Provides tools for querying, inserting, updating, and deleting tax alert data in a database, dynamically triggered by an AI agent.
Sponsored
The MCP server offers a robust set of tools designed to interact with a tax alert database. These tools, including query, insert, update, delete, and schema_info, enable a conversational AI agent to fetch, modify, or describe tax alert data based on user input. Built with Python and integrated with LangGraph and Google Gemini models, it serves as the backend for an interactive Streamlit chatbot, allowing real-time management of tax-related information.
主要功能
01Conversational interface with Google Gemini 1.5 models
02Query, insert, update, and delete operations on tax alert data
030 GitHub stars
04Tool execution via MCP server
05Real-time responses using SSE or STDIO
06REACT-style reasoning agent via LangGraph
使用案例
01Managing and querying tax alert information through natural language
02Building AI-powered chatbots for database interaction
03Developing dynamic data manipulation applications driven by user intent