csv-files-mcp-server-by-cdata
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The CData MCP Server for CSV Files allows large language models to interact with live CSV data using natural language, eliminating the need for SQL queries. It wraps the CData JDBC Driver to present CSV files as relational data models through an MCP interface.
csv-files-mcp-server-by-cdata
Purpose
CData's read-only MCP Server for CSV Files enables LLMs to query live data in CSV files through natural language without using SQL. This server uses the CData JDBC Driver for CSV to expose CSV as relational SQL models.
Setup Guide
- Clone the repository and build the server. 2. Install and license the CData JDBC Driver for CSV Files. 3. Configure the JDBC connection. 4. Create your JDBC connection property file. 5. Configure Claude Desktop to use the MCP server.
Usage Details
Once configured, the server lets AI clients perform operations like reading, writing, updating, and deleting data using natural language queries.