mcp-csv-xls

The mcp-csv-xls server provides a robust implementation of the Model Context Protocol (MCP) specifically designed for handling CSV and XLS file formats. Developers can use this server to seamlessly convert, manipulate, and serve data in these formats, making it an essential tool for applications that require data exchange or transformation between different systems. With its straightforward API and support for multiple file operations, it simplifies the integration of CSV and XLS data handling in your projects.

Once connected to the mcp-csv-xls server, you can send requests to convert CSV files to XLS format and vice versa. You can utilize standard HTTP methods to interact with the server, making it easy to integrate into existing workflows or applications. Queries typically involve specifying the file type you want to convert, along with any necessary parameters for file handling, such as delimiters or encoding options. Currently, there are no additional tools documented for this server, so you'll primarily work with the core functionalities provided.

Prerequisites

Before installing the mcp-csv-xls server, ensure you have Node.js installed on your machine. You can download it from nodejs.org.

Option A: Quick Start with npx

If you prefer a quick start without a global installation, you can use npx to run the server directly:

npx -y dakone22/mcp-csv-xls-server

Option B: Global Install Alternative

Alternatively, you can clone the repository and install it globally:

git clone https://github.com/dakone22/mcp-csv-xls-server.git
cd mcp-csv-xls-server
npm install -g

For optimal performance, consider configuring your environment variables for file storage paths and any necessary API keys if your application requires external data sources. Keep in mind that large files may take longer to process, so monitor your server's performance and adjust your resource allocation accordingly. Additionally, ensure you validate file formats before sending requests to avoid errors during processing.