INDIVIDUAL MCP TOOL

get_run

Returns the canonical result bundle of one run (schema result.

torneo.ainone authenticationAvailability not checked

LIVE ENDPOINT

https://torneo.ai/api/mcp

No auth detected

Connect to this endpoint to inspect the live schema for get_run and invoke it with your own arguments.

{}

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.torneo]
url = "https://torneo.ai/api/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "torneo": {
      "type": "http",
      "url": "https://torneo.ai/api/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: torneo
Remote MCP URL: https://torneo.ai/api/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "torneo": {
      "url": "https://torneo.ai/api/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "torneo": {
      "type": "http",
      "url": "https://torneo.ai/api/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "torneo",
  "transport": "streamable-http",
  "url": "https://torneo.ai/api/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

list_categories — Lists every category with its status (OK: replicated ranking; LOCAL_VALIDITY: single block, no current rank claim; INDETERMINATE: precision insufficient, no rank), observation date, freshness and source run.
get_results — Answers for one category with the canonical answer rule: never 'the best tool', only the best observed evidence for this task, this context, at this date, with intervals, costs, conflicts and limits.
explain_limits — Returns what a category's (or run's) result can and cannot tell you: status and its meaning, fixture flag, freshness, expiry, explicit limits, conflicts, funding, and the answer rule every consumer must follow.