About Datax MCP Server
Datax MCP Server describes an AI-era data analysis tool for exploring data through natural language and obtaining business insights and predictive analytics. The README only briefly mentions data search and provides few implementation details.
Key features
- 01Data search
- 02Natural-language data interaction
- 03Business insights
- 04Predictive analytics
Use cases
- 01Explore data using natural language
- 02Find relevant data
- 03Obtain business insights
- 04Perform predictive analysis
MCP support
This is an MCP server. The README describes Datax as a data analysis tool but does not specify the interfaces it exposes to MCP clients.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEDatax 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
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.