dev.dungbeetle/mcp
Visual regression & snapshot testing for AI agents — list runs, read semantic diffs, review.
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.
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DUNGBEETLE_AGENT_TOKENScoped, revocable agent token minted via `dungbeetle login` (recommended).
DUNGBEETLE_CLIENT_IDRepository client id (CI-style alternative to an agent token).
DUNGBEETLE_CLIENT_SECRETRepository client secret (pairs with DUNGBEETLE_CLIENT_ID).
DUNGBEETLE_SERVER_URLServer origin; only needed when self-hosting (default https://dungbeetle.dev).
AI-powered trading strategy development: backtesting, market data, and portfolio analysis
Feature flagging and A/B testing platform with AI-first experimentation workflows.
Query Meta Ads performance data — accounts, campaigns, ad sets, ads, metrics & settings.