MCP Observatory
github analyzed 2eefa49

Extelligence-ai/bagel

github

Chat with your robotics, drone, and IoT data — ChatGPT for the physical world.

maintainer
Extelligence-ai
license
Apache-2.0
first seen
2026-06-01
last seen
2026-06-04
releases · 30d
0
short id
risk46/100 · heuristic grade
C elevated
  • capability exposureinferred+22
  • recent driftinferred+12
  • tool safetyinferred+12

inferred

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 trajectory1 movements
  • A · 0 → C · 46
capability exposuregrade factor +22
Inferred surface — each links to servers holding it:
vulnerabilities0 CVEs

no known CVEs for this server.

tool safety1 findings · grade factor +12
  1. highdangerous code

    committed secret: committed .env

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

analyzed commit 2eefa49 · analyzer v17 · 1d ago

danger signals1

other grade factorsevidence elsewhere
embed badgereadme-ready
live risk-grade badge preview [![MCP Observatory risk grade](https://mcpobservatory.com/servers/github:Extelligence-ai/bagel/badge.svg)](https://mcpobservatory.com/servers/github:Extelligence-ai/bagel/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 Extelligence-ai.