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Mcp-ChatBI

@dynamiclu

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?

  1. Ensuring accurate data retrieval for business intelligence systems.
  2. Simplifying complex queries involving multiple metrics.
  3. 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.

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