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Physbound

@JonesRobM

About Physbound

PhysBound is a specialized "Physics Linter" for AI that deterministically validates RF and thermodynamic claims against hard physical limits, preventing hallucinations in engineering workflows.

Basic information

Category

Other

Transports

stdio

Publisher

JonesRobM

Submitted by

Robert Jones

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "physbound": {
      "command": "uvx",
      "args": [
        "physbound"
      ]
    }
  }
}

Tools

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Overview

What is Physbound?

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.

How to use Physbound?

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.

Key features of Physbound

  • Validates RF link budgets via the Friis transmission equation
  • Computes Shannon-Hartley channel capacity and flags impossible throughput claims
  • Calculates thermal noise floor and cascaded noise figures
  • Checks antenna gains against physical aperture limits
  • Returns structured PhysicalViolationError with LaTeX explanations

Use cases of Physbound

  • RF system design review — validate link budgets and receiver sensitivity
  • Telecom proposal vetting — catch impossible throughput claims before delivery
  • Educational tools — teach Shannon-Hartley, Friis transmission, and thermal noise
  • CI/CD for physics — integrate as a validation step in engineering pipelines

FAQ from Physbound

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.

How do I install Physbound?

Install via pip with pip install physbound, then configure your MCP client using the command uv run --from physbound physbound.

What dependencies does Physbound require?

It requires Python 3.12+ and uses SciPy for CODATA physical constants and Pint for dimensional analysis.

Does Physbound require network access?

No, all calculations are performed locally; there is no external data or network dependency.

What transport protocol does Physbound use?

Physbound uses stdio transport as an MCP server, configured via the command and args fields in the client’s MCP configuration.

Comments

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