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MCP Server for Data Exploration

@reading-plus-ai

リポジトリ

MCP Server for Data Exploration について

概要はまだありません

基本情報

カテゴリ

データと分析

ライセンス

MIT

ランタイム

python

トランスポート

stdio

公開者

reading-plus-ai

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "mcp-server-data-exploration": {
      "command": "python",
      "args": [
        "setup.py"
      ]
    }
  }
}

ツール

4

Loads a CSV file into a DataFrame

`csv_path` (string, required): Path to the CSV file

Executes a Python script

`script` (string, required): The script to execute

概要

What is MCP Server for Data Exploration?

MCP Server for Data Exploration is a tool that acts as a personal Data Scientist assistant, turning complex datasets into actionable insights. It integrates with Claude Desktop via the Model Context Protocol and is designed for interactive data exploration.

How to use MCP Server for Data Exploration?

Download Claude Desktop, then run python setup.py on macOS. After the server loads, select the explore-data prompt template and provide a local CSV file path and a topic of exploration. Configure the server in Claude Desktop’s claude_desktop_config.json using the provided mcpServers block.

Key features of MCP Server for Data Exploration

  • Pre-built explore-data prompt template for data exploration.
  • Tools to load CSV files and execute Python scripts.
  • Handles large datasets (e.g., 2.2 million entries, 178.9 MB).
  • Generates visualizations and summary reports.
  • Open source under the MIT License.
  • Contributed by ReadingPlus.AI LLC.

Use cases of MCP Server for Data Exploration

  • Analyze real estate listing prices trends in a specific state.
  • Explore historical weather patterns and seasonal relationships.
  • Load any local CSV and run custom Python analysis scripts.

FAQ from MCP Server for Data Exploration

What dependencies are required?

Claude Desktop and Python are needed. On macOS, run python setup.py to install.

How do I configure MCP Server for Data Exploration?

Edit the Claude Desktop config file (claude_desktop_config.json) with the command and arguments shown in the README for either development or published servers.

Can I use my own CSV files?

Yes, provide the local path to any CSV file as the csv_path argument when using the explore-data prompt.

What tools does the server provide?

It provides load-csv to load a CSV into a DataFrame and run-script to execute arbitrary Python scripts.

Is authentication or network access required?

No authentication is mentioned; data stays local on your machine and the server communicates locally with Claude Desktop via the MCP stdio transport.

コメント

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