MCP / AI and media
Kaggle MCP: AI workflows
Kaggle is a platform for data science and machine learning competitions, offering datasets, notebooks, and a collaborative community. Connect it to Claude, Codex, Cursor or any MCP client through one FlyMy.AI MCP.
$ YOUR NEXT RUN
Use Kaggle MCP in your assistant
Paste this prompt into Claude Code, Codex, Cursor or any agent. It reads the guide and helps you connect.
Read https://flymy.ai/skill.md and https://flymy.ai/mcp/kaggle.md. Help me connect Kaggle MCP to this assistant. Then help me run this task: Use Kaggle to competition download files. Ask me for the required inputs first and show the result.
What Kaggle MCP can do
20 actions in the FlyMy.AI catalog, the most used first. Your agent finds them through search_tools and calls the one the task needs.
| Action | What it does |
|---|---|
# KAGGLE_COMPETITION_DOWNLOAD_FILES | Download competition data files. |
# KAGGLE_CONFIG_INIT | Initialize Kaggle API client configuration. |
# KAGGLE_DATASET_CREATE | Create a new Kaggle dataset with full metadata. |
# KAGGLE_DATASET_STATUS | Get the status of a dataset upload or processing job. |
# KAGGLE_DATASET_VERSION | Create a new dataset version on Kaggle. |
# KAGGLE_KAGGLE_COMPETITION_SUBMIT | Submit an entry to a Kaggle competition. |
# KAGGLE_KAGGLE_CONFIG_DIR | Retrieve the directory of the Kaggle API configuration file. |
# KAGGLE_KAGGLE_CONFIG_FILE | Retrieve the filename of the Kaggle API configuration file. |
# KAGGLE_KAGGLE_CONFIG_KEYS | List local Kaggle API configuration keys. |
# KAGGLE_KAGGLE_CONFIG_PATH | Retrieve local Kaggle API configuration file path. |
# KAGGLE_KAGGLE_CONFIG_RESET | Reset local Kaggle CLI configuration to defaults. |
# KAGGLE_KAGGLE_CONFIG_SET | Set a Kaggle CLI configuration parameter. |
Show all 20 actions
| Action | What it does |
|---|---|
# KAGGLE_KAGGLE_CONFIG_UNSET | Unset a Kaggle CLI configuration parameter. |
# KAGGLE_KAGGLE_CONFIG_VIEW | View local Kaggle API configuration. |
# KAGGLE_KAGGLE_DATASET_INIT | Initialize a dataset-metadata.json file in a local folder. |
# KAGGLE_KAGGLE_DATASET_LIST_FILES | List files in a Kaggle dataset. |
# KAGGLE_KAGGLE_KERNEL_INIT | Initialize a kernel-metadata.json file in a local folder. |
# KAGGLE_KAGGLE_KERNEL_OUTPUT | Download the output of a Kaggle kernel. |
# KAGGLE_KERNELS_STATUS | Get the status of a Kaggle kernel run. |
# KAGGLE_LIST_DATASETS | List Kaggle datasets with filters and pagination. |
Ask your agent
Requests to paste as they are. Each one runs on the actions named under it.
KAGGLE_COMPETITION_DOWNLOAD_FILESKAGGLE_CONFIG_INITKAGGLE_DATASET_CREATEConnect Kaggle in a minute
One MCP for every integration. Add it once, then every MCP in the catalog is a request away.
- 01
Add FlyMy.AI
Add the FlyMy.AI MCP to your assistant with one of the commands below and sign in. No key to copy.
- 02
Add your Kaggle API Key
Paste it into the Kaggle connection settings once; it stays with FlyMy.AI, never in a prompt or a chat.
- Kaggle API Key - Your Kaggle API Key. Get this from your Account > API section (downloads as kaggle.json). Get API key →
- 03
Ask
Paste a request from this page. Every run shows what it cost.
claude mcp add --transport http flymyai https://mcp-agents.flymy.ai/mcp
Then run /mcp in Claude Code and sign in.
codex mcp add flymy --url https://mcp-agents.flymy.ai/mcp
Then run codex mcp login flymy to sign in.
https://mcp-agents.flymy.ai/mcp
Settings, Connectors, Add custom connector: paste this URL.
Pay per run
FlyMy.AI bills the run: the model and the tool's seconds. Calls go to your own Kaggle account, under its plan and limits. No seats and no minimum.
Go to the source
From the FlyMy.AI platform catalog of 2026-11-03: name, description, actions and setup as the platform lists them. Examples are requests to paste, not recorded runs.