Kaggle MCP runs on your own machine — the client starts it, so there is no endpoint to ping. 84 installs a week from pypi. Last commit 12 Jun 2026.
MCP server for the Kaggle API: competitions, datasets, kernels, and models.
We read the source, 18 h ago · rules 3dff92dd89df
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
abs_path = os.path.abspath(os.path.join(path, pulled_file))
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add Kaggle-mcp -- uvx mcp-server-kaggle
{
"mcpServers": {
"Kaggle-mcp": {
"args": [
"mcp-server-kaggle"
],
"command": "uvx"
}
}
}
[mcp_servers.Kaggle-mcp]
command = "uvx"
args = ["mcp-server-kaggle"]
{
"mcpServers": {
"Kaggle-mcp": {
"args": [
"mcp-server-kaggle"
],
"command": "uvx"
}
}
}
{
"mcpServers": {
"Kaggle-mcp": {
"args": [
"mcp-server-kaggle"
],
"command": "uvx"
}
}
}
This one needs environment variables set before it will start:
KAGGLE_USERNAME (Your Kaggle account username), KAGGLE_API_KEY (Your Kaggle API key (from https://www.kaggle.com/account)).
The author declared them in the registry entry; get the values from the project itself.
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Answers built from our own checks of this server.