MCP Observatory
github re-analysis due unconfirmed MCP

AnastasiyaW/knowledge-space

github

Curated technical knowledge base: 785+ dense reference articles across 26 domains. Agent-first format with wiki-links, gotchas, runnable code. Not tutorials — verified references for AI agents and engineers.

maintainer
AnastasiyaW
license
—
first seen
2026-06-04
last seen
2026-06-04
releases · 30d
0
short id
risk 4/100 · heuristic grade
A minimal
  • capability exposureinferred+4

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 9m ago · see ecosystem CVEs →

capability exposure grade factor +4
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.

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

analyzed commit ab204db · analyzer v17 · 2d ago

skills & prompt files 1

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