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Torneo

io.github.devlollc/torneo · v0.1.1

Observatory operated and funded by devlo: real tools on frozen tasks; intervals, cost, limits.

Connect Remote server

Terminal
claude mcp add --transport http torneo https://torneo.ai/api/mcp
~/.cursor/mcp.json
{
  "mcpServers": {
    "torneo": {
      "url": "https://torneo.ai/api/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "torneo": {
      "type": "http",
      "url": "https://torneo.ai/api/mcp"
    }
  }
}
Claude Desktop
Settings > Connectors > Add custom connector
URL: https://torneo.ai/api/mcp

Tools 9 found in our last check

  • list_categories

    Discover categories with dated status and fixture flags. Fixtures are synthetic, never real evidence.

  • get_results

    Canonical evidence for a category. Cite observed_at, uncertainty and limits; never the best tool. INSUFFICIENT_EVIDENCE is not a ranking.

  • get_run

    Canonical result bundle or explicit PRE_REGISTERED state. Unknown cost is null / UNKNOWN.

  • explain_limits

    Limits, freshness, conflicts and answer rule of a category or run. Read before citing evidence.

  • get_auto_tournament

    Automatic attempts, including failures: current private-store state when configured, otherwise a published snapshot. No execution is triggered.

  • submit_need

    Log an advisory need.v1 request. Do not include personal or secret data. Returns need-id; persistence is partial until private ingestion and publication.

  • request_tournament

    Request a tournament using need.v1. Advisory only; never starts a run or spends. Follow the returned id with get_need.

  • get_need

    Follow need-id in current private-store state when configured, otherwise the published snapshot. Unknown or unavailable means partial, not refused.

  • decide

    Read-only decision.v1 for one category and a declared context: constraint applicability first, then EVIDENCE or ABSTAIN with a stable reason_code (answer_rule.v3). An abstention removes the verdict only; evidence, reservations and gaps stay. Never a rank on overlapping intervals…

Details

Endpointhttps://torneo.ai/api/mcp (Streamable HTTP)
First published3 Sep 2026
Last updated3 Sep 2026
Registry nameio.github.devlollc/torneo

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