nft-analytics-mcp

by kukapay

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Python

Remote

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TDQS

A3.5/5.0

Scored 2026-04-18 09:46 across 5 tools

Disambiguation4/5

Most tools have distinct purposes focused on different NFT analytics metrics (average price, daily sales, trading volume, new owners, unique traders), but get_daily_sales_by_collection and get_daily_trading_volume_by_collection could potentially be confused as both relate to daily collection-level activity. The descriptions help clarify, but there's some overlap in their temporal and collection focus.

Naming Consistency5/5

All tools follow a consistent verb_noun_by_collection pattern (get_average_price_by_collection, get_daily_sales_by_collection, etc.), with the exception of get_new_owners which omits 'by_collection' but maintains the same verb_noun structure. This minor deviation doesn't break the overall consistency, making the naming highly predictable and readable.

Tool Count4/5

With 5 tools, the count is reasonable for an NFT analytics server, covering key metrics without being overwhelming. However, it feels slightly thin for a comprehensive analytics suite, as it lacks tools for broader analysis like trends over time or cross-collection comparisons, but it's well within an appropriate range for its focused scope.

Completeness3/5

The toolset covers several important NFT analytics metrics (price, sales, volume, owners, traders), but there are notable gaps. It lacks tools for updating or managing data, historical trend analysis, or filtering by specific parameters beyond collections, which limits the depth of analysis an agent can perform. The surface is functional but incomplete for advanced analytics workflows.