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Lugtorq: the site's own MCP server — dataset; every answer cites the site.

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Status
Healthy
Uptime
100.0% over the last 24 hours
Last Tested
Transport
Streamable HTTP · MCP 2025-11-25
URL
ChatGPT
–
Claude
–

TDQS

A3.7/5.0

Scored across 7 tools

Disambiguation4/5

Most tools have distinct purposes: schema, provenance, exact lookup, substring search, stats, top/bottom, and multi-value comparison. The only mild overlap is dataset_row vs dataset_compare, since both filter by column equality, but compare explicitly handles multi-value ordered queries.

Naming Consistency4/5

All tools share a clear dataset_ prefix, making the family obvious. The suffix style is slightly mixed (nouns like row/stats vs verbs like search/compare vs adjective top), but the pattern is predictable and readable.

Tool Count5/5

Seven tools is well-scoped for a single-dataset querying server. Each operation earns its place, covering schema, content, search, comparison, statistics, extremes, and provenance without unnecessary bloat.

Completeness5/5

The surface provides comprehensive read-only coverage of the dataset: schema discovery, exact and fuzzy lookup, comparisons, numerical summaries, ranking, and attribution metadata. There are no obvious dead ends for common exploratory questions.

Available Tools

7 tools
dataset_columnsDataset columns and shapeAInspect

The columns, which of them are numeric, the row count and the provenance banner of the Lugtorq dataset. Call this first to learn the schema.

Inputs: no named parameters.

dataset_compareCompare rows side by sideAInspect

The rows of the Lugtorq dataset whose column is any of the given values, in the order given — for "X vs Y" questions.

Inputs: column (required), values (required).

dataset_provenanceWhere this data comes from, and how to cite itAInspect

The source, the date it was computed, the licence and the citation for the Lugtorq dataset. Read this to attribute a figure correctly.

Inputs: no named parameters.

dataset_rowLook a row up by an exact keyCInspect

The rows of the Lugtorq dataset where a column equals a value exactly (case-insensitive).

Inputs: value (required), column (required).

dataset_statsSummary statistics for a numeric columnAInspect

count, min, max, mean, median and sum of a numeric column of the Lugtorq dataset (grouping commas and currency are handled; non-numeric rows are excluded and counted).

Inputs: column (required).

dataset_topRank rows by a numeric columnCInspect

The highest (or lowest) rows of the Lugtorq dataset by a numeric column — "which is the most/least X".

Inputs: column (required), limit, ascending.

Tool Schema Changelog

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