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.
GitHub Stars
0
User Rating
Not Rated
Favorites
0
Views
32
Forks
0
Issues
0
Installation
Difficulty
BeginnerEstimated Time
5-10 minutes
Additional Resources
Author 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.