MCP Observatory
3m ago Tracked 21,441 Last 3m ago 24h 1,326
github analyzed 2b661b6

GenOrca/unreal-mcp

github

Unreal Engine MCP Server: Control UE5 with Claude & AI Agents. Supports Python and C++ for custom tool development.

maintainer
GenOrca
license
Apache-2.0
first seen
2026-06-07
last seen
2026-06-20
releases · 30d
5
short id
risk 19/100 · heuristic grade
B low
  • capability exposureinferred+22
  • 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 →

risk trajectory 2 movements
  • B · 21 → B · 19
  • B · 24 → B · 21
capability exposure grade factor +22
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.

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

analyzed commit 2b661b6 · analyzer v20 · 5h ago

skills & prompt files 1

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live risk-grade badge preview [![MCP Observatory risk grade](https://mcpobservatory.com/servers/github:GenOrca/unreal-mcp/badge.svg)](https://mcpobservatory.com/servers/github:GenOrca/unreal-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 GenOrca.