How do I install BI Chart?

Copy the stdio config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.

Does BI Chart need an API key?

No required environment variable is listed on this record.

What transport does BI Chart use?

BI Chart runs locally over stdio.

Servidor MCP BI Chart

Q: When was BI Chart last checked?

Last checked 2026-10-28. An MCP (Model Context Protocol) server for data transformation and BI charts will allow AI assistants to connect to your data sources, transform data, and generate high-quality visualizations through natural language requests.

Potencia tu agente

Añadir este servidor

Install from the publisher. Not a PlugMCP endpoint.

Ejecutar en PlugMCP

Host a copy with our keys and logs.

No packaged release in the registry yet. Follow the repository README.

RepositoryPublisher installStep-by-step: add this in Claude

Remote URL or a command on your machine? How the two installs differ

Ejecutar en PlugMCP

Host a copy with our keys and logs.

A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.

Abrir

Server facts

Local

Transport: stdio
License: Apache-2.0
Last checked: 2026-10-28

Overview

About BI Chart

An MCP (Model Context Protocol) server for data transformation and BI charts will allow AI assistants to connect to your data sources, transform data, and generate high-quality visualizations through natural language requests.

Tools

No tool list yet. Remote servers get one after the first health check.

FAQ

BI Chart MCP Server

This project implements the BI Chart MCP Server using Python. Previously, the functionality was prototyped with TypeScript, but the current and maintained version is built with Python.

Project Structure

mcp_bi_visualizer/: Contains the main server code and modules.
- server.py: Main entry point for starting the MCP server.
- data/: Data loading and processing modules.
  - loader.py
  - processor.py
- resources/: Modules to manage project resources.
  - manager.py
  - memo.py
- visualization/: Visualization components.
  - renderer.py
  - vega_lite.py
scripts/
- run_server.py: A script to launch the server.
tests/: Unit tests for the server and visualization components.
Other files include configuration files (e.g., pyproject.toml, requirements.txt, setup.py) and documentation.

Installation

Clone the repository.

Create a virtual environment and activate it:

python -m venv .venv
.venv\Scripts\activate   # On Windows

Install the required dependencies:
```
pip install -r requirements.txt
```

Running the Server

You can run the server using the provided script:

python scripts/run_server.py

Alternatively, you can start the server directly from the module:

python -m mcp_bi_visualizer.server

Testing

Run the tests using your preferred test runner. For example, with pytest:

pytest

Notes

The project has been migrated from a TypeScript-based implementation to Python.
For any issues or contributions, please refer to the CONTRIBUTING.md file.

Enjoy using the BI Chart MCP Server!

BI Chart

Añadir este servidor

Host a copy with our keys and logs.

Server facts

About BI Chart

Tools

Questions

How do I install BI Chart?

Does BI Chart need an API key?

What transport does BI Chart use?

When was BI Chart last checked?

Documentation

BI Chart MCP Server

Project Structure

Installation

Running the Server

Testing

Notes