Is detect_mev working right now?

io.emc2ai/einstein · mcp-registry/io.emc2ai/einstein/detect_mev

healthy
Recommendation: proceed
uptime (30d probes)
99.2%
checks observed
3,615
p50 latency
351ms
data basis
probe-history (3615 checks, 99.2% up)

Recovery track record: 169 outages in 90 days, median time-to-recovery 3 min.

Recent contract changes

Schema/catalog changes Glimind observed on this server — a changed contract can silently break a previously working call.

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Claude Code

claude mcp add --transport http glimind https://glimind.com/mcp

Claude Desktop · Windsurf · Cline (mcpServers JSON)

{
  "mcpServers": {
    "glimind": {
      "type": "http",
      "url": "https://glimind.com/mcp"
    }
  }
}

Or wrap your calls with the SDK: npm i glimind · pip install glimind. See how it works

FAQ

Is detect_mev working right now?

As of the latest check, detect_mev (mcp-registry/io.emc2ai/einstein/detect_mev) has a Glimind reliability score of 74/100 (grade C) and its current verdict is "healthy" — recommendation: proceed. Glimind tracks this live from safe liveness probes plus privacy-clean real-usage outcomes.

How reliable is detect_mev?

detect_mev scores 74/100 (grade C) on the Glimind reliability standard. The score is neutral and unconflicted — Glimind sells no tools.

What should I do if detect_mev is down or failing?

Healthy — standard retry (1–2x) with jitter on transient errors. Use a timeout around 1053ms. Check Glimind for a live alternative before retrying.

What are the best alternatives to detect_mev?

Glimind surfaces live, capability-matched alternatives the moment detect_mev degrades — query https://glimind.com/v1/alternatives/mcp-registry%2Fio.emc2ai%2Feinstein%2Fdetect_mev.

How do I call detect_mev reliably?

Before calling, check detect_mev with Glimind (MCP: prepare_tool_call, or GET https://glimind.com/v1/prepare/mcp-registry%2Fio.emc2ai%2Feinstein%2Fdetect_mev) to get a known-good input shape, the expected output, a suggested timeout (~1053ms), and a live fallback.

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Show live reliability in your README or status page. It auto-updates and links back here — copy one:

Glimind reliability badge for mcp-registry/io.emc2ai/einstein/detect_mev

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[![Glimind reliability](https://glimind.com/v1/badge/mcp-registry%2Fio.emc2ai%2Feinstein%2Fdetect_mev.svg)](https://glimind.com/tool/mcp-registry%2Fio.emc2ai%2Feinstein%2Fdetect_mev?ref=badge)
HTML
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   :alt: Glimind reliability

Operator of io.emc2ai/einstein?

Claim this listing → Prove you control this server (GitHub repo, live endpoint, or DNS — automated, ~1 min) to unlock the Verified operator marker, a remediation checklist (exactly why your score is what it is + how to raise it), and owner analytics. Or just embed the badge above and improve your score by having users report real outcomes (privacy-clean) via the free SDK. Glimind is neutral and sells no tools — the score is never for sale, so the fastest path to a better score is real uptime plus real usage.

Get the data (agents)

Query https://glimind.com/mcp (MCP) or GET https://glimind.com/v1/health/mcp-registry%2Fio.emc2ai%2Feinstein%2Fdetect_mev. The signed reliability feed for gateways/routers: GET https://glimind.com/v1/reliability/feed.

Rating methodology is transparent and neutral — Glimind sells no tools and runs no integrations; it only measures. Updated 2026-10-17T19:29:58.997Z.

This score is an automated estimate derived from safe liveness probes and privacy-clean outcomes reported by users; it may be incomplete, delayed, or inaccurate, and reflects reachability from Glimind's vantage point — not a statement of fact about the service. Glimind is not affiliated with, endorsed by, or acting for this tool or its operator; all names belong to their owners. Operator? Request a correction, or remove your server from measurement, via https://glimind.com/opt-out or [email protected] — we act promptly.