site
Server Details
Lugtorq: the site's own MCP server — dataset; every answer cites the site.
- Status
- Healthy
- Uptime
- 100.0% over the last 24 hours
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
- ChatGPT
- –
- Claude
- –
TDQS
Scored across 7 tools
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.
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.
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.
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 toolsdataset_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_searchSearch the datasetAInspect
Rows of the Lugtorq dataset whose cells contain the query (case-insensitive), up to 50.
Inputs: query (required), limit.
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
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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