How do I use DataClaw MCP Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@DataClaw MCP Server analyze this sales.csv for trends" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

🦅 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.