Is IterableData MCP server safe?

Yes, with the usual care.

A86/100grade A

Passed every safety check we run. Maintained, authenticated, reachable, clean scan.

No critical or high findings in the latest scan.

How IterableData compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score: 86/100; higher than 72% of 48,255 servers
Tools that change things: 0%; typical: 0%. Fewer write tools means less an agent can break

What its tools let an agent do: 9 read · 1 create

Release history: 2 versions in the registry since 2026-08-18, latest 2026-10-29, typically one every 72 days.

scanner v0.1.10 · 2026-11-03 · same rubric, same numbers if you re-run it

1 medium

Code scan260 source files scanned20/25
–Live reliabilityno gateway calls yet and no remote to proben/a
–Tool poisoningtools not inspected (local package is not executed); not countedn/a
Auth qualitylocal package, no credentials required12/15
Maintenancelast push 5 days ago15/15
Maintainer identityregistry namespace matches repository owner; GitHub account older than a year9/10

mediumeval / new Function usedexec.eval

iterabledata-1.1.0/iterable/ops/filter.py: …evaluation namespace. result = eval(code, {"__builtins__": {}}, safe_dict) …

Overall 86/100. Components that don't apply are left out of the denominator. Any critical finding is an F.Rubric Appeal a finding JSON

Docling MCP
Convert PDFs and other documents to structured formats via Docling, for AI applications.
not reviewed
Established
A