MCP Observatory
46s ago Tracked 55,861 Last 46s ago 24h 2,736
github Python analyzed 0f3cb05

cognis-digital/agentmap

github

Discover and map agent-to-agent / MCP communications and flag shadow AI

maintainer
cognis-digital
licence
NOASSERTION
first seen
2026-06-11
last seen
2026-06-30
releases · 30d
0
short id
risk 22/100 · heuristic grade
B low inferred analyzer v33 (current)
  • capability exposure inferred + 10
  • tool safety inferred + 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.

grade last moved 1d ago · see ecosystem CVEs →

risk trajectory 7 movements
  • B · 34 → B · 22
  • A · 10 → B · 34
  • B · 22 → A · 10
  • B · 30 → B · 22
  • C · 42 → B · 30
  • B · 34 → C · 42
  • A · 0 → B · 34
capability exposure grade factor +10
Inferred surface — each links to servers holding it:
vulnerabilities 0 CVEs

No known CVEs for this server.

tool safety 1 findings · grade factor +12
  1. high dangerous code

    committed secret: committed .env

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

analyzed commit 0f3cb05 · analyzer v33 · 2w ago

danger signals1

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