agentic_trend_comparison
This project provides a set of agentic tools for analyzing global air quality data. Utilizing a Kaggle dataset, it visualizes pollution trends for various cities. Built on the FastMCP framework, it allows programmatic interaction with the tools.
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Jupyter NotebookPrimary Language
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No specific requirements are documented
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MaintainedAuthor Information
Related MCPs
VecMed-MCP
1
VecMed-MCP is a Jupyter Notebook project aimed at establishing a Milvus vector database. It includes functionalities for setting up the database schema, downloading PubMed data, testing search functionalities, and experimenting with summarizing search results. The use of Docker simplifies the environment setup, making data management efficient.