Is Arcaeon MCP server safe?

Probably. Read the findings first.

C65/100grade C

Use with care. Some checks failed or could not be verified.

How Arcaeon compares

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

Safety score: 65/100; higher than 25% of 4,460 AI and agents servers
Tools that change things: 6%; typical: 0%. Fewer write tools means less an agent can break

What its tools let an agent do: 15 read · 1 create · 1 change

scanner v0.1.9 · 2026-09-25 · same rubric, same numbers if you re-run it

2 medium

Code scan105 source files scanned15/25
–Live reliabilityno gateway calls yet and no remote to proben/a
–Tool poisoningtools not inspected (local package is not executed); not countedn/a
Auth qualitystatic API keys via environment variables6/15
Maintenancelast push 0 days ago15/15
Maintainer identitynamespace and repository owner differ; website matches verified namespace6/10

mediumsubprocess with shell=Trueexec.shell-true

arcaeon-0.9.0/src/arcaeon/prove/baseline/runner.py: …bprocess.run( self.cmd, shell=True, input=prompt, capture_output=True, …

mediumeval / new Function usedexec.eval

arcaeon-0.9.0/src/arcaeon/prove/vet/checks.py: …loads(arg) is as dangerous as one doing eval(arg). Resolved through the # same import…

Overall 65/100. Components that don't apply are left out of the denominator. Any critical finding is an F.Rubric Appeal a finding JSON

three.ws Provenance
Append-only, signed, on-chain-verifiable agent action log — record and audit what agents did.
not reviewed
Established
B
Mockserver
Mock, record/replay, verify and chaos-test any HTTP, REST, gRPC or LLM dependency over MCP.
not reviewed
Established
A
CHAP Coordinator
Auditable records of human decisions over AI agent work. Approvals, edits, overrides, escalations.
not reviewed
Established
A