基于 Mcp 架构的 ChatBI,是一种数据分析智能体解决方案
Overview
What is Mcp-ChatBI?
Mcp-ChatBI is a data analysis intelligent agent solution based on the Mcp architecture, designed to address common challenges in data analysis.
How to use Mcp-ChatBI?
To use Mcp-ChatBI, clone the repository from GitHub, configure your environment with Python 3.10 - 3.12, install the required dependencies, and start the API and Gradio interface.
Key features of Mcp-ChatBI?
- Ensures 100% data accuracy using Text2Tools solutions.
- Allows querying multiple metrics in a single conversation through task planning and reasoning capabilities.
- Automates the data analysis process by generating data links and sequentially calling tools for results.
Use cases of Mcp-ChatBI?
- Ensuring accurate data retrieval for business intelligence systems.
- Simplifying complex queries involving multiple metrics.
- Automating data analysis workflows for comparative analysis and multi-dimensional drilling.
FAQ from Mcp-ChatBI?
- How does Mcp-ChatBI ensure data accuracy?
It uses Text2Tools solutions to mitigate the hallucination issues of models like Text2SQL and Text2Code.
- Can I query multiple metrics at once?
Yes! Mcp-ChatBI can automatically decompose queries to retrieve multiple metrics in one conversation.
- Is there a demo available?
Yes! You can view a demonstration here.