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CSV Files MCP Server by CData

@CDataSoftware

基本信息

分类

数据与分析

传输方式

stdio

作者

CDataSoftware

提交者

Cameron Leblanc

关于 CSV Files MCP Server by CData

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free [CData MCP Server for CSV Files (beta)](https://www.cdata.com/download/download.aspx?sku=RVZK-V&type=beta).

CSV Files MCP Server by CData 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "{classname_dash}": {
      "command": "PATH\\TO\\java.exe",
      "args": [
        "-jar",
        "PATH\\TO\\CDataMCP-jar-with-dependencies.jar",
        "PATH\\TO\\csv-files.prp"
      ]
    }
  }
}

CSV Files MCP Server by CData 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。

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 CSV Files MCP Server by CData?

A read-only MCP (Model Context Protocol) server that lets LLMs like Claude Desktop query live CSV files using natural language. It wraps the CData JDBC Driver for CSV Files, exposing local CSV data as relational SQL tables without requiring SQL knowledge from the user.

How to use CSV Files MCP Server by CData?

Clone the repository, build the JAR with mvn clean install, download and license the CData JDBC Driver for CSV Files, and create a .prp configuration file with the JDBC connection string. Then configure your MCP client (e.g., Claude Desktop) to launch the server with java -jar CDataMCP-jar-with-dependencies.jar <path-to>.prp. The server uses the stdio transport and runs locally.

Key features of CSV Files MCP Server by CData

  • Read-only MCP server for querying CSV data.
  • Exposes CSV files as relational SQL models.
  • Supports natural language queries via MCP interface.
  • Built-in tools: get_tables, get_columns, run_query.
  • Requires CData JDBC Driver for CSV Files.
  • Uses stdio transport for local client communication.

Use cases of CSV Files MCP Server by CData

  • Ask an LLM to summarize sales figures from CSV invoices.
  • Query CSV log files for trends and anomalies.
  • Retrieve filtered records from CSV datasets without writing SQL.
  • Analyze relationships across multiple CSV tables through natural language.

常见问题

1

Is this server read-only?

Yes, it is a read-only MCP server. For full read, write, update, and delete capabilities, use CData’s free MCP Server for CSV Files (beta).

2

What transport does the server use?

It uses stdio, so the server must run on the same machine as the MCP client (e.g., Claude Desktop).

3

What are the runtime requirements?

Java (to run the JAR), Maven (to build from source), and the CData JDBC Driver for CSV Files (requires a free trial or license key).

4

How do I configure the connection?

Create a `.prp` file with properties such as `JdbcUrl`, `DriverPath`, `DriverClass`, and `Tables`. Use the connection string builder provided by the JDBC driver to generate the correct URL.

评论

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