Xiyan_table_mcp_server

Name: Xiyan_table_mcp_server
Author: zyy07

@zyy07

代码仓库

关于 Xiyan_table_mcp_server

暂无概览

基本信息

分类

其他

运行时

python

传输方式

stdio

发布者

zyy07

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "xiyan_table_mcp_server": {
      "command": "python",
      "args": [
        "-m",
        "xiyan_table_mcp_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 Xiyan_table_mcp_server?

Xiyan_table_mcp_server is an MCP server that enables natural language querying of CSV table data using large language models. It supports general LLMs such as GPT and Qwen‑Max, as well as the XiYanTable model, and provides the get_data tool to analyze and respond to natural language questions about table contents.

How to use Xiyan_table_mcp_server?

Install the server via pip: pip install xiyan-table-mcp-server. After installation, create a YAML configuration file (based on the provided config_demo.yml) specifying the CSV path, encoding, preview rows, and model settings. Set the environment variable YML to the config file path, then run the server with python -m xiyan_table_mcp_server. For MCP clients, use the JSON launch configuration shown in the README.

Key features of Xiyan_table_mcp_server

Natural language querying of CSV table data.
Supports GPT, Qwen‑Max, and XiYanTable models.
Reads table contents from CSV files.
Configurable table path, encoding, and preview rows.
Provides a single get_data tool for analysis.
Minimal setup with a YAML configuration file.

Use cases of Xiyan_table_mcp_server

Query CSV data without writing SQL or Python code.
Integrate natural language table analysis into MCP‑compatible applications.
Quickly preview and explore tabular data using conversational AI.
Prototype data‑driven conversations with large language models.

FAQ from Xiyan_table_mcp_server

What Python version is required?

Python 3.10 or higher is required to run the server.

How do I configure the server?

You must provide a YAML configuration file. The README includes a config_demo.yml example that defines the CSV path, encoding, preview row count, model name, API key, API base URL, and temperature.

What language models are supported?

The server supports general LLMs such as GPT and Qwen‑Max, as well as the XiYanTable model. Model details are set via the YAML configuration.

How do I specify the YAML configuration file path?

Set the environment variable YML to the absolute path of your YAML configuration file before starting the server. For example: env YML=path/to/yml python -m xiyan_table_mcp_server.