MCP.so
登录

BI Chart MCP Server

@c-cf

代码仓库

关于 BI Chart MCP Server

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.

基本信息

分类

数据与分析

许可证

Apache-2.0

运行时

python

传输方式

stdio

发布者

c-cf

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "bi-chart-mcp-server": {
      "command": "python",
      "args": [
        "-m",
        "mcp_bi_visualizer.server"
      ]
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is BI Chart MCP Server?

BI Chart MCP Server is a Python‑based implementation of a Model Context Protocol (MCP) server for business intelligence chart visualization. It was migrated from an earlier TypeScript prototype and is intended for developers who need programmatic chart creation within MCP environments.

How to use BI Chart MCP Server?

Clone the repository, create a virtual environment, install dependencies from requirements.txt, then start the server using python scripts/run_server.py or python -m mcp_bi_visualizer.server. Run tests with pytest.

Key features of BI Chart MCP Server

  • Built with Python, migrated from TypeScript
  • Modular structure: data loading, processing, visualization
  • Uses Vega‑Lite for chart rendering
  • Includes unit tests for core components
  • Configurable via requirements.txt and pyproject.toml

Use cases of BI Chart MCP Server

  • —

FAQ from BI Chart MCP Server

What language is the server written in?

The server is written in Python. The earlier prototype used TypeScript but the maintained version is Python.

How do I install and run the server?

Clone the repo, create a virtual environment, install dependencies, then run via python scripts/run_server.py or python -m mcp_bi_visualizer.server.

Are there tests?

Yes, unit tests are located in the tests/ directory and can be run with pytest.

Does the server have any configuration requirements?

The project uses standard Python configuration files such as requirements.txt, pyproject.toml, and setup.py. Detailed configuration beyond dependency installation is not described in the README.

Is there documentation for contributing?

Yes, the project includes a CONTRIBUTING.md file for guidelines on issues and contributions.

评论

数据与分析 分类下的更多 MCP 服务器

Google Ads MCP

cohnen

An MCP tool that connects Google Ads with Claude AI/Cursor and others, allowing you to analyze your advertising data through natural language conversations. This integration gives you access to campaign information, performance metrics, keyword analytics, and ad management—all th

657

HubSpot MCP Server

baryhuang

A Model Context Protocol (MCP) server that enables AI assistants to interact with HubSpot CRM data, providing built-in vector storage and caching mechanisms help overcome HubSpot API limitations while improving response times.

128

Healthcare MCP Server

Cicatriiz

A Model Context Protocol (MCP) server providing AI assistants with access to healthcare data and medical information tools, including FDA drug info, PubMed, medRxiv, NCBI Bookshelf, clinical trials, ICD-10, DICOM metadata, and a medical calculator.

117

Bright Data MCP

brightdata-com

A powerful Model Context Protocol (MCP) server that provides an all-in-one solution for public web access.

2.5K

Google Analytics MCP Server

surendranb

Google Analytics 4 data to AI agents, agentic workflows, and MCP clients. Give agents analysis-ready access to website traffic, user behavior, and performance data with schema discovery, server-side aggregation, and safe defaults that reduce data wrangling.

225