BI Chart MCP Server
B

BI Chart MCP Server

This project is a BI chart MCP service implemented in Python for data visualization, including data loading, processing, and rendering modules.
2.5 points
6.7K

What is the BI Chart MCP Server?

The BI Chart MCP Server is a visualization service specifically designed for business intelligence charts. It can load and process data and generate interactive charts through visualization engines such as Vega - Lite.

How to use the BI Chart MCP Server?

Start the service through simple installation steps and running commands, and then interact with the server through the API or front - end interface to generate visualization charts.

Applicable scenarios

Suitable for scenarios that require rapid construction of data visualization dashboards, business intelligence reports, and data exploration and analysis.

Main features

Data loading
Supports loading data from multiple data sources, including CSV, JSON, and databases
Data processing
Provides data cleaning, transformation, and aggregation functions
Visualization rendering
Based on the Vega - Lite chart rendering engine, supporting multiple chart types
Resource management
Efficient memory and cache management mechanism
Advantages
Migrating from TypeScript to Python improves development efficiency and maintainability
Modular design, easy to expand new functions
Supports multiple data formats and visualization types
Provides complete test coverage
Limitations
Currently only supports Vega - Lite as the visualization engine
The performance of large - scale data processing needs to be optimized
Requires a Python environment to run

How to use

Installation preparation
Clone the repository and create a virtual environment
Install dependencies
Install all necessary Python packages
Start the server
Start the server through a script or by directly running the module
Access the service
Interact with the server through the API or front - end interface

Usage examples

Sales data visualization
Visualize monthly sales data as an interactive bar chart
User behavior analysis
Create a heatmap of user behavior events

Frequently Asked Questions

Why migrate from TypeScript to Python?
How to add a new visualization type?
What if the server fails to start?
What data formats are supported?

Related resources

Project repository
Source code and issue tracking
Vega - Lite documentation
Visualization syntax reference
Python virtual environment guide
Official Python virtual environment tutorial
Contribution guide
How to contribute code to the project

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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