# Kaggle MCP Server

> Kaggle MCP Server — mtrakretech-kaggle-mcp. Use this tool when you need to manage datasets, competitions, and models on Kaggle's platform, or interact with kernels, forums, and benchmarks. It solves problems related to data science workflow automation, model deployment, and community engagement through 68 MCP tools. The tool accepts various inputs such as dataset and model configurations, and outputs include competition results, model performance metrics, and community feedback.

Canonical page: https://skillsregistry.net/skills/mtrakretech-kaggle-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mtrakretech-kaggle-mcp

## Description

Enables AI agents to interact with Kaggle's platform for managing datasets, competitions, kernels, models, forums, and benchmarks via 68 MCP tools.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/k3apn8acxu)
- **Repository:** <https://github.com/mtrakretech/kaggle-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "mtrakretech-kaggle-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mtrakretech-kaggle-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mtrakretech-kaggle-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt