.g., as a Wireshark replacement).
  • Developers who just want a simple code-completion helper without run governance
  • Teams unwilling to accept local JSONL run records with HMAC signing
  • Environments without a supported adapter (Claude/Codex/Gemini CLIs, direct provider, or verifier-only)
Required permissions
  • Read access to local PCAP files provided by the user.
  • Ability to download remote PCAP files over HTTP/HTTPS.
  • Create temporary files for remote downloads and automatic cleanup.
  • Read/write access to the configured repo root (writable scope restrictable via --allow-path/--deny-path)
  • Ability to invoke the chosen agent CLI (Claude/Codex/Gemini, etc.) and its underlying model account
  • Local disk writes for run records, receipts, and share outputs (share/run-receipt., etc.)
  • Execution of user-configured verifier commands (e.g. npm test)
Risks and side effects
  • PCAP files may contain sensitive network information; handle with care.
  • Remote PCAP files may be malicious; verify source trustworthiness.
  • Large files may consume significant memory and CPU during analysis.
  • Verifier commands are executed; poorly chosen verifier commands carry security risk despite preflight policy checks
  • Cost and token figures may be estimates (labeled with provenance) and should not be treated as settled accounting
  • Receipt integrity must be verified before use as trustworthy evidence; missing rollback evidence is flagged as EVIDENCE_BOUNDARY
  • Policy defaults come from martin.config.yaml and can be overridden by CLI flags; misconfiguration can loosen safety boundaries
Supported clientsClaude DesktopClaude Code, Codex, Gemini CLI, Cursor, VS Code, GitHub Copilot, Continue
Tools90