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Kaggle MCP Server

by seif-sameh Your server? Claim it
local only

Kaggle MCP runs on your own machine — the client starts it, so there is no endpoint to ping. 78 installs a week from pypi. Last commit 12 Jun 2026.

MCP server for the Kaggle API: competitions, datasets, kernels, and models.

Installs per day peak 34 · avg 15 · -28% w/w
a month agotoday
78
Installs / week
pypi · mcp-server-kaggle
0
Stars
1 open issue
12 Jun 2026
Last commit
from GitHub
MIT
License
Python

What the code does

We read the source, 3 d ago · rules 995398eba69f

Capabilities

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.

This code can reach further than it looks

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.

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Connect this server

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.

run in your terminal
claude mcp add Kaggle-mcp -e 'KAGGLE_USERNAME=<KAGGLE_USERNAME>' -e 'KAGGLE_API_KEY=<KAGGLE_API_KEY>' -- uvx mcp-server-kaggle
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "Kaggle-mcp": {
      "command": "uvx",
      "args": [
        "mcp-server-kaggle"
      ],
      "env": {
        "KAGGLE_API_KEY": "<KAGGLE_API_KEY>",
        "KAGGLE_USERNAME": "<KAGGLE_USERNAME>"
      }
    }
  }
}
~/.codex/config.toml
[mcp_servers.Kaggle-mcp]
command = "uvx"
args = ["mcp-server-kaggle"]
env = { KAGGLE_USERNAME = "<KAGGLE_USERNAME>", KAGGLE_API_KEY = "<KAGGLE_API_KEY>" }
.cursor/mcp.json
{
  "mcpServers": {
    "Kaggle-mcp": {
      "command": "uvx",
      "args": [
        "mcp-server-kaggle"
      ],
      "env": {
        "KAGGLE_API_KEY": "<KAGGLE_API_KEY>",
        "KAGGLE_USERNAME": "<KAGGLE_USERNAME>"
      }
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "Kaggle-mcp": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "mcp-server-kaggle"
      ],
      "env": {
        "KAGGLE_API_KEY": "<KAGGLE_API_KEY>",
        "KAGGLE_USERNAME": "<KAGGLE_USERNAME>"
      }
    }
  }
}

Put your own values in place of <KAGGLE_USERNAME> (Your Kaggle account username), <KAGGLE_API_KEY> (Your Kaggle API key (from https://www.kaggle.com/account)). The author’s registry entry marks them as required.

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Kaggle MCP — questions

Answers built from our own checks of this server.

Why is there no uptime for Kaggle MCP?
Kaggle MCP runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the pypi package mcp-server-kaggle was installed 78 times last week.
How do I connect Kaggle MCP?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It runs locally, so the command pulls mcp-server-kaggle straight from pypi; nothing to host, nothing to sign up for.
How many people use Kaggle MCP?
The pypi package mcp-server-kaggle was installed 78 times in the last week. Week over week that is -28%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is Kaggle MCP open source?
Yes — it is published under the MIT licence, written in Python, 0 stars on GitHub and 1 open issue. The source link is on this page, so you can read exactly what it does with your data before you connect it.