MCP Server for Data Exploration

@reading-plus-ai

代码仓库

基本信息

分类

数据与分析

许可证

MIT

传输方式

stdio

作者

reading-plus-ai

关于 MCP Server for Data Exploration

暂无概览

MCP Server for Data Exploration 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-exploration": {
      "command": "python",
      "args": [
        "setup.py"
      ]
    }
  }
}

MCP Server for Data Exploration 工具

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

概览

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.

常见问题

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.

数据与分析分类下的更多 MCP 服务器

Tracetify — Competitor Ads, Growth Traces & Search Console

tracetify

17 tools for marketing and SEO research inside Claude Code, Cursor, Codex or ChatGPT: the ads any domain runs on Meta and Google, how a product grew from 12 public sources with every claim linked, your own Search Console

Mentio

Social listening for AI agents. Mentio's remote MCP server lets Claude, Cursor, Codex, VS Code and any MCP client search and triage every mention of your brand, competitors and topics across 16 platforms: Reddit, X, Hack

TikTok MCP Server

HasData

Hosted TikTok MCP server for AI agents: read public profiles, account videos, comments and replies, or search videos and creators. Structured JSON for creator research and content analysis.

Ultimate Web Scraper

Extract products, prices, images and reviews from any page in one click — or connect your AI agent and let it do the scraping for you. Works great for: - Ecommerce: extract every product from a Shopify, WooCommerce or

Subtext

Subtext by Fullstory

Session replay, built for agents. Subtext is agentic session review: it captures production sessions of your app and connects them to your coding agent — Claude Code, Cursor, Codex, Devin, your own harness — so it can