MCP Observatory
github re-analysis due

Elnora-AI/elnora-mcp-server

github

AI-powered bioprotocol optimization — generate, search, and manage lab protocols via MCP

maintainer
Elnora-AI
license
—
first seen
2026-06-03
last seen
2026-06-03
releases · 30d
0
short id
risk 14/100 · heuristic grade
A minimal
  • capability exposureinferred+10
  • recent driftinferred+12
  • trust mitigatorsmixed−8

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 →

capability exposure grade factor +10
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/github:Elnora-AI/elnora-mcp-server/badge.svg)](https://mcpobservatory.com/servers/github:Elnora-AI/elnora-mcp-server/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 Elnora-AI.