github Python re-analysis due

saagpatel/MCPAudit

v2.7.0
github

Audit all locally configured MCP servers for permission risks, prompt injection threats, and schema drift

maintainer
saagpatel
licence
MIT
first seen
2026-06-06
last seen
2026-09-10
releases · 30d
2
short id
risk 50/100 · heuristic grade
C elevated inferred analyzer v33 (current)
  • capability exposure inferred + 35
  • recent drift inferred + 20
  • tool safety inferred + 12
  • trust mitigators mixed − 17

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 3d ago · see ecosystem CVEs →

risk trajectory 5 movements
  • C · 56 C · 50
  • D · 64 C · 56
  • C · 56 D · 64
  • B · 32 C · 56
  • A · 0 B · 32
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 +12
  1. high dangerous code

    dynamic exec: unsafe yaml.load()

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

analyzed commit 3dc9aad · analyzer v33 · 3d ago

skills & prompt files 3

danger signals2

other grade factors evidence elsewhere
embed badge readme-ready
live risk-grade badge preview [![MCP Observatory risk grade](https://mcpobservatory.com/servers/github:saagpatel/MCPAudit/badge.svg)](https://mcpobservatory.com/servers/github:saagpatel/MCPAudit/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 saagpatel.