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io.github.wundervault/wundervault-mcp

io.github.wundervault/wundervault-mcp·v1.6.7·Security

Zero-knowledge secret vault for AI agents: secrets injected into commands, never seen by the model

Trust verdict · v1 advisory · method
NOT YET SCREENEDno verdict on file

Verdict not yet evaluated for this tool. The semantic screen takes adversarial cases first; coverage rolls out as the corpus expands (15/150 labels to graduation). The deterministic conformance probe is built but has not yet run on the public corpus, so a recorded verdict here is REVIEW or UNVERIFIED, never a clearing ALLOW. Until a verdict is recorded, an agent should treat this tool as not-yet-cleared and fall back to its own checks. Method: the eval, four-state verdict, honest limits.

Own this server? Screen its description →

Environment variables
WUNDERVAULT_AGENT_NAME
required

Agent name registered with the local wundervault-agent daemon (run onboard.py to register).

WUNDERVAULT_AGENT_TOKEN
secret

Optional daemon auth token. Defaults to ~/.wundervault/agents/<agentName>.token.

MCP quality score · maturity, not trust · methodology
freshness
25
completeness
15
installability
25
documentation
15
stability
10
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