CSV Analytics
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.
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
Maintainer
Works with
Installation
PIP
pip install csv-analytics-mcpManual Installation
pip install csv-analytics-mcpConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
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.
CSV Analytics Alternatives — Similar Data Science & ML Servers
Looking for alternatives to CSV Analytics? Here are other popular data science & ml servers you can use with Claude, Cursor, and VS Code.
Ultrarag
★ 5.6kA Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines
RocketRide
★ 3.1k📇 🏠 - MCP server that exposes RocketRide AI pipelines as t
Aix Db
★ 2.1kAix-DB 基于 LangChain/LangGraph 框架,结合 MCP Skills 多智能体协作架构,实现自然语言到数据洞察的端到端转换。
NeMo Data Designer
★ 1.9k🎨 NeMo Data Designer: Generate high-quality synthetic data from scratch or from seed data.
PaperBanana
★ 1.7kOpen source implementation and extension of Google Research’s PaperBanana for automated academic figures, diagrams, and research visuals, expanded to new domains like slide generation.
MiniMax
★ 1.5kBridges MiniMax AI capabilities to the Model Context Protocol, enabling AI agents to perform image understanding, text-to-image generation, and speech synthesis. It provides a standardized interface for accessing MiniMax's core tools via JSON-RPC.
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.
Set Up CSV Analytics in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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.