npm TypeScript analyzed 0.19.3 deep scan unknown

@waniwani/sdk

v0.19.3
npm

Build distribution MCPs: multi-step conversational funnels (lead gen, booking, quotes) that run as a single MCP tool in ChatGPT, Claude, and Cursor. A typed state graph compiles to one MCP tool.

maintainer
maxime-waniwani
licence
MIT
first seen
2026-06-03
last seen
2026-09-16
releases · 30d
7
short id
risk 27/100 · heuristic grade
B low inferred analyzer v33 (current)
  • capability exposure inferred + 35
  • supply-chain attested + 6
  • trust mitigators mixed − 14

attested 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 1w ago · see ecosystem CVEs →

risk trajectory 4 movements
  • A · 0 B · 27
  • A · 7 A · 0
  • A · 12 A · 7
  • C · 47 A · 12
capability exposure grade factor +35
Inferred surface — each links to servers holding it:
vulnerabilities 0 CVEs

No known CVEs for this server.

tool safety all quiet

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

other grade factors evidence elsewhere
embed badge readme-ready
live risk-grade badge preview [![MCP Observatory risk grade](https://mcpobservatory.com/servers/npm:@waniwani/sdk/badge.svg)](https://mcpobservatory.com/servers/npm:@waniwani/sdk/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 maxime-waniwani.