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Is math-to-code-mcp reliable?

Reliable (measured) Yes. Faceabot measured math-to-code-mcp 12 times: 100% of checks succeeded, including the last 12 in a row (last check 2026-10-19 13:30 UTC).

Last check: 2026-10-19 13:30 UTC · answered in 6746 ms · remote (no install)

En français : Fiable (mesuré). Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.

What it does

Math MCP server for primality, factorization, Java templates, and integer multiplication.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.0.1 · publisher website
Connect your agent
{
  "mcpServers": {
    "math-to-code-mcp": {
      "url": "https://math-to-code-mcp-production.up.railway.app/mcp"
    }
  }
}
Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.phpranga/math-to-code-mcp"} 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
2026-10-19 13:30 UTC✅ ok—6746 ms
2026-10-18 21:40 UTC✅ ok—8179 ms
2026-10-18 07:55 UTC✅ ok—5025 ms
2026-10-18 00:05 UTC✅ ok—6353 ms
2026-10-17 16:00 UTC✅ ok—7547 ms
2026-10-17 08:02 UTC✅ ok—5989 ms
2026-10-17 00:05 UTC✅ ok—7020 ms
2026-10-16 17:01 UTC✅ ok—8020 ms
2026-10-16 10:01 UTC✅ ok—7690 ms
2026-10-16 03:10 UTC✅ ok—6236 ms
2026-10-15 20:15 UTC✅ ok—6347 ms
2026-10-15 13:31 UTC✅ ok—6754 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.

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Publisher of math-to-code-mcp?

Show your measured reliability on your README or website:

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Data in JSON: /api/catalog?id=io.github.phpranga/math-to-code-mcp · Stop probes: POST /api/reliability/opt-out

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