Is Kaggle Mcp Server safe to install?

SaferSkills independently audited Kaggle Mcp Server (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.

CategoryWeightCategory scoreContribution

Securityprompt, exec, net, exfil, eval

35%

100

35.0 pts

Supply chainhash, typosquat, maintainer, lockfile

20%

100

20.0 pts

Maintenancestaleness, pinning, CI

15%

100

15.0 pts

TransparencySKILL.md, perms, README

15%

100

15.0 pts

Communityinstalls, verify, response

15%

100

15.0 pts

Findings & checks · 0 flagged

Securityscore 100 · 0 findings

✓—All security checks passedNo findings in this category for the latest scan.pass

Supply chainscore 100 · 0 findings

✓—All supply chain checks passedNo findings in this category for the latest scan.pass

Maintenancescore 100 · 0 findings

✓—All maintenance checks passedNo findings in this category for the latest scan.pass

Transparencyscore 100 · 0 findings

✓—All transparency checks passedNo findings in this category for the latest scan.pass

Communityscore 100 · 0 findings

✓—All community checks passedNo findings in this category for the latest scan.pass

The primary manifest — the file an agent reads to learn what this artifact does.

README.md · 1 file

README.md6.9 KB · Markdown

Kaggle MCP Server

A full-featured Model Context Protocol (MCP) server for the Kaggle API — 96 tools across competitions, datasets, kernels, models, benchmarks, discussions, and workflow utilities.

Installation

pip install kaggle-mcp-server

Prerequisites

Kaggle API credentials — place your kaggle.json at ~/.kaggle/kaggle.json:

{"username":"YOUR_USERNAME","key":"YOUR_API_KEY"}

Get your API key from kaggle.com/settings → "Create New Token".

Python 3.12+

Usage

With Cursor IDE

Add to .cursor/mcp.json:

{
  "mcpServers": {
    "kaggle": {
      "command": "kaggle-mcp-server"
    }
  }
}

With Claude Desktop

Add to your Claude Desktop config:

{
  "mcpServers": {
    "kaggle": {
      "command": "kaggle-mcp-server"
    }
  }
}

Standalone

kaggle-mcp-server

Tools (96 total)

Competitions (16 tools)

Tool	Description
`competitions_list`	Search and list competitions
`competition_get`	Get detailed competition info
`competition_files`	List competition data files
`competition_tree_files`	Hierarchical tree view of competition data
`competition_download`	Download competition data (returns URL)
`competition_download_single_file`	Download a single competition file locally
`competition_submit`	Submit predictions via blob token
`submit_local_file`	Submit a local prediction file
`submit_code_competition`	Submit to code competitions
`competition_submissions`	View submission history
`competition_get_submission`	Get single submission details
`submission_score`	Get/poll submission score
`competition_leaderboard`	View top 20 leaderboard
`competition_leaderboard_download`	Download full leaderboard
`leaderboard_position`	Find a team/user's rank
`competition_data_summary`	Get data files summary

Competition Workflow (5 tools)

Tool	Description
`setup_comp`	Download and extract competition data locally
`competition_full_setup`	One-shot setup: info + download + preview
`upcoming_deadlines`	Show competitions with closest deadlines
`my_competitions`	List competitions you've entered
`competition_top_kernels`	Top public notebooks for a competition

Datasets (20 tools)

Tool	Description
`datasets_list`	Search and list datasets
`dataset_get`	Get full dataset info
`dataset_files`	List files in a dataset
`dataset_tree_files`	Hierarchical tree view of dataset files
`dataset_files_summary`	Get file count and total size
`dataset_download`	Download dataset (returns URL)
`dataset_download_file`	Download a single dataset file
`download_dataset_local`	Download and extract dataset locally
`dataset_metadata`	Get dataset metadata
`dataset_update_metadata`	Update title/description/license
`dataset_create`	Create dataset via blob tokens
`create_dataset_from_files`	Create dataset from local directory
`dataset_create_version`	Create new version via tokens
`push_dataset_version`	Push new version from local directory
`dataset_delete`	Delete a dataset
`dataset_status`	Check dataset processing status
`file_upload`	Upload file and get blob token
`my_datasets`	List your datasets
`datasets_by_user`	List datasets by a specific user
`check_dataset_exists`	Check if a dataset exists

Kernels / Notebooks (15 tools)

Tool	Description
`kernels_list`	Search and list notebooks
`kernel_pull`	Get notebook source code
`kernel_push`	Push/save a notebook
`push_notebook_file`	Push local .ipynb to Kaggle
`kernel_output`	Download kernel output (URL)
`kernel_download_output_zip`	Download kernel output locally
`kernel_status`	Check kernel execution status
`kernel_files`	List kernel files
`kernel_delete`	Delete a kernel
`kernel_initialize`	Initialize kernel template locally
`kernel_session_create`	Create interactive session
`kernel_session_status`	Get session status
`kernel_session_output`	List session output files
`kernel_session_cancel`	Cancel running session
`generate_notebook_metadata`	Generate kernel-metadata.json

Models (16 tools)

Tool	Description
`models_list`	Search and list models
`model_get`	Get model details
`model_create`	Create a new model
`model_update`	Update model info
`model_delete`	Delete a model
`model_metrics`	Get model performance metrics
`model_instances_list`	List model instances
`model_instance_get`	Get instance details
`model_instance_create`	Create a new instance
`model_instance_delete`	Delete an instance
`model_instance_files`	List instance files
`model_instance_versions`	List instance versions
`model_instance_version_create`	Create new version
`model_instance_version_download`	Download version files
`model_instance_version_files`	List version files
`model_instance_version_delete`	Delete a version

Discussions (10 tools)

Tool	Description
`discussions_search`	Search discussions
`discussions_list`	List discussions for competition/dataset
`discussion_detail`	Get discussion content
`discussion_comments`	Get discussion comments
`discussion_comments_search`	Search across all comments
`discussions_by_source`	Browse by source type
`discussions_solutions`	Browse competition solutions
`discussions_writeups`	Browse write-ups by type
`discussions_trending`	Browse trending discussions
`discussions_my`	List your discussions

Benchmarks (1 tool)

Tool	Description
`benchmark_leaderboard`	Get benchmark leaderboard

Data Preview & Analysis (4 tools)

Tool	Description
`preview_csv`	Preview first N rows of a CSV
`preview_data_file`	Preview any text data file
`csv_column_analysis`	Analyze column types and stats
`compare_csvs`	Diff two CSV files

Workflow Utilities (9 tools)

Tool	Description
`generate_starter_notebook`	Auto-generate competition starter notebook
`search_everything`	Unified search across competitions, datasets, notebooks
`list_local_files`	List local files with sizes
`track_operation`	Monitor long-running Kaggle operations
`download_pip_library`	Download pip wheels for offline use
`download_pip_requirements`	Download requirements.txt wheels
`create_library_dataset`	Upload pip library as Kaggle dataset
`create_requirements_dataset`	Upload requirements as Kaggle dataset
`get_local_library_version`	Check local wheel version

License

MIT

Kaggle Mcp Server— agent skill

Is Kaggle Mcp Server safe to install?

Kaggle MCP Server

Installation

Prerequisites

Usage

With Cursor IDE

With Claude Desktop

Standalone

Tools (96 total)

Competitions (16 tools)

Competition Workflow (5 tools)

Datasets (20 tools)

Kernels / Notebooks (15 tools)

Models (16 tools)

Discussions (10 tools)

Benchmarks (1 tool)

Data Preview & Analysis (4 tools)

Workflow Utilities (9 tools)

License

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