MCP Observatory
npm analyzed 0.37.0

@whitenoisenpm/testforge-mcp

v0.37.0
npm

TestForge MCP Server — AI-powered testing in your IDE. Analyzes code for security, unit tests, load, accessibility, vision alignment, scope coverage, and stack quality.

maintainer
whitenoisenpm
license
MIT
first seen
2026-06-10
last seen
2026-06-10
releases · 30d
77
short id
risk45/100 · heuristic grade
C elevated
  • capability exposureinferred+35
  • recent driftinferred+12
  • inherited (deps)attested+1
  • trust mitigatorsmixed−3

attestedinferredmixed

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 10m ago · see ecosystem CVEs →

risk trajectory2 movements
  • C · 57 → C · 45
  • A · 0 → C · 57
capability exposuregrade factor +35
Inferred surface — each links to servers holding it:
vulnerabilities0 CVEs

no known CVEs for this server.

inherited (deps) · grade factor +1

inherited via dependencies1
LOW
Vercel’s AI SDK's filetype whitelists can be bypassed when uploading files via ai · 1 hop CVE-2025-48985 fixed in 5.0.52
tool safetyall quiet

No tool-safety findings — heuristic detectors run on the compute-risk cadence; a finding appears when a tool trips a rule.

other grade factorsevidence elsewhere
embed badgereadme-ready
live risk-grade badge preview [![MCP Observatory risk grade](https://mcpobservatory.com/servers/npm:@whitenoisenpm/testforge-mcp/badge.svg)](https://mcpobservatory.com/servers/npm:@whitenoisenpm/testforge-mcp/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 whitenoisenpm.