Skip to main content
AllMCPs
BrowseBestCategoriesStackCompareToolsGuidesBlog
Log in Submit MCP

Stay in the loop

Get new MCP servers and top picks in your inbox.

AllMCPs

The open directory for discovering and installing Model Context Protocol servers.

AllMCPs on GitHub (opens in a new tab)
Launched onTiny Startupstinystartups.com
Explore
  • Browse servers
  • Best MCP servers
  • Categories
  • MCP clients
  • Agent prompts
  • Stack Builder
  • Compare servers
  • Random discovery New
  • Submit a server
  • Pricing & Boost Boost
Learn
  • Guides hub
  • What is MCP?
  • Install guide
  • Build an MCP server
  • Deploy an MCP server
  • Security guide
  • Troubleshooting
  • MCP for SEO & AEO
  • Protocol versioning
  • Transports: stdio vs HTTP
  • State of MCP (stats)
  • Blog & updates
Tools
  • All developer tools
  • Config generator
  • Config validator
  • Config auditor
  • MCP playground
  • Token calculator
  • OpenAPI β†’ MCP
  • Badge generator
For agents
  • REST API docs
  • Trust & traffic Live
  • Remote MCP server SSE β†— (opens in a new tab)
  • llms.txt β†— (opens in a new tab)
  • Catalog JSON β†— (opens in a new tab)
Company
  • About
  • Advertise Sponsor
  • Contact
  • GitHub β†— (opens in a new tab)
  • Terms
  • Privacy
AllMCPs VerifiedAllMCPs VerifiedFeatured on Nick LaunchesFeatured on Nick LaunchesLaunch Llama NewsletterLaunch Llama NewsletterVerified DR - allmcps.comVerified DR - allmcps.comFeatured on SaaSGrowFeatured on SaaSGrowFeatured on Twelve ToolsFeatured on Twelve ToolsFeatured on Saaspa.geFeatured on Saaspa.geFeatured on Findly.toolsFeatured on Findly.toolsFeatured on Startup FameFeatured on Startup FameFeatured on LaunchKiwiFeatured on LaunchKiwiFeatured on ScrollLaunchFeatured on ScrollLaunchFeatured on DailyPingsFeatured on DailyPingsFazier badgeFazier badgeFeatured on NewTool.siteFeatured on NewTool.siteFeatured on saasfame.comFeatured on saasfame.comDR Checker - Domain RatingDR Checker - Domain RatingListed on Turbo0Listed on Turbo0Launched on LaunchBoard - Product Launch PlatformLaunched on LaunchBoard - Product Launch PlatformList on SimilarlabsList on Similarlabshttps://codetrendy.comhttps://codetrendy.comListed on DevTool.ioFeatured on BuildlistFeatured on BuildlistLaunched on Tiny StartupsFeatured on ShowMeBestAIFeatured on ShowMeBestAIFind us on LaunchZoneFind us on LaunchZoneAllMCPs VerifiedAllMCPs VerifiedFeatured on Nick LaunchesFeatured on Nick LaunchesLaunch Llama NewsletterLaunch Llama NewsletterVerified DR - allmcps.comVerified DR - allmcps.comFeatured on SaaSGrowFeatured on SaaSGrowFeatured on Twelve ToolsFeatured on Twelve ToolsFeatured on Saaspa.geFeatured on Saaspa.geFeatured on Findly.toolsFeatured on Findly.toolsFeatured on Startup FameFeatured on Startup FameFeatured on LaunchKiwiFeatured on LaunchKiwiFeatured on ScrollLaunchFeatured on ScrollLaunchFeatured on DailyPingsFeatured on DailyPingsFazier badgeFazier badgeFeatured on NewTool.siteFeatured on NewTool.siteFeatured on saasfame.comFeatured on saasfame.comDR Checker - Domain RatingDR Checker - Domain RatingListed on Turbo0Listed on Turbo0Launched on LaunchBoard - Product Launch PlatformLaunched on LaunchBoard - Product Launch PlatformList on SimilarlabsList on Similarlabshttps://codetrendy.comhttps://codetrendy.comListed on DevTool.ioFeatured on BuildlistFeatured on BuildlistLaunched on Tiny StartupsFeatured on ShowMeBestAIFeatured on ShowMeBestAIFind us on LaunchZoneFind us on LaunchZone
Β© 2026 Jackalope Digital LLC. All rights reserved.
  1. Home
  2. πŸ“Š Monitoring
  3. Physbound
Physbound logo
Health: ActiveRecent health check succeeded.Last checked 9/22/2026, 7:01:25 PM

Physbound

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View Repository2 GitHub StarsTotal stargazers on GitHub for the source repository (2 stars).Visit Website

Physical Layer Linter β€” validates RF link budgets, Shannon capacity, and noise floors.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "physbound": {
      "command": "uvx",
      "args": [
        "physbound"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (6) Directory Badge Claim listing AlternativesπŸ“Š More in Monitoring

Capabilities & Tool Schemas (6) ~209 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server β€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Physbound.

rf_link_budget

Computes a complete RF link budget using the Friis transmission equation and validates antenna gains against physical limits.

shannon_hartley

Computes Shannon-Hartley channel capacity `C = B log2(1 + SNR)` and validates throughput claims.

noise_floor

Computes thermal noise power `N = k_B T B`, cascades noise figures through multi-stage receivers with the Friis noise formula, and calculates receiver sensitivity.

radar_range

Computes the monostatic radar range equation `R_max = [P_t G^2 lambda^2 sigma / ((4pi)^3 S_min L)]^(1/4)` and validates detection-range claims.

antenna_gain

Analyses a single antenna from its diameter or physical area: gain limits, beamwidth, and far-field distance, with optional validation of a claimed gain.

radar_ambiguity

Computes pulse-Doppler ambiguity limits for a given carrier frequency and PRF.

Documentation Overview

PhysBound

PhysBound

Physical Layer Linter β€” an MCP server that validates RF and physics calculations against hard physical limits, catching AI hallucinations in engineering workflows.

CI codecov PyPI MCP Registry License: MIT Python 3.12+ MCP Badge Ko-fi


PhysBound CLI catching a Shannon-Hartley violation

LLMs generate plausible-sounding RF numbers that violate fundamental physics β€” throughput above the Shannon limit, antenna gains no aperture can produce, radar ranges the range equation forbids. PhysBound gives any MCP-compatible AI assistant six validated calculation tools, backed by CODATA constants (via SciPy) and dimensional analysis (via Pint). Impossible claims return structured PhysicalViolationError responses with the violated law, the computed limit, and a LaTeX explanation β€” not silent failures.

ToolWhat it validates
rf_link_budgetFriis link budgets: FSPL, received power, antenna gains vs. aperture/Harrington limits
shannon_hartleyThroughput claims against channel capacity C = B log2(1 + SNR)
noise_floorThermal noise kTB, Friis noise-figure cascades, receiver sensitivity
radar_rangeDetection-range claims against the monostatic radar range equation
antenna_gainGain limits, beamwidth, and far-field distance for a single antenna
radar_ambiguityPulse-Doppler unambiguous range/velocity, Doppler aliasing, range resolution

Installation

PhysBound is a standard stdio MCP server published on PyPI. The recommended launch command is uvx physbound, which fetches and runs the latest release in an isolated environment β€” no manual install step.

First run: uvx downloads ~60 MB of dependencies (SciPy, NumPy) the first time. Run uvx physbound once in a terminal to pre-cache them (Ctrl-C to exit); subsequent starts are instant.

Claude Code

Terminal
claude mcp add physbound -- uvx physbound

Claude Desktop

Add to claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\):

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

Cursor, Windsurf, and other MCP clients

Use the same JSON server entry as above in your client's MCP configuration file (Cursor: ~/.cursor/mcp.json; Windsurf: ~/.codeium/windsurf/mcp_config.json).

Without uv

If you prefer a plain Python install (requires Python 3.12+):

Terminal
pip install physbound

then set "command": "physbound" (with no args) in the client configuration.

Once configured, ask your assistant an RF question β€” "Can a 20 MHz channel with 15 dB SNR support 500 Mbps?" β€” and it will answer with physics-validated numbers.

Command-Line Usage

The same validators are available directly from the terminal β€” useful in scripts and CI pipelines, since a physics violation exits with code 1:

console
$ physbound check shannon --bandwidth-hz 20e6 --snr-db 15 --claimed-throughput-bps 500e6
PHYSICS VIOLATION [Shannon-Hartley Theorem]
  Claimed throughput 500000000.0 bps exceeds Shannon limit of 100556153.5 bps by 397.2%
  Computed limit: 1.00556e+08 bps
  Claimed value:  5e+08 bps
$ echo $?
1
console
$ physbound check shannon --bandwidth-hz 20e6 --snr-db 15 --claimed-throughput-bps 100e6
Shannon-Hartley Capacity: ...   # exit code 0

Available subcommands: check {link-budget, shannon, noise, radar-range, antenna, radar-ambiguity} (flags mirror the MCP tool parameters; add --json for the full structured result) and serve --transport {stdio,http} for running the MCP server over HTTP. See physbound check --help for details.

What LLMs Get Wrong

Sixteen real hallucination patterns, each caught by PhysBound's test suite:

#CategoryLLM HallucinationPhysBound TruthVerdict
1Shannon-HartleyA 20 MHz 802.11n channel with 15 dB SNR can achieve 500 MbpsShannon limit: 100.6 Mbps (not 500 Mbps)CAUGHT
2Shannon-HartleyA 100 MHz 5G channel with 20 dB SNR delivers 2 GbpsShannon limit: 665.8 Mbps (not 2000 Mbps)CAUGHT
3Antenna ApertureA 30 cm dish antenna at 1 GHz provides 45 dBi gainPhysical limit: 12.1 dBi (Harrington); aperture eta=1: 9.9 dBi; typical dish: 7.4 dBi (eta=0.55) (not 45 dBi)CAUGHT
4Thermal NoiseReceiver noise floor of -180 dBm/Hz at room temperatureThermal noise floor: -174.0 dBm/Hz at 290K (not -180 dBm/Hz)CAUGHT
5Link Budget / FSPLWi-Fi at 2.4 GHz with 20 dBm TX reaches 10 km with -40 dBm RX powerActual RX power at 10 km: -94.1 dBm (not -40 dBm)CAUGHT
6Link Budget / FSPLA 1W transmitter at 12 GHz with 0 dBi antennas reaches GEO at -80 dBmActual RX power at GEO: -175.1 dBm (not -80 dBm)CAUGHT
7Link Budget / FSPLBluetooth at 2.4 GHz with 0 dBm TX and 0 dBi antennas reaches 1 km at -60 dBmActual RX power at 1 km: -100.1 dBm (not -60 dBm)CAUGHT
8Shannon-HartleyA 10 MHz LTE channel at 10 dB SNR supports 1 GbpsShannon limit: 34.6 Mbps (not 1000 Mbps)CAUGHT
9Noise CascadeReceiver NF is the same regardless of stage order: LNA(20dB/1.5dB) + Mixer(10dB/8dB)LNA first: 1.66 dB vs mixer first: 8.03 dB (penalty: 6.4 dB)CAUGHT
10Antenna ApertureA 10 cm patch antenna at 900 MHz provides 20 dBi gainPhysical limit: 4.4 dBi (Harrington, D < lambda); aperture eta=1: -0.5 dBi; typical: -3.1 dBi (eta=0.55) (not 20 dBi)CAUGHT
11Radar Range EquationDoubling transmit power doubles radar detection rangeRange increases by factor 1.189 (2^(1/4) = 1.189), not 2.0CAUGHT
12Radar Range EquationSmall drone (0.01 m^2 RCS) detectable at 200 km by 1 kW X-band radar with 30 dBi gainMax range: 2.7 km for 0.01 m^2 RCS at 1 kW X-band (not 200 km)CAUGHT
13Antenna GainA 0.5 m user-terminal dish at 12 GHz gives 50 dBi gainPhysical limit: 36.1 dBi (Harrington); typical dish: 33.4 dBi (eta=0.55) (not 50 dBi)CAUGHT
14Antenna GainA 3 m dish at 10 GHz is in its far field at 10 m, so gain can be measured thereFar-field distance 2D^2/lambda = 600 m; 10 m is in the near fieldCAUGHT
15Radar AmbiguityA 10 GHz radar at 10 kHz PRF unambiguously measures 500 m/sv_ua = lambda*PRF/4 = +/-74.9 m/s (blind speed 149.9 m/s); 500 m/s aliases (not 500 m/s)CAUGHT
16Radar AmbiguityA 10 GHz pulse-Doppler radar can unambiguously cover 150 km and +/-300 m/s at onceR_uav_ua = clambda/8 = 1.123e+06 m^2/s for any PRF; claimed 4.5e+07 m^2/s (40x too large)CAUGHT

Generated automatically by pytest tests/test_marketing.py -s

Tools

Full derivations, sources, and worked examples for every formula are in docs/formulas.md.

rf_link_budget

Computes a complete RF link budget using the Friis transmission equation and validates antenna gains against physical limits.

Example: "What's the received power for a 2.4 GHz link at 100 m with 20 dBm TX, 10 dBi TX gain, 3 dBi RX gain?"

Returns FSPL, received power, wavelength, and β€” when antenna diameters are supplied β€” gain limit checks. Gains above the hard bound G_max = max((pi D / lambda)^2, (ka)^2 + 2ka) (the eta = 1 aperture value, or Harrington's bound for electrically small antennas) are rejected; gains above the typical dish value (eta = 0.55) are accepted with a warning. Also warns inside the far-field distance 2D^2/lambda and rejects negative losses.

shannon_hartley

Computes Shannon-Hartley channel capacity C = B log2(1 + SNR) and validates throughput claims.

Example: "Can a 20 MHz channel with 15 dB SNR support 500 Mbps?"

Returns theoretical capacity, spectral efficiency, and whether the claim is physically possible, including the exact percentage by which a violating claim exceeds the Shannon limit.

noise_floor

Read the full README β†’View source on GitHub β†’

Related MCP Servers

View all in Monitoring View all alternatives
  • World Monitor logoWorld Monitor

    Live global intelligence: real-time markets, conflicts, country risk, chokepoints, energy. 39 tools.

    πŸ“Š Monitoring5 views
    Compare vs World Monitor β†’
  • MCP Ts Template logoMCP Ts Template

    A production-grade TypeScript template for scalable MCP servers with built-in observability.

    πŸ“Š Monitoring0 views
    Compare vs MCP Ts Template β†’
  • MCP Ts Core logoMCP Ts Core

    TypeScript framework for building MCP servers with declarative definitions and observability.

    πŸ“Š Monitoring0 views
    Compare vs MCP Ts Core β†’
  • Anki MCP Server logoAnki MCP Server

    MCP server for Anki flashcards: adaptive review, notes, media, and deck management via AnkiConnect.

    πŸ“Š Monitoring1 views
    Compare vs Anki MCP Server β†’

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
2
Stargazers on the source repository.
Last commit
3d ago
Most recent push to the default branch.
Tools exposed
6
Callable tools this server registers over MCP.

Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about Physbound

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "physbound": { "command": "uvx", "args": ["physbound"] } }

AllMCPs Directory Badge

Full Badge Customizer

Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.

Badge Style:
Live Dynamic SVG PreviewPhysbound AllMCPs Directory Badge
Markdown (GitHub README)
[![AllMCPs](https://allmcps.com/api/badge/physbound?style=directory)](https://allmcps.com/mcp/physbound)
HTML Embed
<a href="https://allmcps.com/mcp/physbound"><img src="https://allmcps.com/api/badge/physbound?style=directory" alt="Physbound on AllMCPs" /></a>

Technical Specs & Signals

CategoryπŸ“ŠMonitoring
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimePython
Last updatedSep 21, 2026
11/12 checks healthy over the last 46d
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars2
GitHub Star CountTotal stargazers on GitHub representing community popularity (2 stars).
Last commit3d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Sep 21, 2026
52Quality signal: Good Β· 52/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools24/30
Adoption & activity5/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 2d ago via OSV.dev Β· physbound (PyPI)

β˜… FeaturedMoxie Docs MCP logo

Moxie Docs MCP

MCP & Agent Skills for Automated Documentation, and codebase conventions + context

Explore Server β†’

Own this project?

This directory is pre-filled from public sources. Claim via GitHub README, site badge, or DNS TXT to unlock edit access and the Official badge β€” proof is checked automatically, then reviewed by our team.

Free dofollow backlink: add your website and place the AllMCPs badge on it β€” no claim needed. We detect it automatically and keep it verified as long as the badge stays live.

Claim & get free dofollow

Share & Embed

Add our SVG badge (dark/light directory styles) or embeddable widget to your site.

Explore more

More in πŸ“Š Monitoring β†’Best MCP servers for Monitoring & Observability β†’Alternatives to Physbound β†’Install in Claude DesktopInstall in CursorInstall in VS CodeSetup guides for all 13 MCP clients