MCP Observatory
pypi analyzed 0.13.8

abs-mcp

v0.13.8
pypi

MCP server for the Australian Bureau of Statistics Data API. Hides SDMX behind plain-English tools, with curated mappings for Labour Force, CPI, ERP, Building Approvals, and Lending Indicators.

maintainer
Harry Vass
license
MIT
first seen
2026-06-02
last seen
2026-06-11
releases · 30d
12
short id
risk 9/100 · heuristic grade
A minimal
  • capability exposureinferred+14
  • recent driftinferred+12
  • trust mitigatorsmixed−17

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 14m ago · see ecosystem CVEs →

risk trajectory 1 movements
  • B · 15 → A · 9
capability exposure grade factor +14
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 pypi-sdist
prompt-surface shipped agent-instruction files + hidden-content / dangerous-code findings — quoted from the analyzed source

analyzed v0.13.8 · analyzer v18 · 6h ago

skills & prompt files 1

  • agent-rulesabs_mcp-0.13.8/CLAUDE.md
other grade factors evidence elsewhere
embed badge readme-ready
live risk-grade badge preview [![MCP Observatory risk grade](https://mcpobservatory.com/servers/pypi:abs-mcp/badge.svg)](https://mcpobservatory.com/servers/pypi:abs-mcp/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 Harry Vass.