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ato-mcp

by Bigred97
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Python
Remote

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Deploy Server
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

A4.3/5.0

Scored across 7 tools

Disambiguation4/5

Each tool has a clear role: discovery, metadata, raw querying, latest observations, top-N ranking, and aggregation. The only minor overlap is between get_data and latest for register-shaped datasets, but the descriptions and examples sufficiently distinguish them.

Naming Consistency4/5

Most tools follow a verb_noun pattern (list_curated, search_datasets, describe_dataset, get_data). The exceptions are latest, top_n, and stats, which are terse noun/adjective-style names, creating a slight inconsistency but not confusion.

Tool Count5/5

Seven tools is well-scoped for a data query server: discovery, schema description, retrieval, and common analytical shortcuts are each represented. No redundant tools and no sign of unnecessary bulk.

Completeness5/5

The tool surface covers the full workflow: finding datasets, understanding their schemas, pulling data, getting recent values, ranking, and aggregating. There are no obvious dead ends for common analytical queries on curated ATO/ACNC data.

Maintenance

ActivitySlowing
ResponsivenessNo issues

Resources