MCP Server for Data Exploration
@MCP-Mirror
About MCP Server for Data Exploration
Mirror of
Basic information
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"reading-plus-ai_mcp-server-data-exploration": {
"command": "python",
"args": [
"setup.py"
]
}
}
}Tools
4Loads 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
Overview
What is MCP Server for Data Exploration?
MCP Server for Data Exploration is a versatile tool designed for interactive data exploration, acting as a personal Data Scientist assistant that turns complex datasets into clear, actionable insights. It is built for use with Claude Desktop.
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 the required inputs: a local file path for csv_path and a topic for exploration.
Key features of MCP Server for Data Exploration?
explore-dataprompt tailored for data explorationload-csvtool loads CSV files into a DataFramerun-scripttool executes arbitrary Python scripts- Supports datasets with millions of entries
- Open source under the MIT License
Use cases of MCP Server for Data Exploration?
- Analyze California real estate listing prices from a 178.9 MB CSV
- Explore weather patterns in London using a 169.3 MB dataset
- Generate visualizations such as temperature trends and seasonal relationships
FAQ from M
More Data & Analytics MCP servers
Bright Data MCP
brightdataA powerful Model Context Protocol (MCP) server that provides an all-in-one solution for public web access.
PubMed Analysis MCP Server
DarkroasterA PubMed MCP server.
MCP Deep Web Research Server (v0.3.0)
qpd-vEnhanced MCP server for deep web research
Web3 Research MCP
aaronjmarsDeep Research for crypto - free & fully local
Google Analytics MCP Server
surendranbGoogle Analytics 4 data to AI agents, agentic workflows, and MCP clients. Give agents analysis-ready access to website traffic, user behavior, and performance data with schema discovery, server-side aggregation, and safe defaults that reduce data wrangling.
Comments