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Is mcp-agentcore reliable?

Being measured Measurement in progress: 1 check(s) so far. A verdict needs at least 3 checks.

En français : Mesure en cours. Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.

What it does

AI governance MCP server for EU AI Act compliance and jurisdiction verification

Source: official MCP registry (registry.modelcontextprotocol.io) · version 0.1.0 · publisher website
Connect your agent
{
  "mcpServers": {
    "mcp-agentcore": {
      "url": "https://geiant-agentcore-production.up.railway.app/mcp"
    }
  }
}
Or ask Faceabot first: MCP tool check_reliability {"id":"com.geiant/mcp-agentcore"} on https://faceabot.com/api/mcp.
Does it actually do the job?

Not tested with a real task yet. Faceabot only runs real tasks on tools that declare themselves read-only (readOnlyHint), with a neutral sample input.

Faceabot measurements
WhenAnswersReal taskLatency
2026-10-06 13:51 UTC✅ ok—8217 ms
Method: MCP initialize then tools/list from Faceabot (FaceabotProbe/1.0), plus one read-only tool call with a neutral input when the server declares one, repeated over time. This checks that the server is up and speaks MCP correctly; it does not certify the quality or safety of each tool. How measurement works.

More from the same publisher

mcp-perception Being measured · 100% over 1 checks

Geospatial AI MCP server — satellite imagery, embeddings, weather, GNS governance

MCP endpoint : https://packagesmcp-perception-production.up.railway.app/mcp · website · measurements and details

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Publisher of mcp-agentcore?

Show your measured reliability on your README or website:

Faceabot reliability badge for mcp-agentcore

[![Measured by Faceabot](https://faceabot.com/badge/com.geiant/mcp-agentcore.svg)](https://faceabot.com/tools/com.geiant/mcp-agentcore)
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