mcp-server-example
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This project sets up a lightweight Model Context Protocol (MCP) server using Python, enabling AI assistants like Claude to interact with local data files such as CSV and Parquet.
The MCP Server is a local AI tooling project that facilitates interaction between AI assistants and local data files. By setting up a lightweight Model Context Protocol (MCP) server using Python, it allows AI assistants like Claude to perform tasks such as summarizing datasets or retrieving specific information through natural language queries. The server supports CSV and Parquet file formats, making it suitable for data analysis tasks. The project is designed with a modular structure, allowing for easy expansion with additional tools. It seamlessly integrates with Claude for Desktop, enabling natural language interactions with your data.
Features
- Local MCP Server: Facilitates communication between Claude and your local tool.
- CSV and Parquet Readers: Tools to load and process tabular data formats commonly used in data analysis.
- Modular Structure: Clean codebase designed for easy expansion with additional tools.
- Seamless Claude Integration: Connects directly with Claude for Desktop, allowing natural language interactions with your data.
