MCP Observatory
github not analyzable

n24q02m/wet-mcp

github

Open-source MCP server for AI agents: web search, content extraction, and library docs -- 5-strategy scraping, runs without API keys.

maintainer
n24q02m
license
MIT
first seen
2026-06-07
last seen
2026-06-15
releases · 30d
28
short id
risk 44/100 · heuristic grade
C elevated

Source not yet analyzed — this grade rests on attested signals (CVEs, supply-chain) only. It is a floor: reading the code could raise it, not lower it.

  • capability exposureinferred+35
  • tool safetyinferred+12
  • trust mitigatorsmixed−3

inferredmixed

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 →

capability exposure grade factor +35
Inferred surface — each links to servers holding it:
vulnerabilities 0 CVEs

No known CVEs for this server.

tool safety 1 findings · grade factor +12
  1. highexfiltration comboextract

    single tool reads + sends: fs, net

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

analyzed analyzer v18 · 1h ago

skills & prompt files 6

embed badge readme-ready
live risk-grade badge preview [![MCP Observatory risk grade](https://mcpobservatory.com/servers/github:n24q02m/wet-mcp/badge.svg)](https://mcpobservatory.com/servers/github:n24q02m/wet-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 n24q02m.