MCP Observatory
github not analyzable

rhinocap/raven-mcp

github

Design intelligence for AI-generated UI — principles, patterns, content, brand, design tokens.

maintainer
rhinocap
license
—
first seen
2026-06-03
last seen
2026-06-03
releases · 30d
0
short id
risk insufficient evidence

Insufficient evidence to grade. This server's source has not been statically analyzed, so a low grade would only mean "nothing found", not "nothing there". We don't show a reassuring grade we can't stand behind. Attested signals (CVEs, provenance) below still apply.

Once the source is analyzed (see the analysis flag in the header), a graded score appears here. How analysis works: methodology.

graded 13m ago · see ecosystem CVEs →

capability exposure grade factor +24
Inferred surface — each links to servers holding it:
vulnerabilities 0 CVEs

No known CVEs for this server.

tool safety 1 findings · grade factor +2
  1. lowexfiltration combo

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

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