No user-submitted related servers found.
Scored across 51 tools
Every tool has a clear resource prefix (competition_, dataset_, kernel_, model_, discussion_) followed by a distinct action verb. Overlaps are minimal and resolved by descriptions (e.g., dataset_download vs. dataset_download_file). The only minor issue is kernel_output's description being a copy-paste error, but tool names are unambiguous.
All tool names follow a consistent snake_case pattern of resource_prefix + action verb (e.g., competition_get, dataset_create, discussion_comments). No mixing of styles across the entire set.
With 51 tools, this is on the high side for a single MCP server. While each tool serves a specific purpose and the Kaggle API is broad, the number feels heavy, especially with 12+ discussion-related tools. It's borderline but still manageable for an agent.
The tool surface covers nearly all key Kaggle resources: competitions (list, get, submit, leaderboard, data), datasets (full CRUD, versions, downloads), kernels (push, pull, sessions), models (create, delete, instances, versions), discussions (search, list, comments), and file upload. Missing actions (e.g., delete submission/kernel) are minor and uncommon. Very comprehensive.