MCP Observatory
github re-analysis due

forgesworn/bray

github

Trust-aware Nostr MCP server for AI agents and humans. Verification, proximity, and access woven into every interaction.

maintainer
forgesworn
license
MIT
first seen
2026-06-03
last seen
2026-06-15
releases · 30d
0
short id
risk 29/100 · heuristic grade
B low
  • capability exposureinferred+28
  • tool safetyinferred+12
  • trust mitigatorsmixed−11

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 12m ago · see ecosystem CVEs →

risk trajectory 1 movements
  • C · 36 → B · 29
capability exposure grade factor +28
Inferred surface — each links to servers holding it:
vulnerabilities 0 CVEs

No known CVEs for this server.

tool safety 2 findings · grade factor +12
  1. highdangerous code

    env-secret-flows-to-network-js: A process environment value (often a secret/token) flows into a network call — possible credential exfiltration. (/tmp/obs-code-GOpaPs/forgesworn-br

  2. highdangerous code

    credential logged in 1 file(s)

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

analyzed commit 33eb25e · analyzer v17 · 3d ago

skills & prompt files 3

danger signals1

embed badge readme-ready
live risk-grade badge preview [![MCP Observatory risk grade](https://mcpobservatory.com/servers/github:forgesworn/bray/badge.svg)](https://mcpobservatory.com/servers/github:forgesworn/bray/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 forgesworn.