physbound
MCP server by github.com/jonesrobm/physbound
Physical Layer Linter — validates RF link budgets, Shannon capacity, and noise floors.
About physbound
physbound is an MCP (Model Context Protocol) server published by jonesrobm in the official MCP registry, listed under Code Analysis on Loomal. Physical Layer Linter — validates RF link budgets, Shannon capacity, and noise floors.
It ships as a Python package on PyPI (physbound), so any MCP client that can launch a local process can run it.
Development happens in the open at github.com/jonesrobm/physbound, where the project has earned 1 GitHub stars.
Use physbound with your agent
claude mcp add physbound -- uvx physbound{
"mcpServers": {
"physbound": {
"command": "uvx",
"args": [
"physbound"
]
}
}
}physboundFrequently asked questions
- What is physbound?
- physbound is an MCP (Model Context Protocol) server by jonesrobm in the Code Analysis category. Physical Layer Linter — validates RF link budgets, Shannon capacity, and noise floors.
- How do I connect physbound to Claude, Cursor, or another MCP client?
- Install physbound from its pypi package (physbound) and register it under "mcpServers" in your client's MCP configuration — for example claude_desktop_config.json or Cursor's mcp.json — then restart the client.
- Is physbound open source?
- Yes — the source code is public at github.com/jonesrobm/physbound, with 1 GitHub stars.
- Can AI agents pay to use physbound?
- Not yet through Loomal — physbound is listed as a free directory entry. If its maintainer verifies ownership, they can set per-call USDC pricing that agents pay over x402, with settlement on Base.
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Listing data from the official MCP registry and GitHub, refreshed periodically. Not affiliated with the maintainer unless claimed. Maintain physbound? Claim this listing free by verifying GitHub ownership, or contact us.