DataClaw MCP Server
AI-first CSV analysis tool that enables AI agents to analyze, query, and audit large CSV files directly within conversations, turning raw data into actionable insights.
README
🦅 DataClaw MCP Server
AI-First CSV Analysis Tool — built as an MCP server for AI agents and LLM-powered workflows.
Designed to handle large datasets (10k+ rows) with surgical precision.
🧠 What is DataClaw?
DataClaw is a Model Context Protocol (MCP) server that gives AI agents the ability to analyze, query, and audit CSV files without writing a single line of code.
It was built with an AI-first philosophy: instead of dashboards or notebooks, DataClaw exposes structured tools that any MCP-compatible agent (Claude, GPT, custom agents) can call directly inside a conversation — turning raw CSV data into actionable intelligence in seconds.
🎯 Purpose
Most CSV analysis tools are built for humans clicking around a UI.
DataClaw is built for AI agents doing the thinking.
The core use case: you have a large, messy CSV file — sales data, transactions, logs — and you need answers fast. DataClaw gives agents the ability to quickly extract insights, filter data, and run complex analyses on the fly.
Main Objective: The main goal of this project is to serve as an MCP server for AI agents, specifically for use in OpenClaw.
🚀 Project Status & Roadmap
- Current Phase: 🧪 Testing (Phase 2) - The project is currently undergoing active testing and validation.
- Next Steps: Upon successful validation, DataClaw will be officially published and made accessible to all OpenClaw AI agents.
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