Quick Data
Facilitates agentic data analysis on JSON and CSV files for AI models like Claude Code.
About
Quick Data is a Model Context Protocol (MCP) server specifically designed to empower AI agents with sophisticated data analysis capabilities over .json and .csv files. It serves as a practical, prompt-focused example for understanding and building powerful MCP servers, emphasizing the strategic integration of Prompts, Tools, and Resources to create reusable agentic workflows. This tool is ideal for developers looking to maximize the value of custom MCP servers and explore optimal codebase architectures for AI-driven applications, allowing AI to read data, perform actions, and follow structured conversation templates.
Key Features
- Supports AI Prompts for structured, reusable agentic workflows
- Enables arbitrary data analysis on .json and .csv files
- Utilizes AI Resources for reading external data sources
- Integrates AI Tools for performing specific actions based on domain use cases
- Leverages Model Context Protocol (MCP) for AI interaction
- 78 GitHub stars
Use Cases
- Building custom AI-driven workflows for data processing and analysis
- Learning and experimenting with Model Context Protocol (MCP) server development
- Performing agentic data analytics on structured data using AI
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