reading-plus-ai/mcp-server-data-exploration

Overview

An MCP server for autonomous data exploration on CSV datasets. It analyzes data and produces insights with minimal manual effort. Built in Python.

Best for

Best for
Data analysts and developers seeking quick automated CSV analysis via MCP

Use cases

• Automated data profiling of CSV files
• Quick insight extraction without manual queries
• Integration into MCP-compatible workflows

How to use

Install

python setup.py

Tools exposed

• csv_path
• df_name
• load-csv
• run-script

Tested with

Claude Desktop

Example client config

"mcpServers": {\n  "mcp-server-ds": {\n    "command": "uv",\n    "args": [\n      "--directory",\n      "/Users/username/src/mcp-server-ds",\n      "run",\n      "mcp-server-ds"\n    ]\n  }\n}

Notes

An MCP server for autonomous data exploration on CSV datasets. It analyzes data and produces insights with minimal manual effort. Built in Python.

539 stars on GitHub. Last updated 2025-03-22. Licensed MIT.

Use cases

• Automated data profiling of CSV files
• Quick insight extraction without manual queries
• Integration into MCP-compatible workflows

Pros

• Minimal effort required for users
• Works with standard CSV format
• Open source with community support (539 stars)

Cons

• Limited to CSV file format
• Requires MCP protocol environment
• Insights may require human verification

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.