github Python re-analysis due

mirastacklabs-ai/mirastack-redfish-mcp

v0.1.2
github

Governed MCP server for DMTF Redfish-compliant BMCs. Read-only by default; power, firmware and account operations require explicit opt-in

maintainer
mirastacklabs-ai
license
Apache-2.0
first seen
2026-08-11
last seen
2026-08-12
releases · 30d
6
short id
risk 13/100 · heuristic grade
A minimal inferred analyzer v30 (3 behind)

This grade was produced by analyzer v30 , 3 version s behind the one running now. Detectors added since have not been applied here, so it is not directly comparable with a server analyzed at the current version. A re-scan is queued.

  • capability exposure inferred + 22
  • trust mitigators mixed − 9

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.

graded 8m ago · see ecosystem CVEs →

risk trajectory 3 movements
  • A · 5 A · 13
  • A · 11 A · 5
  • B · 19 A · 11
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.

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