mcp-server-data-exploration

Category: Data Access Integration MCP Servers

Source: GitHub Repository

Description

mcp-server-data-exploration is an open-source MCP server designed for autonomous data exploration of CSV datasets. It enables users to load and analyze CSV files, generating AI-driven insights and analysis through the Model Context Protocol (MCP). The server acts as a personal data scientist assistant, turning complex datasets into actionable insights.

Features

• Interactive Data Exploration: Allows users to interactively explore and analyze CSV datasets using AI-driven prompts.
• Prompt Templates: Includes tailored prompt templates (such as explore-data) for specific data exploration tasks.
• CSV Loading Tool: Provides a load-csv tool to load CSV files into DataFrames for analysis.
  • Arguments:
    • csv_path (required): Path to the CSV file
    • df_name (optional): Custom name for the DataFrame
• Script Execution Tool: Includes a run-script tool for executing custom Python scripts on the data.
  • Argument:
    • script (required): The Python script to execute
• Integration with Claude Desktop: Designed to work seamlessly with Claude Desktop for prompt management and configuration.
• Exploration Topics: Users specify a topic of exploration (e.g., "Weather patterns in New York", "Housing prices in California") for focused analysis.
• Large Dataset Support: Tested on large datasets (millions of entries) such as real estate and weather data.
• Report Generation: Generates exploration summaries and visualizations such as trend graphs and pattern analysis.
• Configurable Server: Supports configuration for both development and published environments.
• Open Source: Licensed under the MIT License and open for community contributions.

Pricing

• Open Source: Free to use under the MIT License.

Tags

data-exploration, csv, ai-insights, mcp