Is mcp-registry/io.github.igor-holt/sear/sear_benchmarks working right now?

85
grade B · healthy
success (real usage)
—
calls observed
—
p50 latency
520ms
data basis
probe-liveness

See all live alternatives to mcp-registry/io.github.igor-holt/sear/sear_benchmarks →

FAQ

Is mcp-registry/io.github.igor-holt/sear/sear_benchmarks working right now?

As of the latest check, mcp-registry/io.github.igor-holt/sear/sear_benchmarks has a Glimind reliability score of 85/100 (grade B) 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 mcp-registry/io.github.igor-holt/sear/sear_benchmarks?

mcp-registry/io.github.igor-holt/sear/sear_benchmarks scores 85/100 (grade B) on the Glimind reliability standard. The score is neutral and unconflicted — Glimind sells no tools.

What should I do if mcp-registry/io.github.igor-holt/sear/sear_benchmarks is down or failing?

Healthy — standard retry (1–2x) with jitter on transient errors. Use a timeout around 1560ms. Check Glimind for a live alternative before retrying.

What are the best alternatives to mcp-registry/io.github.igor-holt/sear/sear_benchmarks?

Glimind surfaces live, capability-matched alternatives the moment mcp-registry/io.github.igor-holt/sear/sear_benchmarks degrades — query https://glimind.com/v1/alternatives/mcp-registry%2Fio.github.igor-holt%2Fsear%2Fsear_benchmarks.

How do I call mcp-registry/io.github.igor-holt/sear/sear_benchmarks reliably?

Before calling, check mcp-registry/io.github.igor-holt/sear/sear_benchmarks with Glimind (MCP: prepare_tool_call, or GET https://glimind.com/v1/prepare/mcp-registry%2Fio.github.igor-holt%2Fsear%2Fsear_benchmarks) to get a known-good input shape, the expected output, a suggested timeout (~1560ms), and a live fallback.

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Show live reliability in your README or status page:

Glimind reliability badge

[![Glimind reliability](https://glimind.com/v1/badge/mcp-registry%2Fio.github.igor-holt%2Fsear%2Fsear_benchmarks.svg)](https://glimind.com/tool/mcp-registry%2Fio.github.igor-holt%2Fsear%2Fsear_benchmarks)

Get the data

Agents: query https://glimind.com/mcp (MCP) or GET https://glimind.com/v1/health/mcp-registry%2Fio.github.igor-holt%2Fsear%2Fsear_benchmarks. Install the SDK to contribute outcomes (privacy-preserving) and sharpen this rating — free key · docs.

Rating methodology is transparent and neutral — Glimind sells no tools and runs no integrations; it only measures. Updated 2026-06-30T06:38:13.837Z.