mcp-server-example
This project is a Model Context Protocol (MCP) server designed to enable AI assistants to access and process local data files, using tools to handle CSV and Parquet formats. It integrates with Claude for Desktop to facilitate natural language data queries with a modular and expandable structure.
🧠 MCP Server: Local AI Tooling with Python
This project sets up a lightweight Model Context Protocol (MCP) server using Python. It allows AI assistants like Claude to interact with local data files such as CSV and Parquet, facilitating tasks such as summarizing datasets or retrieving information through natural language queries.
🚀 Features
- Local MCP Server: Facilitates communication between Claude and local tools.
- CSV and Parquet Readers: Load and process data formats used in data analysis.
- Modular Structure: Designed for easy expansion.
- Seamless Claude Integration: Connects with Claude for natural language interactions.
⚙️ Configuration for Claude Desktop
Configure Claude for Desktop to use the MCP server for data interactions.
📚 References
Based on the tutorial: Building a Basic MCP Server with Python.
📝 License
Licensed under the MIT License.