Transforms natural language queries into structured story datasets by integrating Google Search results into classified Excel files.
The Story Collecting Agent is an AI-powered tool leveraging the Model Context Protocol (MCP) with Claude Desktop to create structured knowledge from user queries. It fetches relevant information using Google Search, processes NLP queries, and organizes the retrieved data into classified Excel spreadsheets locally. This project showcases how MCP-based agents can build effective knowledge pipelines by connecting to external search engines and structured storage solutions, making it ideal for turning unstructured web data into analyzable datasets.
Key Features
01Collects and processes user NLP queries
02Stores results in classified Excel spreadsheets
03Dependency management using uv
040 GitHub stars
05Built with MCP for seamless integration with Claude Desktop
06Fetches relevant information from Google Search
Use Cases
01Building structured datasets from web searches
02Research and analysis requiring classified information from various sources
03Automating the collection of topic-specific stories or articles
