A
licenseNot graded
qualityC
maintenanceMCP server providing data tools for AI agents (agentkit-data-mcp).
MIT
Algenta
Officialby thyn-ai
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TDQS
A4.4/5.0
Scored across 140 tools
Disambiguation5/5
Each tool has a uniquely defined purpose with detailed descriptions, and overlapping tools (e.g., simulate vs compare vs recommend) are clearly differentiated by usage guidance and distinct output contracts. The use of prefixes like preview_ and product_ further disambiguates inline vs saved operations and simple vs advanced variants.
Naming Consistency5/5
Tool names consistently follow a verb_noun snake_case pattern (create_, get_, list_, update_, delete_, test_, etc.), with special prefixes like product_ and preview_ applied uniformly. There are no mixed conventions or camelCase names.
Tool Count2/5
With 140 tools, this server vastly exceeds the typical well-scoped range of 3-15 tools. While the breadth reflects a multi-domain platform, the extreme count makes it impractical for an agent to efficiently discover and select the correct tool, increasing cognitive load and risk of misselection.
Completeness5/5
The tool surface provides full CRUD and lifecycle coverage across all major domains: simulation, data connectors, datasets, agent runs, capabilities, repository intelligence, triggers, admin, billing, audit, models, and runtime libraries. Every domain includes creation, retrieval, listing, update/delete, and often testing or simulation tools, leaving no obvious gaps.
Maintenance
ActivityActive
ResponsivenessUnresponsive