F
licenseNot graded
qualityA
maintenanceEnables users to query and visualize AWS spend and Amazon Bedrock usage data through natural language, including EC2 and service cost breakdowns and Bedrock usage by region, user, and model.
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quicksight-mcp
by krishna-goje
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TDQS
B3.4/5.0
Scored across 61 tools
Disambiguation4/5
Most tools target a distinct resource+action, and descriptions clarify boundaries well. However, there is real overlap among update_dataset_sql, modify_dataset_sql, and update_dataset_definition, and between add_visual and the create_*_chart helpers; list_visuals vs list_sheet_visuals also blur slightly.
Naming Consistency4/5
The set overwhelmingly follows a snake_case verb_noun convention (get_/list_/add_/delete_/update_). The main deviation is the mix of add_ (add_sheet, add_visual, add_parameter) versus create_ (create_kpi, create_bar_chart, create_dataset) for essentially the same insert semantics, but overall it is readable and predictable.
Tool Count3/5
61 tools is heavy and pushes past the comfortable range, with some granularity that could be consolidated (set_visual_title/set_visual_layout, the seven create_*_chart helpers). The breadth of QuickSight (analyses, datasets, dashboards, sheets, visuals, parameters, filters) justifies much of it, but it is still borderline bloated.
Completeness4/5
Calculated fields, visuals, sheets, parameters, and filters have solid lifecycle coverage, and analyses have backup/restore/clone/publish. Notable gaps remain at the top level: no delete_dataset, delete_analysis, create_analysis, or create/delete_dashboard, and no generic update_visual, which agents must work around.
Maintenance
ActivityInactive
ResponsivenessNo issues