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Is PredMCP reliable?

Flaky Partly. Faceabot measured PredMCP 5 times and only 80% of checks succeeded. Plan a fallback.

Last check: 2026-10-08 21:10 UTC · answered in 8000 ms · remote (no install)

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

What it does

Polymarket + Hyperliquid + macro for AI agents. 38 tools, signal backtest, SSE streaming. Free tier.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 0.5.0 · publisher website
Connect your agent
{
  "mcpServers": {
    "predmcp": {
      "url": "https://predmcp.com/mcp"
    }
  }
}
Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.RavioleLabs/predmcp"} 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
2026-10-08 21:10 UTC❌ timeout8000 ms
2026-10-08 12:05 UTC✅ ok❌ auth_required8729 ms
2026-10-08 02:40 UTC✅ ok❌ auth_required8126 ms
2026-10-07 16:25 UTC✅ ok❌ auth_required10677 ms
2026-10-07 04:05 UTC✅ ok❌ auth_required4161 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 PredMCP?

Show your measured reliability on your README or website:

Faceabot reliability badge for PredMCP

[![Measured by Faceabot](https://faceabot.com/badge/io.github.RavioleLabs/predmcp.svg)](https://faceabot.com/tools/io.github.RavioleLabs/predmcp)
Data in JSON: /api/catalog?id=io.github.RavioleLabs/predmcp · Stop probes: POST /api/reliability/opt-out

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