Datax MCP Server

by haobosang

338 downloads
Not rated
GitHub

About

Datax is an intelligent data analysis tool designed for the AI era, enabling users to interact with data through natural language to effortlessly gain deep business insights and predictive analytics.

Details

Author
haobosang
Downloads
338
Categories
Search

- Data search
- Natural language data interaction
- Business insights and predictive analytics

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name Datax MCP Server
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

Install and configure using uv: initialize a project, create a virtual environment, add dependencies like requests and fastmcp, then run the server with uv run server.py.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "datax mcp server": {
            "datax-mcp-server": {
                "command": "uv",
                "args": [
                    "init"
                ]
            }
        }
    }
}

McpServers

{
    "datax-mcp-server": {
        "command": "uv",
        "args": [
            "init"
        ]
    }
}

Datax MCP Server

Datax is an intelligent data analysis tool designed for the AI era, enabling users to interact with data through natural language to effortlessly gain deep business insights and predictive analytics.

✨ Core Features

- 🔎 Data Search:

How to Use

uv init

uv venv

source .venv/bin/activate

uv add --default-index https://pypi.tuna.tsinghua.edu.cn/simple requests

uv add requests fastmcp

uv run server.py

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