What does Physbound validate?
It validates RF link budgets, Shannon-Hartley channel capacity, thermal noise floors, and antenna gain against hard physical limits like the speed of light and thermal noise floor.
@JonesRobM
Basic information
PhysBound is a specialized "Physics Linter" for AI that deterministically validates RF and thermodynamic claims against hard physical limits, preventing hallucinations in engineering workflows.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"physbound": {
"command": "uvx",
"args": [
"physbound"
]
}
}
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Physbound is a physical-layer linter MCP server that validates RF and physics calculations against hard physical limits. It catches AI hallucinations in engineering workflows by checking link budgets, channel capacity, thermal noise, and antenna gain against fundamental physical laws.
Install with pip install physbound, then add Physbound to any MCP-compatible client (e.g., Claude Desktop, Cursor, Windsurf) using the JSON configuration: "command": "uv", "args": ["run", "--from", "physbound", "physbound"]. Your AI assistant can then call tools like rf_link_budget, shannon_hartley, and noise_floor.
PhysicalViolationError with LaTeX explanationsIt validates RF link budgets, Shannon-Hartley channel capacity, thermal noise floors, and antenna gain against hard physical limits like the speed of light and thermal noise floor.
Install via pip with `pip install physbound`, then configure your MCP client using the command `uv run --from physbound physbound`.
It requires Python 3.12+ and uses SciPy for CODATA physical constants and Pint for dimensional analysis.
No, all calculations are performed locally; there is no external data or network dependency.
Physbound uses stdio transport as an MCP server, configured via the `command` and `args` fields in the client’s MCP configuration.
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