Is VisualTorch MCP server safe?
Yes, with the usual care.
Passed every safety check we run. Maintained, authenticated, reachable, clean scan.
No critical or high findings in the latest scan.
How VisualTorch compares
Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 86/100
- higher than 77% of 4,456 AI and agents servers
- Tools that change things
- 0%
- typical: 3%. Fewer write tools means less an agent can break
What its tools let an agent do: 4 read
Public scan report
scanner v0.1.10 · 2026-11-05 · same rubric, same numbers if you re-run it
1 medium
- Code scan24 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 1 days ago15/15
- Maintainer identityregistry namespace matches repository owner; GitHub account older than a year9/10
Findings (1)
- mediumeval / new Function used
exec.evalvisualtorch-1.4.1/visualtorch_mcp/worker.py: … raise TypeError(message) model = eval(model_expression, namespace) # noqa: S3…
Overall 86/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON
Other servers that do what VisualTorch does
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- PaperBananaGenerate academic diagrams and statistical plots from text using multi-agent AI.not reviewedEstablishedA