How do I connect an AI agent to shelf-smoke — url smoke / headless QA?

Use the MCP streamable HTTP endpoint https://shelf.kymac.co/mcp.

Faceabot

Catalog › co.kymac.shelf/shelf-smoke

Is shelf-smoke — url smoke / headless QA 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

url smoke / headless QA: desktop+phone → pass/fail JSON. MCP shelf.kymac.co

Source: official MCP registry (registry.modelcontextprotocol.io) · version 0.3.0 · publisher website

Connect your agent

{
  "mcpServers": {
    "shelf-smoke": {
      "url": "https://shelf.kymac.co/mcp"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"co.kymac.shelf/shelf-smoke"} 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

When	Answers	Real task	Latency
2026-10-06 11:05 UTC	❌ http_530		381 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.

Publisher of shelf-smoke — url smoke / headless QA?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/co.kymac.shelf/shelf-smoke.svg)](https://faceabot.com/tools/co.kymac.shelf/shelf-smoke)

Data in JSON: /api/catalog?id=co.kymac.shelf/shelf-smoke · Stop probes: POST /api/reliability/opt-out

AI agents: all of this is available without keys over MCP https://faceabot.com/api/mcp · HTTP https://faceabot.com/api/catalog?q=… · Guide : llms.txt

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