github Python analyzed 01b04f6

GNS-Foundation/grafomem

v0.1.0
github

MCP server that captures agent judgments and outcomes as CGR substrate on GRAFOMEM Cloud

maintainer
GNS-Foundation
license
MIT
first seen
2026-08-24
last seen
2026-09-06
releases · 30d
1
short id
risk 37/100 · heuristic grade
C elevated inferred analyzer v33 (current)
  • capability exposure inferred + 35
  • tool safety inferred + 5
  • trust mitigators mixed − 3

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.

grade last moved 1d ago · see ecosystem CVEs →

risk trajectory 1 movements
  • C · 40 C · 37
capability exposure grade factor +35
Inferred surface — each links to servers holding it:
vulnerabilities 0 CVEs

No known CVEs for this server.

tool safety 1 findings · grade factor +5
  1. medium toxic flow (lethal trifecta)

    lethal trifecta reachable across this server's tool + source surface: private-data access + untrusted-content ingestion + network exfil (a leg is proven only in the analyzed source)

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live risk-grade badge preview [![MCP Observatory risk grade](https://mcpobservatory.com/servers/github:GNS-Foundation/grafomem/badge.svg)](https://mcpobservatory.com/servers/github:GNS-Foundation/grafomem/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 GNS-Foundation.