NL;NL Labs

com.nlnllabs/resultsVersion 1.1.3

Free daily AI pricing per right answer, for business jobs.

Status

Responds255 msNov 14, 2026, 14:07 UTCAnswered our handshake without sign-in.

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Last checked: Nov 14, 2026, 14:07 UTC
Latency: 255 ms
Remotes responding: 1 of 1
Sign-in: No sign-in
Hosting: Hosted outside the EU (detected)
Registry data as of: Nov 14, 2026, 22:14 UTC

Data from the official MCP Registry, checked by run.zero. How we check

Connect

Streamable HTTP

https://mcp.nlnllabs.com/mcpResponds255 msNov 14, 2026, 14:07 UTC

No sign-in

Claude Code

claude mcp add --transport http results https://mcp.nlnllabs.com/mcp

Claude Desktop and claude.ai

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Settings > Connectors > Add custom connector
Name: results
Remote MCP server URL: https://mcp.nlnllabs.com/mcp

Cursor

{
  "mcpServers": {
    "results": {
      "url": "https://mcp.nlnllabs.com/mcp"
    }
  }
}

VS Code

code --add-mcp '{"name":"results","type":"http","url":"https://mcp.nlnllabs.com/mcp"}'

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Tools

4 tools

Tools of NL;NL Labs
	Description		Read-only	Idempotent	Open world
`get_day_results`Use to compare the models and systems on one job on one day. Leave date out for the newest day. Returns every model's and system's published result that day, NL;NL Labs' own models and systems marked. On a job with two tests, the answer says what they are. Extract's documents days also carry invented, missed and unreadable counts. Fields: cost_per_1000_right_usd and ipd are exact; cost_shown and ipd_shown are how the page shows them. assembled_by_us is 1 when the answer was assembled by us, else 0. A count marked "not published for this model" is not published for that model.	Use to compare the models and systems on one job on one day. Leave date out for the newest day. Returns every model's and system's published result that day, NL;NL Labs' own models and systems marked. On a job with two tests, the answer says what they are. Extract's documents days also carry invented, missed and unreadable counts. Fields: cost_per_1000_right_usd and ipd are exact; cost_shown and ipd_shown are how the page shows them. assembled_by_us is 1 when the answer was assembled by us, else 0. A count marked "not published for this model" is not published for that model.	No	Yes	Yes	No
`get_model_history`Use to follow one model on one job over time (for example, has it got cheaper or worse). Returns its published days: right answers, items, cost per 1,000 right in US dollars and IPD (right answers per dollar). On a job with two tests (Extract, Classify), every row names its test; the answer says what the two tests are and when each ran, and rows from the two tests are not comparable. Fields: cost_per_1000_right_usd and ipd are exact; cost_shown and ipd_shown are how the page shows them. assembled_by_us is 1 when the answer was assembled by us, else 0. A count marked "not published for this model" is not published for that model.	Use to follow one model on one job over time (for example, has it got cheaper or worse). Returns its published days: right answers, items, cost per 1,000 right in US dollars and IPD (right answers per dollar). On a job with two tests (Extract, Classify), every row names its test; the answer says what the two tests are and when each ran, and rows from the two tests are not comparable. Fields: cost_per_1000_right_usd and ipd are exact; cost_shown and ipd_shown are how the page shows them. assembled_by_us is 1 when the answer was assembled by us, else 0. A count marked "not published for this model" is not published for that model.	No	Yes	Yes	No
`get_pick`Use it when someone asks which model to use for a job. Returns the job page's latest published pick. The pick is always an outside model: NL;NL Labs' own models and systems (NL;NL Pull, NL;NL Desk) are never the pick. When one of ours would have been the pick under the same rule, the answer adds an "ours" entry with its figures, marked as ours, not as the pick. Returns the model the job page shows as its pick, with the page's label and rule, the figures as the page shows them (right answers per $1, cost per 1,000 right), the pick's own date and that model's day row. Fields: cost_per_1000_right_usd and ipd are exact; cost_shown and ipd_shown are how the page shows them. assembled_by_us is 1 when the answer was assembled by us, else 0. A count marked "not published for this model" is not published for that model.	Use it when someone asks which model to use for a job. Returns the job page's latest published pick. The pick is always an outside model: NL;NL Labs' own models and systems (NL;NL Pull, NL;NL Desk) are never the pick. When one of ours would have been the pick under the same rule, the answer adds an "ours" entry with its figures, marked as ours, not as the pick. Returns the model the job page shows as its pick, with the page's label and rule, the figures as the page shows them (right answers per $1, cost per 1,000 right), the pick's own date and that model's day row. Fields: cost_per_1000_right_usd and ipd are exact; cost_shown and ipd_shown are how the page shows them. assembled_by_us is 1 when the answer was assembled by us, else 0. A count marked "not published for this model" is not published for that model.	No	Yes	Yes	No
`list_jobs`Lists the jobs NL;NL Labs tests every day, what each one asks, what counts as right (the site's own words), the models and systems tested on each job and the dates covered. NL;NL Labs' own models are marked; NL;NL Desk is a system, not a model. Not open yet.	Lists the jobs NL;NL Labs tests every day, what each one asks, what counts as right (the site's own words), the models and systems tested on each job and the dates covered. NL;NL Labs' own models are marked; NL;NL Desk is a system, not a model. Not open yet.	No	Yes	Yes	No

Details

Registry status: Active
Published: Nov 11, 2026
Updated: Nov 11, 2026
Website: https://nlnllabs.com/mcp/⁠ (opens in a new tab)
Repository: https://github.com/nlnl-labs/mcp⁠ (opens in a new tab)
Categories (suggested): AI modelsSuggested categories are assigned automatically from the registry text and may be wrong. Verified operators can correct them.
GDPR: Not declared

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