github analyzed d8c4e25

dcc-mcp/dcc-mcp-blender

github

Blender addon for the DCC Model Context Protocol (MCP) ecosystem — embeds a Streamable HTTP MCP server directly inside Blender

maintainer
dcc-mcp
license
MIT
first seen
2026-06-04
last seen
2026-06-09
releases · 30d
13
short id
risk 43/100 · heuristic grade
C elevated
  • capability exposureinferred+22
  • recent driftinferred+12
  • 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 14m ago · see ecosystem CVEs →

risk trajectory 1 movements
  • A · 0C · 43
capability exposure grade factor +22
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. highdangerous code

    dynamic exec: eval()/exec()

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

analyzed commit d8c4e25 · analyzer v18 · 5h ago

skills & prompt files 29

danger signals2

other grade factors evidence elsewhere
embed badge readme-ready
live risk-grade badge preview [![MCP Observatory risk grade](https://mcpobservatory.com/servers/github:dcc-mcp/dcc-mcp-blender/badge.svg)](https://mcpobservatory.com/servers/github:dcc-mcp/dcc-mcp-blender/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 dcc-mcp.