MCP Observatory
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lfdubiela/mockwave

github

HTTP mock server with Goja scripting, MCP integration for AI-assisted rule generation, and a real-time admin UI. Local dev or deployed.

maintainer
lfdubiela
license
MIT
first seen
2026-06-06
last seen
2026-09-02
releases · 30d
3
short id
risk 18/100 · heuristic grade
B low inferred analyzer v33 (current)
  • capability exposure inferred + 14
  • 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.

grade last moved 10h ago · see ecosystem CVEs →

risk trajectory 3 movements
  • A · 0 → B · 18
  • A · 2 → A · 0
  • A · 9 → A · 2
capability exposure grade factor +14
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 exfiltration combo generate_from_openapi

    single tool reads + sends: fs, net

  2. low exfiltration combo list_matched

    single tool reads + sends: net, db

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