mcp-dataexploration

Category: Data Analysis & Exploration MCP Servers
Tags: mcp, data-exploration, csv, ai-insights

Project Source

Description

mcp-dataexploration is an MCP server designed for autonomous data exploration on CSV-based datasets, offering intelligent insights with minimal user effort. It functions as a virtual data scientist assistant, transforming complex datasets into actionable insights.

Features

• CSV Data Exploration: Load and analyze CSV datasets interactively.
• Autonomous Analysis: Generates insights without requiring manual data analysis.
• Prompt Templates: Includes an explore-data prompt tailored for data exploration tasks.
• Tool Integration:
  • load-csv: Load CSV files into DataFrames with custom or default names.
  • run-script: Execute Python scripts on the data.
• Platform Integration: Compatible with Claude Desktop for interactive use.
• Custom Configuration:
  • Supports configuration on macOS and Windows.
  • Allows for development and publishing of custom MCP servers.
• Scalability: Demonstrated on large datasets (e.g., millions of entries from Kaggle datasets).
• Graph Generation: Supports the generation of trend and relationship graphs from data.
• Open Source: Licensed under MIT, open to contributions from the community.

Installation & Usage

• Install via Python setup script.
• Load prompt templates and tools in Claude Desktop.
• Provide required inputs: local CSV file path and topic of exploration.
• Start data exploration using the provided prompts.

Development

• Sync dependencies, build, and publish distributions using uv commands.
• Contribute via GitHub (issues, features, documentation).

Pricing

No pricing information provided. The project is open source under the MIT License.