CSV Analytics

v1.0.4Data Science & MLstable

A spreadsheet and CSV analysis toolkit for AI agents that enables loading CSV files, filtering and querying data, computing statistics, creating aggregations, building pivot tables, and exporting chart-ready data using pandas.

csv-analytics-mcp-servermcpai-integration
Share:
0
Stars
0
Downloads
0
Weekly
0/5

What is CSV Analytics?

CSV Analytics is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to spreadsheet and csv analysis toolkit for ai agents that enables loading csv files, filtering and querying data, computing statistics, creating aggregations, building pivot tables, and exporting chart-...

A spreadsheet and CSV analysis toolkit for AI agents that enables loading CSV files, filtering and querying data, computing statistics, creating aggregations, building pivot tables, and exporting chart-ready data using pandas.

This server falls under the Data Science & ML and Search & Data Extraction categories on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • A spreadsheet and CSV analysis toolkit for AI agents that en

Use Cases

Load, filter, and query CSV data using pandas-powered analysis. Compute statistics, create aggregations, and build pivot tables. Generate chart-ready data exports.
CSOAI-ORG

Maintainer

LicenseMIT License
Languagepython
Versionv1.0.4
UpdatedMay 7, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

PIP

pip install csv-analytics-mcp

Manual Installation

pip install csv-analytics-mcp

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about CSV Analytics

What is CSV Analytics?

CSV Analytics is a Model Context Protocol (MCP) server that spreadsheet and csv analysis toolkit for ai agents that enables loading csv files, filtering and querying data, computing statistics, creating aggregations, building pivot tables, and exporting chart-ready data using pandas. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install CSV Analytics?

Install via pip with: pip install csv-analytics-mcp. Then configure your AI client to connect to this MCP server.

Which AI clients work with CSV Analytics?

CSV Analytics works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is CSV Analytics free to use?

Yes, CSV Analytics is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.

Browse More Data Science & ML MCP Servers

Explore all data science & ml servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "csv-analytics-mcp-server": { "command": "pip", "args": ["install", "csv-analytics-mcp"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

Ready to use CSV Analytics?

Browse our complete directory of 33,000+ MCP servers, read setup guides for your editor, and start building with the Model Context Protocol.

33,000+ ServersFree & Open SourceStep-by-Step Guides