List every instance of a Kaggle model by specifying the owner username and model slug.
MIT
205,112 tools. Last updated 2026-06-15 04:06
"Kaggle" matching MCP tools:
- Search Kaggle discussion comments by query, with adjustable page size up to 50.MIT
- Delete a Kaggle model by providing the owner username and model slug. Permanently removes the model from Kaggle.MIT
- Find datasets on Kaggle by entering a search query. This tool uses the Kaggle API to match and retrieve relevant datasets for analysis or machine learning projects.MIT
- Verify that your Kaggle API credentials are properly set up before running Kaggle operations.
- Retrieve a paginated list of your Kaggle notebooks by specifying page number and page size.
Matching MCP Servers
- AlicenseBqualityDmaintenanceA full-featured MCP server for the Kaggle API — competitions, datasets, kernels, models, benchmarks, and discussions.Last updated512MIT
- AlicenseBqualityCmaintenanceIt interacts with the Kaggle API to provide tools for searching and downloading datasets, and a prompt for generating EDA notebooks.Last updated238MIT
- Download and extract any Kaggle dataset by providing the competition ID. Get the data ready for analysis immediately.
- Create a Kaggle notebook by providing title, Python or R code, and configure options like privacy, GPU, internet access, and attached datasets.
- Search Kaggle datasets using a query and optional page number to discover relevant datasets for analysis.
- List Kaggle competitions filtered by group, category, and sorting criteria to find relevant data science challenges.
- Execute a Kaggle notebook programmatically by providing its slug identifier. Automate notebook runs without manual login.
- Detect topic clusters in memory using community detection to understand main themes. Returns labeled clusters with representative nodes and tags.Apache 2.0
- Downloads the full competition leaderboard by providing the competition's URL suffix. Returns a download URL.MIT
- Find top public kernels for a competition, sorted by public score. Extract winning strategies from notebooks ranked by performance.MIT
- Retrieve high-level statistics from the memory graph for health checks or quick summaries, including node/edge counts, node type breakdowns, and recent or highly connected nodes.Apache 2.0
- Retrieve all stored agent, project, and session scope identifiers from the knowledge graph to prepare filters for memory queries.Apache 2.0
- Audit a memory node by inspecting its evidence, validity window, and connected context. Returns the node, evidence records, related nodes, and edges for understanding why a memory exists or how it changed.Apache 2.0
- Import a Markdown vault to sync edited Obsidian notes into your memory graph non-destructively. Returns counts of created, updated, deleted edges, and conflicts.Apache 2.0
- Create a Kaggle dataset by providing file tokens from file_upload. Set owner, slug, title, license, and privacy.MIT
- Review recent changes in the memory graph including added and updated nodes, created edges, and contradiction edges. Use for handoff or audit with a configurable lookback period.Apache 2.0