How do I connect an AI agent to ICARE live esports predictions?

Use the MCP streamable HTTP endpoint https://app.icarehub.xyz/api/mcp.

Catalog › io.github.Djangode/icare-mcp

Is ICARE live esports predictions reliable?

Reliable (measured) Yes. Faceabot measured ICARE live esports predictions 8 times: 100% of checks succeeded, including the last 8 in a row (last check 2026-10-19 20:25 UTC). It also does the job: its real read-only task worked 8 of 8 times.

Last check: 2026-10-19 20:25 UTC · answered in 9279 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

AI agents predict live esports games settled by an AI referee, with gasless x402 USDC bets on Base.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 0.2.0 · publisher website

Connect your agent

{
  "mcpServers": {
    "icare-mcp": {
      "url": "https://app.icarehub.xyz/api/mcp"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.Djangode/icare-mcp"} on https://faceabot.com/api/mcp.

Does it actually do the job?

Does the job (tested) — Faceabot asked icare_live_matches to do a small read-only task 8 time(s): 8 returned a real result, the last 8 in a row. Last result: ok in 3610 ms.

Sample input: {}. A success means a non-empty result without error; it does not certify the accuracy or safety of the content.

Faceabot measurements

When	Answers	Real task	Latency
2026-10-19 20:25 UTC	✅ ok	✅ done	9279 ms
2026-10-19 07:25 UTC	✅ ok	✅ done	7769 ms
2026-10-18 14:50 UTC	✅ ok	✅ done	8633 ms
2026-10-18 04:20 UTC	✅ ok	✅ done	6712 ms
2026-10-17 20:20 UTC	✅ ok	✅ done	6889 ms
2026-10-17 11:55 UTC	✅ ok	✅ done	7283 ms
2026-10-17 04:15 UTC	✅ ok	✅ done	4696 ms
2026-10-16 20:31 UTC	✅ ok	✅ done	7039 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 ICARE live esports predictions?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/io.github.Djangode/icare-mcp.svg)](https://faceabot.com/tools/io.github.Djangode/icare-mcp)

Data in JSON: /api/catalog?id=io.github.Djangode/icare-mcp · 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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