csv-files-mcp-server-by-cdata
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CData's Model Context Protocol (MCP) Server for CSV Files is a read-only server that allows LLMs to query live data from CSV files using the CData JDBC Driver.
The CData MCP Server for CSV Files is designed to facilitate the interaction between large language models (LLMs) and CSV data sources. By leveraging the CData JDBC Driver, this server exposes CSV files as relational SQL models, enabling LLMs to query live data without requiring SQL knowledge. The server is read-only, but a full-featured version with read, write, update, and delete capabilities is available in beta. The server is particularly useful for applications like Claude Desktop, where users can ask natural language questions to retrieve data insights.
Features
- Read-only access to CSV data through a simple MCP interface.
- Integration with CData JDBC Driver to expose CSV files as SQL models.
- Allows LLMs to query data using natural language without SQL.
- Supports a wide range of data sources through CData's extensive driver library.
- Configurable connection settings for tailored data access.