CDataSoftware_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 designed to allow LLMs to query live data from CSV files using natural language, without requiring SQL knowledge.
CData's Model Context Protocol (MCP) Server for CSV Files is a specialized server that facilitates the interaction between large language models (LLMs) and CSV file data. By leveraging the CData JDBC Driver for CSV Files, this server exposes CSV data as relational SQL models, enabling LLMs to access and query live data seamlessly. The server is designed to be read-only, providing a secure and efficient way to retrieve information without altering the underlying data. This setup is particularly beneficial for users who need to access data dynamically without the complexity of SQL queries. The server is built to integrate with tools like Claude Desktop, allowing users to ask natural language questions and receive data-driven answers. The server's architecture ensures that data retrieval is straightforward and user-friendly, making it an ideal solution for businesses and individuals looking to harness the power of LLMs for data analysis and reporting.
Features
- Read-only access to CSV data through a simple MCP interface.
- Integration with CData JDBC Driver for CSV Files to expose data as relational SQL models.
- Enables LLMs to query live data using natural language questions.
- Simplified setup process for seamless integration with tools like Claude Desktop.
- Secure data retrieval without the need for SQL knowledge.
Tools
csv_files_get_tables
Retrieves a list of tables available in the data source.
csv_files_get_columns
Retrieves a list of columns for a specified table.
csv_files_run_query
Executes a SQL SELECT query on the data source.