PacketVoyage turns traceroute outputs into physics-based network stories via AI

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A developer has open-sourced PacketVoyage, a Model Context Protocol (MCP) server and agent skill that uses AI to interpret traceroute data through the lens of physics, geography, and undersea cable infrastructure. The tool explains network behaviour — such as latency spikes and asterisk hops — by applying real physical laws, including the speed of light in fiber-optic cables. It is built on two layers: an Agent Skill providing physics knowledge and heuristics, and an MCP Server offering executable analysis capabilities. PacketVoyage requires no external commercial APIs or bundled copyright data, relying solely on physical calculations and network detective logic. It is compatible with AI tools like Claude and Cursor and can be added via a single command from its public GitHub repository.

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