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Datax MCP Server

@haobosang

About 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.

Basic information

Category

Data & Analytics

License

Apache-2.0 license

Runtime

python

Transports

stdio

Publisher

haobosang

Config

Add this server to your MCP-compatible client using the configuration below.

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

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Datax MCP Server?

Datax MCP Server 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.

How to use Datax MCP Server?

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.

Key features of Datax MCP Server

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

Use cases of Datax MCP Server

  • Querying business data using natural language
  • Obtaining predictive analytics from data sources

FAQ from Datax MCP Server

What runtime environment does Datax MCP Server require?

It requires Python with uv and dependencies such as requests and fastmcp.

How do I start the server?

After installing dependencies, run uv run server.py in your project directory.

Does Datax MCP Server connect to external APIs?

The README mentions adding requests as a dependency, suggesting it can make HTTP requests, but no specific API is named.

Comments

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