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mcp-data-wrangler: MCP server for Data Wrangling

@shibuiwilliam

代码仓库

关于 mcp-data-wrangler: MCP server for Data Wrangling

暂无概览

#mcp-server#data-wrangler#data-preprocessing

基本信息

分类

数据与分析

许可证

MIT

运行时

python

传输方式

stdio

发布者

shibuiwilliam

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp-server-data-wrangler": {
      "command": "npx",
      "args": [
        "@modelcontextprotocol/inspector",
        "uv",
        "--directory=src/mcp_data_wrangler",
        "run",
        "mcp-data-wrangler"
      ]
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is mcp-data-wrangler?

mcp-data-wrangler is a Model Context Protocol server for data wrangling. It provides a standardized interface for data preprocessing, transformation, and analysis tasks, enabling seamless integration of these operations into the MCP ecosystem.

How to use mcp-data-wrangler?

Clone the repository, then launch the MCP inspector with npx @modelcontextprotocol/inspector uv --directory=src/mcp_data_wrangler run mcp-data-wrangler. Alternatively, add the server to your MCP configuration using the uv command with the --directory argument pointing to the cloned path.

Key features of mcp-data-wrangler

  • Data aggregation
  • Descriptive statistics

Use cases of mcp-data-wrangler

  • Preprocessing data within an MCP-integrated workflow
  • Performing aggregation operations on structured datasets
  • Computing descriptive statistics for data summaries and analysis

FAQ from mcp-data-wrangler

—

评论

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