github Python analyzed bb162d6

oaslananka/kicad-mcp-pro

github

AI-ready MCP server for KiCad: automate schematic, PCB, ERC/DRC, DFM, BOM and manufacturing review from Claude, Cursor, Copilot and other AI agents.

maintainer
oaslananka
license
MIT
first seen
2026-07-09
last seen
2026-08-02
releases · 30d
55
short id
risk 59/100 · heuristic grade
C elevated
  • capability exposure inferred + 35
  • recent drift inferred + 20
  • tool safety inferred + 7
  • trust mitigators mixed − 3

inferred mixed

The A–E grade is our heuristic synthesis — a "review this" prompt, not a verdict. Each factor is tagged by what backs it: attested (a verifiable record), reported (a third party's claim), or inferred (our own heuristic, e.g. permissions). See methodology.

graded 7m ago · see ecosystem CVEs →

risk trajectory 2 movements
  • C · 57 C · 59
  • C · 49 C · 57
capability exposure grade factor +35
Inferred surface — each links to servers holding it:
vulnerabilities 0 CVEs

No known CVEs for this server.

tool safety 2 findings · grade factor +7
  1. medium dangerous code

    dynamic exec: __import__(), __import__ sink

  2. low exfiltration combo

    sensitive read and network capabilities split across this server's tools

skills & danger signals github-tarball
prompt-surface shipped agent-instruction files + hidden-content / dangerous-code findings — quoted from the analyzed source

analyzed commit bb162d6 · analyzer v28 · 2d ago

skills & prompt files 18

danger signals2

other grade factors evidence elsewhere
embed badge readme-ready
live risk-grade badge preview [![MCP Observatory risk grade](https://mcpobservatory.com/servers/github:oaslananka/kicad-mcp-pro/badge.svg)](https://mcpobservatory.com/servers/github:oaslananka/kicad-mcp-pro/security)

Heuristic, inferred signals — false positives (legitimately powerful tools, forks, language ports) are expected. Treat each as "review this", not a verdict. See the ecosystem-wide picture on the security hub, or the fleet security of oaslananka.