
torneo
Observatory operated and funded by devlo: real tools on frozen tasks; intervals, cost, limits.
What it can do
What data it sees
Do you need an account
No: the server works without sign-in
Observatory operated and funded by devlo: real tools on frozen tasks; intervals, cost, limits.
How to connect
How to connect torneo to Claude
The server address to paste into Claude settings:
https://torneo.ai/api/mcp
- Open Claude (claude.ai or the desktop app).
- Go to Settings → Connectors.
- Click Add custom connector.
- Paste the server address copied below into Remote MCP server URL and click Add.
- In a chat, click + → Connectors and switch the new connector on.
Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.
Authorization
After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.
How to connect torneo to ChatGPT
The server address to paste into ChatGPT settings:
https://torneo.ai/api/mcp
- Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
- Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
- Open Settings → Connectors and click Create.
- Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
- Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
- In a new chat open + → Apps/Connectors and enable the connector.
OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.
Authorization
On first use ChatGPT opens the service's sign-in window. Sign in and approve access.
How to connect torneo to Cursor
The server address to paste into Cursor settings:
https://torneo.ai/api/mcp
Fastest: click Open in Cursor below and confirm the prompt.
Manually:
- In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
- Paste the JSON copied below into
~/.cursor/mcp.json(per project:.cursor/mcp.jsonin the repo root). - Save the file. The server appears in the MCP list; authorize it there if asked.
Authorization
If the service needs sign-in, an authorize button appears next to the server in the MCP list.
Server tool list (4)
Raw names from tools/list. Only developers need these.
| 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. Categories prefixed 'fixture-' are synthetic demo data validating the machinery, never evidence about real tools. |
| 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. On a STALE, SUPERSEDED or INDETERMINATE result the answer is INSUFFICIENT_EVIDENCE and carries no rank. Identical to `torneo query <category>` on the CLI. |
| get_run | Returns the canonical result bundle of one run (schema result.v1): protocol lock hash, provenance, reproduce command, per-participant outcomes with intervals. A PRE-REGISTERED run, whose protocol is frozen and timestamped but which has not been executed, returns state PRE_REGISTERED with measured false, its lock and its frozen files, and no result: nothing has been measured yet. |
| 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, published errata (each chained to the served result hash), the legal preflight verdict per tool including tools not run, and the answer rule every consumer must follow. |