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Kaggle-MCP

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Kaggle-MCP：Claude AI 的 Kaggle API 集成

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Kaggle-MCP通过模型上下文协议（MCP）将Claude AI连接到Kaggle API，从而通过AI接口实现竞赛、数据集和内核操作。

特征

  • 身份验证：使用您的 Kaggle 凭证进行安全身份验证

  • 竞赛：浏览、搜索和下载 Kaggle 竞赛数据

  • 数据集：从 Kaggle 查找、探索和下载数据集

  • 内核：搜索并分析 Kaggle 笔记本/内核

  • 模型：访问 Kaggle 上提供的预训练模型

Related MCP server: SketchupMCP

快速安装

以下命令安装 Kaggle-MCP 的基础版本。

macOS / Linux

# Install with a single command
curl -LsSf https://raw.githubusercontent.com/54yyyu/kaggle-mcp/main/install.sh | sh

视窗

# Download and run the installer
powershell -c "Invoke-WebRequest -Uri https://raw.githubusercontent.com/54yyyu/kaggle-mcp/main/install.ps1 -OutFile install.ps1; .\install.ps1"

手动安装

# Install with pip
pip install git+https://github.com/54yyyu/kaggle-mcp.git

# Or better, install with uv
uv pip install git+https://github.com/54yyyu/kaggle-mcp.git

配置

安装完成后，运行安装实用程序来配置 Claude Desktop：

kaggle-mcp-setup

这将找到并更新您的 Claude Desktop 配置文件，该文件通常位于：

  • macOS： ~/Library/Application Support/Claude/claude_desktop_config.json

  • Windows： %APPDATA%\Claude\claude_desktop_config.json

  • Linux： ~/.config/Claude/claude_desktop_config.json

手动配置

或者，您可以手动将以下内容添加到 Claude Desktop 配置中：

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

Kaggle API 凭证

要使用 Kaggle-MCP，您需要设置您的 Kaggle API 凭证：

  1. 转到您的Kaggle 帐户设置

  2. 在 API 部分，单击“创建新的 API 令牌”

  3. 这将下载包含您的凭据的kaggle.json文件

  4. 将此文件移动到~/.kaggle/kaggle.json （如果需要，创建目录）

  5. 设置正确的权限： chmod 600 ~/.kaggle/kaggle.json

或者，您可以使用您的用户名和 API 密钥通过 Claude 使用authenticate()工具直接进行身份验证。

可用工具

有关可用工具的完整列表及其详细用法，请参阅stevenyuyy.us/kaggle-mcp上的文档。

示例

问克劳德：

  • “使用我的用户名‘username’和密钥‘apikey’向 Kaggle 进行身份验证”

  • “列出活跃的 Kaggle 比赛”

  • “显示泰坦尼克号排行榜上排名前十的选手”

  • “查找有关气候变化的数据集”

  • “下载波士顿住房数据集”

  • “搜索有关情绪分析的内核”

用例

  • 竞赛研究：快速访问竞赛详情、数据和排行榜

  • 数据集发现：查找和下载用于分析项目的数据集

  • 学习资源：查找特定主题的相关内核和笔记本

  • 模型发现：查找用于各种机器学习任务的预训练模型

要求

  • Python 3.8 或更高版本

  • Claude 桌面或 API 访问

  • 具有 API 凭证的 Kaggle 帐户

  • MCP Python SDK 1.6.0+

执照

该项目根据 MIT 许可证获得许可 - 有关详细信息，请参阅 LICENSE 文件。

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