A
licenseNot graded
qualityD
maintenanceA full-featured MCP server with 96 tools for the Kaggle API, enabling users to manage competitions, datasets, notebooks, models, discussions, and workflows via natural language.
MIT
Kaggle MCP Server
by mtrakretech
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TDQS
C2.6/5.0
Scored across 68 tools
Disambiguation3/5
The verb_noun structure separates most actions, but several pairs blur together: kernel_files/kernel_output, dataset_details/get_dataset_metadata, model_details/get_model_instance, and get_quota/get_account_info all require close reading. The many model/instance/version lifecycle variants are easy to misselect without careful attention to the resource level.
Naming Consistency4/5
Tool names mostly follow a consistent snake_case verb_noun convention (list_, create_, update_, delete_, download_, init_). Minor inconsistencies exist: kernel and notebook are used interchangeably for the same resource, competition_leaderboard and dataset_details lack a verb, and update_dataset means 'new version' while update_model means metadata-only update.
Tool Count1/5
68 tools is far beyond a reasonable MCP surface and exceeds the 50+ threshold for an extreme count. While the tools cover distinct Kaggle domains, the server would be much more usable split into separate dataset, kernel, competition, and model servers.
Completeness5/5
The tool surface is exhaustive across Kaggle's main workflows: dataset, kernel, and model CRUD/lifecycle operations, competition submission flows, discussion forums, and account/quota information. Core workflows have no obvious dead ends, and the high count is largely due to genuinely broad domain coverage.
Maintenance
ActivityStale
ResponsivenessNo issues