DataClaw is an AI-first Model Context Protocol (MCP) server designed to transform how AI agents interact with CSV data. Unlike traditional tools built for human UIs, DataClaw provides structured, call-ready tools for any MCP-compatible agent (e.g., Claude, GPT) to analyze, query, and audit CSV files, turning raw data into actionable intelligence in seconds. It excels at handling large, messy datasets, allowing agents to quickly extract insights, filter, and perform complex analyses on demand, primarily serving as an MCP server for OpenClaw AI agents.
Key Features
01Handles large datasets (10k+ rows) with high precision
02Turns raw CSV data into actionable intelligence rapidly
03AI-first design for seamless integration with AI agents and LLM workflows
04Exposes structured tools for direct agent calls within conversations
05Analyzes, queries, and audits CSV files without requiring code
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Use Cases
01Enabling AI agents to filter and run complex data analyses on the fly
02Serving as an MCP server for AI agents within OpenClaw platforms
03Extracting insights from large, messy CSV files (e.g., sales data, transactions, logs)
