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by AswinKumar1 • Uncategorized
An MCP-based agent that collects user NLP queries, fetches relevant stories via Google Search, and organizes them into classified Excel files.
Collect and process user NLP queries for knowledge extraction.
Integrate with Google Search to fetch relevant external information.
Organize and store collected data in classified Excel formats for analysis.
Story Collecting Agent is an AI-powered tool built using the Model Context Protocol (MCP) integrated with Claude Desktop. It processes user natural language queries, enriches them with Google Search results, and classifies the retrieved stories into structured Excel spreadsheets for easy analysis. This project showcases how MCP agents can be combined with search engines and structured storage to build efficient knowledge pipelines.